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The present paper describes the etymological component of the TEI Lex-0 initiative which aims at defining a terser subset of the TEI guidelines for the representation of etymological features in dictionary entries. Going beyond the basic provision of etymological mechanisms in the TEI guidelines, TEI Lex-0 Etym proposes a systematic representation of etymological and cognate descriptions by means of embedded constructs based on the (for etymologies) and (for etymons and cognates) elements. In particular, given that all the potential contents of etymons are highly analogous to those of dictionary entries in general, the contents presented herein heavily re-use many of the corresponding features and constraints introduced in other components of the TEI Lex-0 to the encoding of etymologies and etymons. The TEI Lex-0 Etym model is also closely aligned to ISO 24613-3 on modelling etymological data and the corresponding TEI serialisation available in ISO 24613-4.

The authors also acknowledge the support and collaboration of many other colleagues in their respective institutes, research communities and IT Infrastructures, together with the funding received by these from many different sources. These include but are not limited to the following: (i) The Worldwide LHC Computing Grid (WLCG) project is a global collaboration of more than 170 computing centres in 43 countries, linking up national and international grid infrastructures. Funding is acknowledged from many national funding bodies and we acknowledge the support of several operational infrastructures including EGI, OSG and NDGF/NeIC. (ii) EGI acknowledges the funding and support received from the European Commission and the many National Grid Initiatives and other members. EOSC-hub receives funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 777536. (iii) The work leading to these results has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No. 730941 (AARC2). (iv) Work on the development of ESGF's identity management system has been supported by The UK Natural Environment Research Council and funding from the European Union's Seventh Framework Programme for research, technological development and demonstration through projects IS-ENES (grant agreement no 228203) and IS-ENES2 (grant agreement no 312979). (v) Ludek Matyska and Michal Prochazka acknowledge funding from the RI ELIXIR CZ project funded by MEYS Czech Republic No. LM2015047. (vi) Scott Koranda acknowledges support provided by the United States National Science Foundation under Grant No. PHY-1700765. (vii) GÉANT Association on behalf of the GN4 Phase 2 project (GN4-2).The research leading to these results has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No. 731122(GN4-2). (viii) ELIXIR acknowledges support from Research Infrastructure programme of Horizon 2020 grant No 676559 EXCELERATE. (ix) CORBEL life science cluster acknowledges support from Horizon 2020 research and innovation programme under grant agreement No 654248. (x) Mirjam van Daalen acknowledges that the research leading to this result has been supported by the project CALIPSOplus under the Grant Agreement 730872 from the EU Framework Programme for Research and Innovation HORIZON 2020. (xi) EISCAT is an international association supported by research organisations in China (CRIRP), Finland (SA), Japan (NIPR), Norway (NFR), Sweden (VR), and the United Kingdom (NERC). This white-paper expresses common requirements of Research Communities seeking to leverage Identity Federation for Authentication and Authorisation. Recommendations are made to Stakeholders to guide the future evolution of Federated Identity Management in a direction that better satisfies research use cases. The authors represent research communities, Research Services, Infrastructures, Identity Federations and Interfederations, with a joint motivation to ease collaboration for distributed researchers. The content has been edited collaboratively by the Federated Identity Management for Research (FIM4R) Community, with input sought at conferences and meetings in Europe, Asia and North America.

Introduction The scholarly monograph has been compared to the Hapsburg monarchy in that it seems to have been in decline forever! It was in 2002 that Stephen Greenblatt, in his role as president of the US Modern Language Association, urged his membership to recognise what he called a ‘crisis in scholarly publication’. It is easy to forget now that this crisis, as he then saw it, had nothing to do with the rise of digital technologies, e-publishing, or open access. Indeed, it puts his words in...

