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John Unsworth (2000) proposed a tentative list of scholarly primitives, and although he made a reservation that it was not meant to be exhaustive, one omission is striking, namely the exclusion of communicating. It is even more visible once one realises that all the examples he provides in the paper of comparison IBabble), linking (Blake Archive), or sampling (VRML visualisation of Dante’s Inferno) have the indispensable communication component attached to them. The aim of this presentation is two-fold. First of all, we will reclaim the role of communication as one of the fundamental functional primitives, crucial in all stages of the research workflow. To use Unsworth’s nomenclature, communication takes advantage of the additive characteristics of scholarly primitives and enters into combinations with all other scholarly primitives. Secondly, right after reestablishing the communication as a scholarly primitive we will swiftly proceed to problematise the notion of its universality for all disciplines through exploration of the specificity of scholarly communication in the humanities. We will achieve that using New Panorama of Polish Literature (NPLP.pl) as a case-study, outlining the relevant digital infrastructure for the humanities. It has long been suggested that communication should be seen as a fundamental element of the research workflow, rather than an activity running somewhat separate to the research practice (Latour and Woolgar 1986; Garvey 1979; Galison and Galison 1997; Nielsen 2011). Recently this idea wass reinforced by Hillyer et al. (2017) who describe open science as “opening of the entire research cycle” and include communication as one of its key elements. It means that dissemination is no longer perceived as the final stage of a research process but becomes an integral part of all scholarly activities. New digital methods and tools (Dallas et al. 2017), including electronic communication and social media (Kjellberg 2010), facilitate this process. allowing scholars to communicate and collaborate with each other and the wider audience quickly and efficiently at all stages of their work. This also includes intermediary results of the work, including raw and secondary data (Castelli, Manghi, and Thanos 2013). The incorporation of communication into all stages of the research workflow also means that choosing a certain communication strategy is obviously influenced by the perceived goal, but also the goal influences other phases of the research process. This feedback loop more precisely on the example of NPLP, a research infrastructure for literary scholars enabling the creation of extended, multimedia monographs and presenting scholarly arguments through linking text with image, visualisation, map and video content. Yet, Creating a new digital collection forces researchers to rethink how their work is presented, categorised and displayed . For instance in "Postmodern Sienkiewicz" collection (http://nplp.pl/en/kolekcja/postmodern-sienkiewicz/) authors divided their articles into shorter fragments with additional iconography allowing for non-linear reading and access through image-interface. These activities required additional work on the stage of data collection, analysis and interpretation. In conclusion we will tackle upon the question remains to what extent such communication practices are universal for all sciences and what could be treated as reserved for the humanities in the spirit of Diltheyan disctinction between explaining (in sciences) and understanding (in the humanities). {"references": ["Castelli, D., P. Manghi, and C. Thanos. 2013. 'A Vision towards Scientific Communication Infrastructures: On Bridging the Realms of Research Digital Libraries and Scientific Data Centers'. International Journal on Digital Libraries 13 (3\u20134): 155\u201369. https://doi.org/10.1007/s00799-013-0106-7.", "Dallas, Costis, Nephelie Chatzidiakou, Agiatis Benardou, Michael Bender, Aur\u00e9lien Berra, Claire Clivaz, John Cunningham, et al. 2017. 'European Survey on Scholarly Practices and Digital Needs in the Arts and Humanities - Highlights Report'. Zenodo. https://doi.org/10.5281/zenodo.260101.", "Galison, Peter, and Joseph Pellegrino University Professor Peter Galison. 1997. Image and Logic: A Material Culture of Microphysics. University of Chicago Press.", "Garvey, WILLIAM D. 1979. 'CHAPTER 1 - The Role of Scientific Communication in the Conduct of Research and the Creation of Scientific Knowledge'. In Communication: The Essence of Science, edited by WILLIAM D. Garvey, 1\u201339. Pergamon. https://doi.org/10.1016/B978-0-08-023344-4.50006-4.", "Hillyer, Rebecca, Alejandro Posada, Denisse Albornoz, Leslie Chan, and Angela Okune. 2017. 'Framing a Situated and Inclusive Open Science: Emerging Lessons from the Open and Collaborative Science in Development Network'. 2017.", "Kjellberg, Sara. 2010. 'I Am a Blogging Researcher: Motivations for Blogging in a Scholarly Context'. First Monday 15 (8). https://doi.org/10.5210/fm.v15i8.2962.", "Latour, Bruno, and Steve Woolgar. 1986. Laboratory Life: The Construction of Scientific Facts. Princeton University Press.", "Nielsen, Michael A. 2011. Reinventing Discovery\u202f: The New Era of Networked Science. Princeton, N.J.: Princeton University Press. http://press.princeton.edu/titles/9517.html.", "Unsworth, John. 2000. 'Scholarly Primitives: What Methods Do Humanities Researchers Have in Common, and How Might Our Tools Reflect This?' In . King's College London. http://people.brandeis.edu/~unsworth/Kings.5-00/primitives.html."]}

