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description Publicationkeyboard_double_arrow_right Article , Preprint 2023 Switzerland, ItalyPublisher:MDPI AG Funded by:EC | ReInHerit, EC | DOORS, EC | inDICEs +2 projectsEC| ReInHerit ,EC| DOORS ,EC| inDICEs ,EC| DISCE ,EC| CraeftXenophon Zabulis; Nikolaos Partarakis; Ioanna Demeridou; Paraskevi Doulgeraki; Emmanouil Zidianakis; Antonis Argyros; Maria Theodoridou; Yannis Marketakis; Carlo Meghini; Valentina Bartalesi; Nicolò Pratelli; Christian Holz; Paul Streli; Manuel Meier; Matias Katajavaara Seidler; Laura Werup; Peiman Fallahian Sichani; Sotiris Manitsaris; Gavriela Senteri; Arnaud Dubois; Chistodoulos Ringas; Aikaterini Ziova; Eleana Tasiopoulou; Danai Kaplanidi; David Arnaud; Patricia Hee; Gregorio Canavate; Marie-Adelaide Benvenuti; Jelena Krivokapic;A roadmap is proposed that defines a systematic approach for craft preservation and its evaluation. The proposed roadmap aims to deepen craft understanding so that blueprints of appropriate tools that support craft documentation, education, and training can be designed while achieving preservation through the stimulation and diversification of practitioner income. In addition to this roadmap, an evaluation strategy is proposed to validate the efficacy of the developed results and provide a benchmark for the efficacy of craft preservation approaches. The proposed contribution aims at the catalyzation of craft education and training with digital aids, widening access and engagement to crafts, economizing learning, increasing exercisability, and relaxing remoteness constraints in craft learning. Heritage, 6 (7) ISSN:2571-9408
Heritage; CNR ExploR... arrow_drop_down Heritage; CNR ExploRAOther literature type . Article . 2023 . Peer-reviewedLicense: CC BYFull-Text: https://www.mdpi.com/2571-9408/6/7/280/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.20944/preprints202306.1214.v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Heritage; CNR ExploR... arrow_drop_down Heritage; CNR ExploRAOther literature type . Article . 2023 . Peer-reviewedLicense: CC BYFull-Text: https://www.mdpi.com/2571-9408/6/7/280/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.20944/preprints202306.1214.v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 ItalyPublisher:DigItalia - Rivista del digitale nei Beni Culturali Funded by:EC | ARIADNEplus, EC | ARIADNE, FCT | D4EC| ARIADNEplus ,EC| ARIADNE ,FCT| D4Acconcia V.; Boi V.; Candela L.; Falcone A.; Mangiacrapa F.; Massara F.; Pagano P.; Sinibaldi F.;L’articolo racconta l’esperienza del D4GNA - Dataset per il Geoportale Nazionale dell’Archeologia nato nell’ambito del progetto ARIADNEplus (Advanced Research Infrastructure for Archaeological Dataset Networking in Europe - plus), conclusosi lo scorso 31 dicembre. Il contributo parte dal contesto più ampio del progetto europeo per addentrarsi nel mondo dei dati archeologici italiani; la soluzione tecnologica, la standardizzazione, la dematerializzazione e la condivisione in rete dei dati sono i temi toccati in questo percorso che ci illustra il procedere verso un obiettivo virtuoso: il Geoportale Nazionale per l’Archeologia (GNA). Il GNA, realizzato dall’Istituto Centrale per l’Archeologia (ICA) e che sarà in rete dal 10 luglio 2023, è il punto di accesso nazionale per accogliere e consultare gli interventi archeologici svolti sotto la direzione scientifica del Ministero della Cultura (MiC), le indagini archeologiche condotte da università e altri enti di ricerca, nonché altre banche dati territoriali.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.36181/digitalia-00064&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 5visibility views 5 download downloads 1 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.36181/digitalia-00064&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2023 ItalyPublisher:Oxford University Press (OUP) Funded by:EC | SoBigData-PlusPlus, FCT | MS3, EC | AI4MediaEC| SoBigData-PlusPlus ,FCT| MS3 ,EC| AI4MediaAuthors: Barbara Berti; Andrea Esuli; Fabrizio Sebastiani;Barbara Berti; Andrea Esuli; Fabrizio Sebastiani;handle: 2434/965356
AbstractNative language identification (NLI) is the task of training (via supervised machine learning) a classifier that guesses the native language of the author of a text. This task has been extensively researched in the last decade, and the performance of NLI systems has steadily improved over the years. We focus on a different facet of the NLI task, i.e. that of analysing the internals of an NLI classifier trained by an explainable machine learning (EML) algorithm, in order to obtain explanations of its classification decisions, with the ultimate goal of gaining insight into which linguistic phenomena ‘give a speaker’s native language away’. We use this perspective in order to tackle both NLI and a (much less researched) companion task, i.e. guessing whether a text has been written by a native or a non-native speaker. Using three datasets of different provenance (two datasets of English learners’ essays and a dataset of social media posts), we investigate which kind of linguistic traits (lexical, morphological, syntactic, and statistical) are most effective for solving our two tasks, namely, are most indicative of a speaker’s L1; our experiments indicate that the most discriminative features are the lexical ones, followed by the morphological, syntactic, and statistical features, in this order. We also present two case studies, one on Italian and one on Spanish learners of English, in which we analyse individual linguistic traits that the classifiers have singled out as most important for spotting these L1s; we show that the traits identified as most discriminative well align with our intuition, i.e. represent typical patterns of language misuse, underuse, or overuse, by speakers of the given L1. Overall, our study shows that the use of EML can be a valuable tool for the scholar who investigates interlanguage facts and language transfer.