International audience

Les Systèmes d'Information Scientifique (SIS) sont des Systèmes d'Information (SI) dont le but est de produire de la connaissance et non pas de gérer ou contrôler une activité de production de biens ou de services comme les SI d'entreprise. Les SIS se caractérisent par des domaines de recherche fortement collaboratifs impliquant des équipes pluridisciplinaires et le plus souvent géographiquement éloignées, ils manipulent des données aux structures très variables dans le temps qui vont au-delà de la simple hétérogénéité : nuages de points issus de scanner 3D, modèles numériques de terrain, cartographie, publications, données issues de spectromètre de masse ou de technique de thermoluminescence, données attributaires en très grand volume, etc. Ainsi, contrairement aux bases de données d'entreprise qui sont modélisées avec des structures établies par l'activité qu'elles supportent, les données scientifiques ne peuvent pas se contenter de schémas de données pré-definis puisque la structure des données évolue rapidement de concert avec l'évolution de la connaissance. La gestion de données scientifiques nécessite une architecture de SIS ayant un niveau d'extensibilité plus élevé que dans un SI d'entreprise. Afin de supporter l'extensibilité tout en contrôlant la qualité des données mais aussi l'interopérabilité, nous proposons une architecture de SIS reposant sur : - des données référentielles fortement structurées, identifiables lors de la phase d'analyse et amenées à évoluer rarement ; - des données complémentaires multi-modèles (matricielles, cartographiques, nuages de points 3D, documentaires, etc.). Pour établir les liens entre les données complémentaires et les données référentielles, nous avons utilisé un unique paradigme, l'annotation sémantique. Nous avons proposé un modèle formel d'annotation à base ontologique pour construire des annotations sémantiques dont la cohérence et la consistance peuvent être contrôlées par une ontologie et des règles. Dans ce cadre, les annotations offrent ainsi une contextualisation des données qui permet de vérifier leur cohérence, par rapport à la connaissance du domaine. Nous avons dressé les grandes lignes d'une sémantique du processus d'annotation par analogie avec la sémantique des langages de programmation. Nous avons validé notre proposition, à travers deux collaborations pluridisciplinaires : - le projet ANR CARE (Corpus Architecturae Religiosae Europeae - IV-X saec. ANR-07- CORP-011) dans le domaine de l'archéologie. Son objectif était de développer un corpus numérique de documents multimédia sur l'évolution des monuments religieux du IVe au XIe siècle (http://care.tge-adonis.fr). Un assistant d'annotation a été développé pour assurer la qualité des annotations par rapport à la connaissance représentée dans l'ontologie. Ce projet a donné lieu au développement d'une extension sémantique pour MediaWiki ; - le projet eClims dans le domaine de la protéomique clinique. eClims est un composant clinique d'un LIMS (Laboratory Information Management System) développé pour la plate-forme de protéomique CLIPP. eClims met en oeuvre un outil d'intégration basé sur le couplage entre des modèles représentant les sources et le système protéomique, et des ontologies utilisées comme médiatrices entre ces derniers. Les différents contrôles que nous mettons en place garantissent la validité des domaines de valeurs, la complétude, la consistance des données et leur cohérence. Le stockage des annotations est assuré par une Base de Données orientées colonnes associée à une Base de Données relationnelles.

Professionally edited open access online encyclopaedias enable a systemic and reliable orientation within the ever-increasing amount of data and information on the Internet. Providing access to scientifically verified information, they represent an important part of the research and didactic infrastructure. This paper demonstrates the activities of Croatia’s Miroslav Krleža Institute of Lexicography aimed at exploring the new encyclopaedic concept in the digital age. The Institute’s digital transformation is shown, which involves the digitisation and online publishing of archival editions, publishing of the permanently updated online general encyclopaedia, and the transformation of specialised encyclopedias to the encyclopaedic portals. Encyclopaedic portals could represent a new concept of encyclopaedias in the digital realm by serving as platforms for data networking and sharing, a sort of ‘junction points’ that connect diverse digital content on a specific topic. Institute’s publicly available repository of encyclopaedic knowledge enables the linking to the digital data and collections of other research and cultural institutions; therefore the collaborative projects aimed at reinforcing digital research and cultural infrastructure will be described. Thanks to the properties of the digital media and increasing connectivity, a closer collaboration Towards a New Concept of Open Access Online Encyclopaedia : A Case Study from... between professionally edited online encyclopaedias across Europe (and beyond) is enabled. This paper elaborates a range of initiatives seeking to build connections across individual European and North American national encyclopaedias, focusing on the role that Croatian encyclopaedistics plays in this endeavour.

International audience; In this paper we describe the development and evaluation of a visual analytics tool to support historical research. Historians continuously gather data related to their scholarly research from archival visits and background search. Organising and making sense of all this data can be challenging as many historians continue to rely on analog or basic digital tools. We built an integrated note-taking environment for historians which unifies a set of func-tionalities we identified as important for historical research including editing, tagging, searching, sharing and visualization. Our approach was to involve users from the initial stage of brainstorming and requirement analysis through to design, implementation and evaluation. We report on the process and results of our work, and conclude by reflecting on our own experience in conducting user-centered visual analytics design for digital humanities.

http://d-nb.info/gnd/126986010

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Despite the hype, the effective implementation of Open Science is hindered by several cultural and technical barriers. Researchers embraced digital science, use “digital laboratories” (e.g. research infrastructures, thematic services) to conduct their research and publish research data, but practices and tools are still far from achieving the expectations of transparency and reproducibility of Open Science. The places where science is performed and the places where science is published are still regarded as different realms. Publishing is still a post-experimental, tedious, manual process, too often limited to articles, in some contexts semantically linked to datasets, rarely to software, generally disregarding digital representations of experiments. In this work we present the OpenAIRE Research Community Dashboard (RCD), designed to overcome some of these barriers for a given research community, minimizing the technical efforts and without renouncing any of the community services or practices. The RCD flanks digital laboratories of research communities with scholarly communication tools for discovering and publishing interlinked scientific products such as literature, datasets, and software. The benefits of the RCD are show-cased by means of two real-case scenarios: the European Marine Science community and the European Plate Observing System (EPOS) research infrastructure. This work is partly funded by the OpenAIRE-Advance H2020 project (grant number: 777541; call: H2020-EINFRA-2017) and the OpenAIREConnect H2020 project (grant number: 731011; call: H2020-EINFRA-2016-1). Moreover, we would like to thank our colleagues Michele Manunta, Francesco Casu, and Claudio De Luca (Institute for the Electromagnetic Sensing of the Environment, CNR, Italy) for their work on the EPOS infrastructure RCD; and Stephane Pesant (University of Bremen, Germany) his work on the European Marine Science RCD. First Online 30 August 2019