Obtaining high-quality labelled data for training a classifier in a new application domain is often costly. Transfer Learning (a.k.a. “Inductive Transfer”) tries to alleviate these costs by transferring, to the “target” domain of interest, knowledge available from a different “source” domain. In transfer learning the lack of labelled information from the target domain is compensated by the availability at training time of a set of unlabelled examples from the target distribution. Transductive Transfer Learning denotes the transfer learning setting in which the only set of target documents that we are interested in classifying is known and available at training time. Although this definition is indeed in line with Vapnik’s original definition of “transduction”, current terminology in the field is confused. In this article, we discuss how the term “transduction” has been misused in the transfer learning literature, and propose a clarification consistent with the original characterization of this term given by Vapnik. We go on to observe that the above terminology misuse has brought about misleading experimental comparisons, with inductive transfer learning methods that have been incorrectly compared with transductive transfer learning methods. We then, give empirical evidence that the difference in performance between the inductive version and the transductive version of a transfer learning method can indeed be statistically significant (i.e., that knowing at training time the only data one needs to classify indeed gives an advantage). Our clarification allows a reassessment of the field, and of the relative merits of the major, state-of-the-art algorithms for transfer learning in text classification.

Discusses thew relations and dependencies between CoreTrustCertification and FAIR data objects principles.

Research e-infrastructures, digital archives, and data services have become important pillars of scientific enterprise that in recent decades have become ever more collaborative, distributed, and data intensive. The archaeological research community has been an early adopter of digital tools for data acquisition, organization, analysis, and presentation of research results of individual projects. However, the provision of e-infrastructure and services for data sharing, discovery, access, and (re) use have lagged behind. This situation is being addressed by ARIADNE, the Advanced Research Infrastructure for Archaeological Dataset Networking in Europe. This EU-funded network has developed an e-infrastructure that enables data providers to register and provide access to their resources (datasets, collections) through the ARIADNE data portal, facilitating discovery, access, and other services across the integrated..