Archivio Istituziona... arrow_drop_down Digital Scholarship in the Humanities; CNR ExploRAArticle . 2023 . Peer-reviewedLicense: OUP Standard Publication Reuseadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/llc/fqad019&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 7visibility views 7 download downloads 2 Powered bymore_vert Archivio Istituziona... arrow_drop_down Digital Scholarship in the Humanities; CNR ExploRAArticle . 2023 . Peer-reviewedLicense: OUP Standard Publication Reuseadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/llc/fqad019&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 ItalyPublisher:Informa UK Limited Funded by:EC | MOVINGEC| MOVINGBartalesi, Valentina; Coro, Gianpaolo; Lenzi, Emanuele; Pagano, Pasquale; Pratelli, Nicolò;Digital maps greatly support storytelling about territories, especially when enriched with data describing cultural, societal, and ecological aspects, conveying emotional messages that describe the territory as a whole. Story maps are interactive online digital narratives that can describe a territory beyond its map by enriching the map with text, pictures, videos, and other multimedia information. This paper presents a semi-automatic workflow to produce story maps from textual documents containing territory data. An expert first assembles one territory-contextual document containing text and images. Then, automatic processes use natural language processing and Wikidata services to (i) extract key concepts (entities) and geospatial coordinates associated with the territory, (ii) assemble a logically-ordered sequence of enriched story-map events, and (iii) openly publish online story maps and an interoperable Linked Open Data semantic knowledge base for event exploration and inter-story correlation analyses. Our workflow uses an Open Science-oriented methodology to publish all processes and data. Through our workflow, we produced story maps for the value chains and territories of 23 rural European areas of 16 countries. Through numerical evaluation, we demonstrated that territory experts considered the story maps effective in describing their territories, and appropriate for communicating with citizens and stakeholders.
ZENODO; Internationa... arrow_drop_down ZENODO; International Journal of Digital Earth; CNR ExploRAArticle . 2023 . Peer-reviewedLicense: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/17538947.2023.2168774&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 5 citations 5 popularity Top 10% influence Average impulse Average Powered by BIP!visibility 28visibility views 28 download downloads 30 Powered bymore_vert ZENODO; Internationa... arrow_drop_down ZENODO; International Journal of Digital Earth; CNR ExploRAArticle . 2023 . Peer-reviewedLicense: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/17538947.2023.2168774&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 Italy EnglishPublisher:ERCIM., Le Chesnay Funded by:EC | ARIADNEplusEC| ARIADNEplusAuthors: Bardi A.; Assante M.; Mangiacrapa F.;Bardi A.; Assante M.; Mangiacrapa F.;The ARIADNE infrastructure provides tools and services for researchers to address archaeological grand challenges that require discovery and analysis of information scattered across different thematic and geographically distributed sources.
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=cnr_________::cc5bcc058506ae459f77d07da6751f47&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=cnr_________::cc5bcc058506ae459f77d07da6751f47&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Report 2023 Italy English Funded by:EC | ARIADNEplus, EC | Blue CloudEC| ARIADNEplus ,EC| Blue CloudCandela L.; Cirillo R.; Mangiacrapa F.; Pagano P.; Sinibaldi F.; Vannini G. L.;The gCube Geoportal platform is a component of the gCube open source software system conceived to support the creation and publication of georeferenced research objects, i.e. multi-part and multimedia research objects characterised by geospatial and temporal features. The Geoportal platform enables user communities to fully customise the data model characterising their instance by defining the structure, the content and the workflow of the potential research objects to be managed. `this report carefully describes the technology and documents how it was exploited to serve the development of a national catalogue for archaeological artifacts.
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=cnr_________::ae02ef5f89ec59daa99176c0d97093b3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=cnr_________::ae02ef5f89ec59daa99176c0d97093b3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Conference object 2022 ItalyPublisher:Association for Computing Machinery (ACM) Funded by:EC | SoBigData-PlusPlus, EC | ARIADNEplus, EC | EXA MODE +1 projectsEC| SoBigData-PlusPlus ,EC| ARIADNEplus ,EC| EXA MODE ,EC| AI4MediaAuthors: Alejandro Moreo; Andrea Pedrotti; Fabrizio Sebastiani;Alejandro Moreo; Andrea Pedrotti; Fabrizio Sebastiani;Funnelling(Fun) is a recently proposed method for cross-lingual text classification (CLTC) based on a two-tier learning ensemble for heterogeneous transfer learning (HTL). In this ensemble method, 1st-tier classifiers, each working on a different and language-dependent feature space, return a vector of calibrated posterior probabilities (with one dimension for each class) for each document, and the final classification decision is taken by a meta-classifier that uses this vector as its input. The meta-classifier can thus exploit class-class correlations, and this (among other things) givesFunan edge over CLTC systems in which these correlations cannot be brought to bear. In this article, we describeGeneralized Funnelling(gFun), a generalization ofFunconsisting of an HTL architecture in which 1st-tier components can be arbitraryview-generating functions, i.e., language-dependent functions that each produce a language-independent representation (“view”) of the (monolingual) document. We describe an instance ofgFunin which the meta-classifier receives as input a vector of calibrated posterior probabilities (as inFun) aggregated to other embedded representations that embody other types of correlations, such as word-class correlations (as encoded byWord-Class Embeddings), word-word correlations (as encoded byMultilingual Unsupervised or Supervised Embeddings), and word-context correlations (as encoded bymultilingual BERT). We show that this instance ofgFunsubstantially improves overFunand over state-of-the-art baselines by reporting experimental results obtained on two large, standard datasets for multilingual multilabel text classification. Our code that implementsgFunis publicly available.
ZENODO; ACM Transact... arrow_drop_down ZENODO; ACM Transactions on Information SystemsArticle . 2022 . Peer-reviewedLicense: CC BYFull-Text: https://dl.acm.org/doi/pdf/10.1145/3544104add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3544104&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 215visibility views 215 download downloads 41 Powered bymore_vert ZENODO; ACM Transact... arrow_drop_down ZENODO; ACM Transactions on Information SystemsArticle . 2022 . Peer-reviewedLicense: CC BYFull-Text: https://dl.acm.org/doi/pdf/10.1145/3544104add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3544104&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Italy, FrancePublisher:Association for Computing Machinery (ACM) Funded by:EC | NANOPCM, EC | MingeiEC| NANOPCM ,EC| MingeiXenophon Zabulis; Carlo Meghini; Arnaud Dubois; Paraskevi Doulgeraki; Nikolaos Partarakis; Ilia Adami; Effie Karuzaki; Anne-Laure Carre; Nikolaos Patsiouras; Danae Kaplanidi; Daniele Metilli; Valentina Bartalesi; Chris Ringas; Eleana Tasiopoulou; Zinovia Stefanidi;doi: 10.1145/3494675
International audience; An approach to the representation and documentation of craft processes is proposed. The proposed approach is a method for the systematic identification and digital representation of pertinent data, information, and knowledge. The outcome representation is compatible with contemporary digitisation practices and digital preservation standards. The implementation of the approach is provided within the context of an online platform that is accompanied by auxiliary tools for digital curation. This platform is a multiple user system, where craft representations can be collaboratively authored, shared, displayed, and digitally preserved in standardised formats. Basic uses of this scheme and presentational applications are provided, along with identification of future work and limitations.
ZENODO; Journal on C... arrow_drop_down ZENODO; Journal on Computing and Cultural HeritageOther literature type . Article . Preprint . 2022 . Peer-reviewedLicense: CC BYFull-Text: https://dl.acm.org/doi/pdf/10.1145/3494675add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3494675&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 36visibility views 36 download downloads 67 Powered bymore_vert ZENODO; Journal on C... arrow_drop_down ZENODO; Journal on Computing and Cultural HeritageOther literature type . Article . Preprint . 2022 . Peer-reviewedLicense: CC BYFull-Text: https://dl.acm.org/doi/pdf/10.1145/3494675add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3494675&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Presentation 2022 Italy, France, Italy EnglishPublisher:Zenodo Funded by:EC | SSHOCEC| SSHOCAuthors: Larrousse, Nicolas; Gray, Edward J.; Concordia, Cesare;Larrousse, Nicolas; Gray, Edward J.; Concordia, Cesare;If citation is a common practice for publications, it is relatively new for data especially in SSH. This paper will present the work carried out during the SSHOC project about data citation in general and more precisely how to make them actionable. The metaphor of a travel journal of an expedition seemed appropriate to us to present this work carried out during the SSHOC project. The first part was to study this terra incognita by making an inventory of citation practices (https://doi.org/10.5281/zenodo.3595965). To summarize, we discovered that in the research communities we investigated, practices were seldom standardized and were very diverse, generally producing citations that could not be processed by machines: in other words they were not “actionable”. This led us to develop a sort of guide necessary to journey through this new, uncharted territory in the form of a set of recommendations ( https://doi.org/10.5281/zenodo.5361717) to build citations in SSH. So as not to reinvent the wheel, we based these recommendations on existing