International audience; DARIAH, the digital humanities infrastructure with origins and an organisational home in Europe, is nearing the completion of its implementation phase. The significant investment from the European Commission and member countries has yielded a robust set of technical and social infrastructures, ranging from working groups, various registries, pedagogical materials, and software to support diverse approaches to digital humanities scholarship. While the funding and leadership of DARIAH to date has come from countries in, or contiguous with, Europe, the needs that drive its technical and social development are widely shared within the international digital humanities community beyond Europe. Scholars on every continent would benefit from well-supported technical tools and platforms, directories for facilitating access to information and resources, and support for working groups.The DARIAH Beyond Europe workshop series, organised and financed under the umbrella of the DESIR project (“DARIAH ERIC Sustainability Refined,” 2017–2019, funded by the European Union’s Horizon 2020 Research and Innovation Program), convened three meetings between September 2018 and March 2019 in the United States and Australia. These workshops served as fora for cross-cultural exchange, and introduced many non-European DH scholars to DARIAH; each of the workshops included a significant delegation from various DARIAH bodies, together with a larger number of local presenters and participants. The local contexts for these workshops were significantly different in their embodiment of research infrastructures: on the one hand, in the U.S., a private research university (Stanford) and the de facto national library (the Library of Congress), both in a country with a history of unsuccessful national-scale infrastructure efforts; and in Australia, a system which has invested substantially more in coordinated national research infrastructure in science and technology, but very little on a national scale in the humanities and arts. Europe is in many respects ahead of both host countries in terms of its research infrastructure ecosystem both at the national and pan-European levels.The Stanford workshop had four main topics of focus: corpus management; text and image analysis; geohumanities; and music, theatre, and sound studies. As the first of the workshops, the Stanford group also took the lead in proposing next steps toward exploring actionable “DARIAH beyond Europe” initiatives, including the beginnings of a blog shared among participants from all the workshops, extra-European use of DARIAH’s DH Course Registry, and non-European participation in DARIAH Working Groups.The overall theme of the Library of Congress workshop was “Collections as Data,” building on a number of U.S.-based initiatives exploring how to enhance researcher engagement with digital collections through computationally-driven research. In Washington, D.C., the knowledge exchange sessions focussed on digitised newspapers and text analysis, infrastructural challenges for public humanities, and the use of web-archives in DH research. As at Stanford, interconnecting with DARIAH Working Groups was of core interest to participants, and a new Working Group was proposed to explore global access and use of digitised historical newspapers. A further important outcome was the agreement to explore collaboration between the U.S.-based “Collections as Data” initiatives and the Heritage Data Reuse Charter in Europe. The third and final workshop in the series took place in March 2019 in Australia, hosted by the National Library of Australia in Canberra. Convened by the Australian Academy of the Humanities (AAH), together with the Australian Research Data Commons (ARDC) and DARIAH, this event was co-located with the Academy’s second annual Humanities, Arts and Culture Data Summit. The first day of the event, targeted at research leadership and policy makers, was intended to explore new horizons for data-driven humanities and arts research, digital cultural collections and research infrastructure. The two subsequent days focused on engaging with a wide variety of communities, including (digital) humanities researchers and cultural heritage professionals. Organised around a series of Knowledge Exchange Sessions, combined with research-led lightning talks, the participants spoke in detail about how big ideas can be implemented practically on the ground. This poster reflects on the key outcomes and future directions arising from these three workshops, and considers what it might look like for DARIAH to be adopted as a fundamental DH infrastructure in a complex variety of international, national, and regional contexts, with diverse funding models, resources, needs, and expectations. One major outcome of all workshops was the shared recognition that, in spite of extensive funding, planning, and goodwill, these workshops were not nearly global enough in their reach: most importantly they were not inclusive of the Global South. Our new DARIAH beyond Europe community has a strong shared commitment to address this gap.

The European Holocaust Research Infrastructure (EHRI) portal website aims to aggregate digitally available archival descriptions concerning the Holocaust. This portal is actually a meta-catalogue, or an information aggregator, whose biggest goal is to have up-to-date information by means of building sustainable data pipelines between EHRI and its content providers. Just like in similar archival information aggregators (e.g. Archives Portal Europe or Monasterium), the XML-based metadata standard Encoded Archival Description (EAD) plays a key role. The article presents how EADs are imported into the portal, mainly thanks to the Open Archive Initiative protocols.

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. International audience

D-Net Software Toolikt The D-NET Software Toolkit is a system that offers functionalities for the collection (“harvesting”), transformation, aggregation, and indexing of metadata records collected from an arbitrary number of data sources, complying with different protocols and data exchange formats. D-NET sets a workflow language, which developers can use to combine a variety of D-NET data management services, configure them to handle data according to given data models, and pipeline them into autonomic data processing workflows. This software package is a simplified version of the D-Net toolkit and consists of a web application with a minimal set of services for: Collection of metadata records in oai_dc format via OAI-PMH, FTP, local file system, HTTP. Transformation of the collected metadata records into an internal format named DMF (Driver Metadata Format) Indexing of DMF records in a Solr full-text index OAI-PMH export of aggregated metadata records in DMF and oai_dc formats. More formats can be added at runtime by providing a dedicated XSLT from DMF to the desired target format. Major changes in version 1.3.0 OAI Publisher: fixed cache management fixed oai consistency (post feed) workflow branch fixed deletion of content when workflow of data sources are deleted D-Net enabling services: using cache for subscription access support only one subscription registry Mongo based services (mdstore, oaistore, wf logging): using API of mongo-java-driver 3.2.2, removed usage of deprecated methods tracking the number of stored records to possibly highlight the collection of records with the same identifier GUI: enabling deletion of APIs via GUI enabling editing of metadata_identifier_path more info available in the datasource section removed map of data sources (TODO: adapt to the new google map API) Metadata collection: handling HTML illegal entities in collected XMLs Indexing: default query operator for "bag of words" queries set to AND instead of OR Workflow manager do not launch workflows that were scheduled for execution during a pause of the aggregation system ("prepare for shutdown") Official Web Site: http://www.d-net.research-infrastructures.eu Need support? Contact us via email on dnet-team[at]isti.cnr.it