principles created by Force11 ( https://doi.org/10.25490/a97f-egyk) by adapting them to the specific characteristics of the SSH data. These recommendations were validated by a committee of experts from different backgrounds and structures (RDA participants, CODATA director, OpenAire Engineers etc.) during a round table (https://www.sshopencloud.eu/news/roundtable-experts-data-citation) and in a parallel review process. Then we decided to analyze the resources available in this new territory, that is, the repositories that are so crucial to be able to cite data. We carried out an analysis of 85 repositories against 7 quality criteria based on the recommendations which ensure continuity with the work mentioned above: PID from “Unique Identification & Persistence” Landing page from “Access” Structured metadata from “Importance & Credit and Attribution” Cite as from “Evidence, Specificity & Verifiability” Versioning from “Specificity and Verifiability” Standardized vocabularies from “Interoperability and Flexibility” Links to publications from “Importance” The results of this survey (https://doi.org/10.5281/zenodo.5603306) are encouraging - even if there is room for improvement, particularly in the use of Persistent Identifiers. Importantly, the presence of a landing page in almost all cases allowed us to build up a test sample made up of a very diverse dataset from those repositories for which we want to build standardized and actionable citations. In parallel we developed a tool in order to “harvest” the resources found in this new land so as to better understand them and also be able to explain them to others. We developed a prototype composed of three components: a harvester which grabs information about a dataset and normalizes it an API to disseminate the metadata of the citation thereby making it actionable a citation viewer for human purposes For the first iteration to populate this prototype, we used the dataset collected during our survey of repositories and we are going to gradually add more datasets from various sources. This prototype is primarily designed to implement what we called “actionability” to a citation and provide a ready-to-use citation in various citation formats. Starting from the PID of a dataset, the prototype attempts to aggregate metadata from different sources: the repository of the dataset, the PID Registration Agency and a number of Knowledge Graphs. For instance, while metadata associated with a DOI (Digital Object Identifier) are limited and those provided by a handle are even more scarce, it is possible to get more information from a landing page and thus enrich the citation. We also used another indirect approach to gather additional information by using a registry of repositories (RE3Data https://www.re3data.org/) which provides, among other things, information on the available APIs available for a specific repository. Thus the prototype can give a unified view of information about datasets coming from different sources. For researchers, it thus avoids cumbersome work on how to cite a dataset or get information about its provenance. In return, it makes a researcher aware of the importance of properly documenting a dataset and depositing it in a “good” repository. This paper will present in greater detail what we learned at each step of this expedition and how a research project can take advantage of a good citation system to enhance the visibility of the output. We will also introduce the potential uses based on the information provided by the prototype such as the possibility of associating a specific tool to process data or the use of this information as a base to build data papers.
ISTI Open Portal arrow_drop_down HAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMUConference object . 2022add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.6921457&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 50visibility views 50 download downloads 46 Powered bymore_vert ISTI Open Portal arrow_drop_down HAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMUConference object . 2022add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.6921457&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Report , Book , Project deliverable 2022 Netherlands, Italy, ItalyPublisher:Zenodo Funded by:EC | SSHOCEC| SSHOCWittenberg, M.; Tykhonov, Vyacheslav; Indarto, E.; Steinhoff, W.; Huis in 't Veld, Laura; Kasberger, Stefan; Conzett, Philipp; Concordia, Cesare; Kiraly, Peter; Parkoła, Tomasz;Within task 5.2 (Hosting and sharing data repositories) of the SSHOC project, repository software is being developed based on Dataverse, for the sharing and publication of research data within the Social Science and Humanities (SSH) domain. Dataverse is open-source research data repository software developed by the Institute for Quantitative Social Science (IQSS), Harvard University. This document describes the work done by task 5.2, for the development of ‘Archive in a Box’ repository software and proof of concept of centralised installation in the cloud.The ‘Archive in a Box’ makes the installation of Dataverse repository software easier for institutes with a lack of technical staff. This document describes the advantages of such a package.Additionally, task 5.2 worked on a proof of concept of a centralised cloud installation of the Dataverse software at the Google cloud infrastructure of CESSDA ERIC. A cloud installation makes it possible to automate the installation and keep the application up and running, for instance by scaling up or down resources when needed. Another advantage of a cloud orchestrator is the ability to start a new component or part of the application, if it should fail for some reason.Furthermore, task 5.2 developed several additional functionalities to the Dataverse software to make the software more compliant to the needs of the SSH communities in Europe.This document describes the results of the accomplished work, and refers to technical details published in GitHub repositories. Already many of the results of task 5.2 are used by the European and Global Dataverse community and some functionalities are integrated in the new versions of the Dataverse master branch of Harvard.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.6676390&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 149visibility views 149 download downloads 81 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5281/zenodo.6676390&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article , Preprint 2023 Switzerland, ItalyPublisher:MDPI AG Funded by:EC | ReInHerit, EC | DOORS, EC | inDICEs +2 projectsEC| ReInHerit ,EC| DOORS ,EC| inDICEs ,EC| DISCE ,EC| CraeftXenophon Zabulis; Nikolaos Partarakis; Ioanna Demeridou; Paraskevi Doulgeraki; Emmanouil Zidianakis; Antonis Argyros; Maria Theodoridou; Yannis Marketakis; Carlo Meghini; Valentina Bartalesi; Nicolò Pratelli; Christian Holz; Paul Streli; Manuel Meier; Matias Katajavaara Seidler; Laura Werup; Peiman Fallahian Sichani; Sotiris Manitsaris; Gavriela Senteri; Arnaud Dubois; Chistodoulos Ringas; Aikaterini Ziova; Eleana Tasiopoulou; Danai Kaplanidi; David Arnaud; Patricia Hee; Gregorio Canavate; Marie-Adelaide Benvenuti; Jelena Krivokapic;A roadmap is proposed that defines a systematic approach for craft preservation and its evaluation. The proposed roadmap aims to deepen craft understanding so that blueprints of appropriate tools that support craft documentation, education, and training can be designed while achieving preservation through the stimulation and diversification of practitioner income. In addition to this roadmap, an evaluation strategy is proposed to validate the efficacy of the developed results and provide a benchmark for the efficacy of craft preservation approaches. The proposed contribution aims at the catalyzation of craft education and training with digital aids, widening access and engagement to crafts, economizing learning, increasing exercisability, and relaxing remoteness constraints in craft learning. Heritage, 6 (7) ISSN:2571-9408
Heritage; CNR ExploR... arrow_drop_down Heritage; CNR ExploRAOther literature type . Article . 2023 . Peer-reviewedLicense: CC BYFull-Text: https://www.mdpi.com/2571-9408/6/7/280/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.20944/preprints202306.1214.v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Heritage; CNR ExploR... arrow_drop_down Heritage; CNR ExploRAOther literature type . Article . 2023 . Peer-reviewedLicense: CC BYFull-Text: https://www.mdpi.com/2571-9408/6/7/280/pdfadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.20944/preprints202306.1214.v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 ItalyPublisher:DigItalia - Rivista del digitale nei Beni Culturali Funded by:EC | ARIADNEplus, EC | ARIADNE, FCT | D4EC| ARIADNEplus ,EC| ARIADNE ,FCT| D4Acconcia V.; Boi V.; Candela L.; Falcone A.; Mangiacrapa F.; Massara F.; Pagano P.; Sinibaldi F.;L’articolo racconta l’esperienza del D4GNA - Dataset per il Geoportale Nazionale dell’Archeologia nato nell’ambito del progetto ARIADNEplus (Advanced Research Infrastructure for Archaeological Dataset Networking in Europe - plus), conclusosi lo scorso 31 dicembre. Il contributo parte dal contesto più ampio del progetto europeo per addentrarsi nel mondo dei dati archeologici italiani; la soluzione tecnologica, la standardizzazione, la dematerializzazione e la condivisione in rete dei dati sono i temi toccati in questo percorso che ci illustra il procedere verso un obiettivo virtuoso: il Geoportale Nazionale per l’Archeologia (GNA). Il GNA, realizzato dall’Istituto Centrale per l’Archeologia (ICA) e che sarà in rete dal 10 luglio 2023, è il punto di accesso nazionale per accogliere e consultare gli interventi archeologici svolti sotto la direzione scientifica del Ministero della Cultura (MiC), le indagini archeologiche condotte da università e altri enti di ricerca, nonché altre banche dati territoriali.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.36181/digitalia-00064&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 5visibility views 5 download downloads 1 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.36181/digitalia-00064&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2023 ItalyPublisher:Oxford University Press (OUP) Funded by:EC | SoBigData-PlusPlus, FCT | MS3, EC | AI4MediaEC| SoBigData-PlusPlus ,FCT| MS3 ,EC| AI4MediaAuthors: Barbara Berti; Andrea Esuli; Fabrizio Sebastiani;Barbara Berti; Andrea Esuli; Fabrizio Sebastiani;handle: 2434/965356
AbstractNative language identification (NLI) is the task of training (via supervised machine learning) a classifier that guesses the native language of the author of a text. This task has been extensively researched in the last decade, and the performance of NLI systems has steadily improved over the years. We focus on a different facet of the NLI task, i.e. that of analysing the internals of an NLI classifier trained by an explainable machine learning (EML) algorithm, in order to obtain explanations of its classification decisions, with the ultimate goal of gaining insight into which linguistic phenomena ‘give a speaker’s native language away’. We use this perspective in order to tackle both NLI and a (much less researched) companion task, i.e. guessing whether a text has been written by a native or a non-native speaker. Using three datasets of different provenance (two datasets of English learners’ essays and a dataset of social media posts), we investigate which kind of linguistic traits (lexical, morphological, syntactic, and statistical) are most effective for solving our two tasks, namely, are most indicative of a speaker’s L1; our experiments indicate that the most discriminative features are the lexical ones, followed by the morphological, syntactic, and statistical features, in this order. We also present two case studies, one on Italian and one on Spanish learners of English, in which we analyse individual linguistic traits that the classifiers have singled out as most important for spotting these L1s; we show that the traits identified as most discriminative well align with our intuition, i.e. represent typical patterns of language misuse, underuse, or overuse, by speakers of the given L1. Overall, our study shows that the use of EML can be a valuable tool for the scholar who investigates interlanguage facts and language transfer.
Archivio Istituziona... arrow_drop_down Digital Scholarship in the Humanities; CNR ExploRAArticle . 2023 . Peer-reviewedLicense: OUP Standard Publication Reuseadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/llc/fqad019&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 7visibility views 7 download downloads 2 Powered bymore_vert Archivio Istituziona... arrow_drop_down Digital Scholarship in the Humanities; CNR ExploRAArticle . 2023 . Peer-reviewedLicense: OUP Standard Publication Reuseadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/llc/fqad019&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 ItalyPublisher:Informa UK Limited Funded by:EC | MOVINGEC| MOVINGBartalesi, Valentina; Coro, Gianpaolo; Lenzi, Emanuele; Pagano, Pasquale; Pratelli, Nicolò;Digital maps greatly support storytelling about territories, especially when enriched with data describing cultural, societal, and ecological aspects, conveying emotional messages that describe the territory as a whole. Story maps are interactive online digital narratives that can describe a territory beyond its map by enriching the map with text, pictures, videos, and other multimedia information. This paper presents a semi-automatic workflow to produce story maps from textual documents containing territory data. An expert first assembles one territory-contextual document containing text and images. Then, automatic processes use natural language processing and Wikidata services to (i) extract key concepts (entities) and geospatial coordinates associated with the territory, (ii) assemble a logically-ordered sequence of enriched story-map events, and (iii) openly publish online story maps and an interoperable Linked Open Data semantic knowledge base for event exploration and inter-story correlation analyses. Our workflow uses an Open Science-oriented methodology to publish all processes and data. Through our workflow, we produced story maps for the value chains and territories of 23 rural European areas of 16 countries. Through numerical evaluation, we demonstrated that territory experts considered the story maps effective in describing their territories, and appropriate for communicating with citizens and stakeholders.
ZENODO; Internationa... arrow_drop_down ZENODO; International Journal of Digital Earth; CNR ExploRAArticle . 2023 . Peer-reviewedLicense: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/17538947.2023.2168774&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 5 citations 5 popularity Top 10% influence Average impulse Average Powered by BIP!visibility 28visibility views 28 download downloads 30 Powered bymore_vert ZENODO; Internationa... arrow_drop_down ZENODO; International Journal of Digital Earth; CNR ExploRAArticle . 2023 . Peer-reviewedLicense: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1080/17538947.2023.2168774&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 Italy EnglishPublisher:ERCIM., Le Chesnay Funded by:EC | ARIADNEplusEC| ARIADNEplusAuthors: Bardi A.; Assante M.; Mangiacrapa F.;Bardi A.; Assante M.; Mangiacrapa F.;The ARIADNE infrastructure provides tools and services for researchers to address archaeological grand challenges that require discovery and analysis of information scattered across different thematic and geographically distributed sources.
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=cnr_________::cc5bcc058506ae459f77d07da6751f47&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=cnr_________::cc5bcc058506ae459f77d07da6751f47&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Report 2023 Italy English Funded by:EC | ARIADNEplus, EC | Blue CloudEC| ARIADNEplus ,EC| Blue CloudCandela L.; Cirillo R.; Mangiacrapa F.; Pagano P.; Sinibaldi F.; Vannini G. L.;The gCube Geoportal platform is a component of the gCube open source software system conceived to support the creation and publication of georeferenced research objects, i.e. multi-part and multimedia research objects characterised by geospatial and temporal features. The Geoportal platform enables user communities to fully customise the data model characterising their instance by defining the structure, the content and the workflow of the potential research objects to be managed. `this report carefully describes the technology and documents how it was exploited to serve the development of a national catalogue for archaeological artifacts.
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=cnr_________::ae02ef5f89ec59daa99176c0d97093b3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=cnr_________::ae02ef5f89ec59daa99176c0d97093b3&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Conference object 2022 ItalyPublisher:Association for Computing Machinery (ACM) Funded by:EC | SoBigData-PlusPlus, EC | ARIADNEplus, EC | EXA MODE +1 projectsEC| SoBigData-PlusPlus ,EC| ARIADNEplus ,EC| EXA MODE ,EC| AI4MediaAuthors: Alejandro Moreo; Andrea Pedrotti; Fabrizio Sebastiani;Alejandro Moreo; Andrea Pedrotti; Fabrizio Sebastiani;Funnelling(Fun) is a recently proposed method for cross-lingual text classification (CLTC) based on a two-tier learning ensemble for heterogeneous transfer learning (HTL). In this ensemble method, 1st-tier classifiers, each working on a different and language-dependent feature space, return a vector of calibrated posterior probabilities (with one dimension for each class) for each document, and the final classification decision is taken by a meta-classifier that uses this vector as its input. The meta-classifier can thus exploit class-class correlations, and this (among other things) givesFunan edge over CLTC systems in which these correlations cannot be brought to bear. In this article, we describeGeneralized Funnelling(gFun), a generalization ofFunconsisting of an HTL architecture in which 1st-tier components can be arbitraryview-generating functions, i.e., language-dependent functions that each produce a language-independent representation (“view”) of the (monolingual) document. We describe an instance ofgFunin which the meta-classifier receives as input a vector of calibrated posterior probabilities (as inFun) aggregated to other embedded representations that embody other types of correlations, such as word-class correlations (as encoded byWord-Class Embeddings), word-word correlations (as encoded byMultilingual Unsupervised or Supervised Embeddings), and word-context correlations (as encoded bymultilingual BERT). We show that this instance ofgFunsubstantially improves overFunand over state-of-the-art baselines by reporting experimental results obtained on two large, standard datasets for multilingual multilabel text classification. Our code that implementsgFunis publicly available.
ZENODO; ACM Transact... arrow_drop_down ZENODO; ACM Transactions on Information SystemsArticle . 2022 . Peer-reviewedLicense: CC BYFull-Text: https://dl.acm.org/doi/pdf/10.1145/3544104add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3544104&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 215visibility views 215 download downloads 41 Powered bymore_vert ZENODO; ACM Transact... arrow_drop_down ZENODO; ACM Transactions on Information SystemsArticle . 2022 . Peer-reviewedLicense: CC BYFull-Text: https://dl.acm.org/doi/pdf/10.1145/3544104add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3544104&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Italy, FrancePublisher:Association for Computing Machinery (ACM) Funded by:EC | NANOPCM, EC | MingeiEC| NANOPCM ,EC| MingeiXenophon Zabulis; Carlo Meghini; Arnaud Dubois; Paraskevi Doulgeraki; Nikolaos Partarakis; Ilia Adami; Effie Karuzaki; Anne-Laure Carre; Nikolaos Patsiouras; Danae Kaplanidi; Daniele Metilli; Valentina Bartalesi; Chris Ringas; Eleana Tasiopoulou; Zinovia Stefanidi;doi: 10.1145/3494675
International audience; An approach to the representation and documentation of craft processes is proposed. The proposed approach is a method for the systematic identification and digital representation of pertinent data, information, and knowledge. The outcome representation is compatible with contemporary digitisation practices and digital preservation standards. The implementation of the approach is provided within the context of an online platform that is accompanied by auxiliary tools for digital curation. This platform is a multiple user system, where craft representations can be collaboratively authored, shared, displayed, and digitally preserved in standardised formats. Basic uses of this scheme and presentational applications are provided, along with identification of future work and limitations.
ZENODO; Journal on C... arrow_drop_down ZENODO; Journal on Computing and Cultural HeritageOther literature type . Article . Preprint . 2022 . Peer-reviewedLicense: CC BYFull-Text: https://dl.acm.org/doi/pdf/10.1145/3494675add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3494675&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesbronze 7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 36visibility views 36 download downloads 67 Powered bymore_vert ZENODO; Journal on C... arrow_drop_down ZENODO; Journal on Computing and Cultural HeritageOther literature type . Article . Preprint . 2022 . Peer-reviewedLicense: CC BYFull-Text: https://dl.acm.org/doi/pdf/10.1145/3494675add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1145/3494675&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Presentation 2022 Italy, France, Italy EnglishPublisher:Zenodo Funded by:EC | SSHOCEC| SSHOCAuthors: Larrousse, Nicolas; Gray, Edward J.; Concordia, Cesare;Larrousse, Nicolas; Gray, Edward J.; Concordia, Cesare;If citation is a common practice for publications, it is relatively new for data especially in SSH. This paper will present the work carried out during the SSHOC project about data citation in general and more precisely how to make them actionable. The metaphor of a travel journal of an expedition seemed appropriate to us to present this work carried out during the SSHOC project. The first part was to study this terra incognita by making an inventory of citation practices (https://doi.org/10.5281/zenodo.3595965). To summarize, we discovered that in the research communities we investigated, practices were seldom standardized and were very diverse, generally producing citations that could not be processed by machines: in other words they were not “actionable”. This led us to develop a sort of guide necessary to journey through this new, uncharted territory in the form of a set of recommendations ( https://doi.org/10.5281/zenodo.5361717) to build citations in SSH. So as not to reinvent the wheel, we based these recommendations on existing principles created by Force11 ( https://doi.org/10.25490/a97f-egyk) by adapting them to the specific characteristics of the SSH data. These recommendations were validated by a committee of experts from different backgrounds and structures (RDA participants, CODATA director, OpenAire Engineers etc.) during a round table (https://www.sshopencloud.eu/news/roundtable-experts-data-citation) and in a parallel review process. Then we decided to analyze the resources available in this new territory, that is, the repositories that are so crucial to be able to cite data. We carried out an analysis of 85 repositories against 7 quality criteria based on the recommendations which ensure continuity with the work mentioned above: PID from “Unique Identification & Persistence” Landing page from “Access” Structured metadata from “Importance & Credit and Attribution” Cite as from “Evidence, Specificity & Verifiability” Versioning from “Specificity and Verifiability” Standardized vocabularies from “Interoperability and Flexibility” Links to publications from “Importance” The results of this survey (https://doi.org/10.5281/zenodo.5603306) are encouraging - even if there is room for improvement, particularly in the use of Persistent Identifiers. Importantly, the presence of a landing page in almost all cases allowed us to build up a test sample made up of a very diverse dataset from those repositories for which we want to build standardized and actionable citations. In parallel we developed a tool in order to “harvest” the resources found in this new land so as to better understand them and also be able to explain them to others. We developed a prototype composed of three components: a harvester which grabs information about a dataset and normalizes it an API to disseminate the metadata of the citation thereby making it actionable a citation viewer for human purposes For the first iteration to populate this prototype, we used the dataset collected during our survey of repositories and we are going to gradually add more datasets from various sources. This prototype is primarily designed to implement what we called “actionability” to a citation and provide a ready-to-use citation in various citation formats. Starting from the PID of a dataset, the prototype attempts to aggregate metadata from different sources: the repository of the dataset, the PID Registration Agency and a number of Knowledge Graphs. For instance, while metadata associated with a DOI (Digital Object Identifier) are limited and those provided by a handle are even more scarce, it is possible to get more information from a landing page and thus enrich the citation. We also used another indirect approach to gather additional information by using a registry of repositories (RE3Data https://www.re3data.org/) which provides, among other things, information on the available APIs available for a specific repository. Thus the prototype can give a unified view of information about datasets coming from different sources. For researchers, it thus avoids cumbersome work on how to cite a dataset or get information about its provenance. In return, it makes a researcher aware of the importance of properly documenting a dataset and depositing it in a “good” repository. This paper will present in greater detail what we learned at each step of this expedition and how a research project can take advantage of a good citation system to enhance the visibility of the output. We will also introduce the potential uses based on the information provided by the prototype such as the possibility of associating a specific tool to process data or the use of this information as a base to build data papers.
ISTI Open Portal arrow_drop_down HAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMUConference object . 2022add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 50visibility views 50 download downloads 46 Powered bymore_vert ISTI Open Portal arrow_drop_down HAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL AMUConference object . 2022add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Report , Book , Project deliverable 2022 Netherlands, Italy, ItalyPublisher:Zenodo Funded by:EC | SSHOCEC| SSHOCWittenberg, M.; Tykhonov, Vyacheslav; Indarto, E.; Steinhoff, W.; Huis in 't Veld, Laura; Kasberger, Stefan; Conzett, Philipp; Concordia, Cesare; Kiraly, Peter; Parkoła, Tomasz;Within task 5.2 (Hosting and sharing data repositories) of the SSHOC project, repository software is being developed based on Dataverse, for the sharing and publication of research data within the Social Science and Humanities (SSH) domain. Dataverse is open-source research data repository software developed by the Institute for Quantitative Social Science (IQSS), Harvard University. This document describes the work done by task 5.2, for the development of ‘Archive in a Box’ repository software and proof of concept of centralised installation in the cloud.The ‘Archive in a Box’ makes the installation of Dataverse repository software easier for institutes with a lack of technical staff. This document describes the advantages of such a package.Additionally, task 5.2 worked on a proof of concept of a centralised cloud installation of the Dataverse software at the Google cloud infrastructure of CESSDA ERIC. A cloud installation makes it possible to automate the installation and keep the application up and running, for instance by scaling up or down resources when needed. Another advantage of a cloud orchestrator is the ability to start a new component or part of the application, if it should fail for some reason.Furthermore, task 5.2 developed several additional functionalities to the Dataverse software to make the software more compliant to the needs of the SSH communities in Europe.This document describes the results of the accomplished work, and refers to technical details published in GitHub repositories. Already many of the results of task 5.2 are used by the European and Global Dataverse community and some functionalities are integrated in the new versions of the Dataverse master branch of Harvard.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 149visibility views 149 download downloads 81 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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