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The core of the UPSKILLS project is constituted by the creation of learning content dedicated to topics deemed to be of particular importance for twenty-first century students of languages and linguistics. This learning content should help students acquire the knowledge and skills needed for the contemporary job market, which offers numerous new opportunities both within and beyond traditional language-oriented professions, but which also requires skills not typically included, or at least insufficiently present in university curricula. However, UPSKILLS is not alone in wishing to bring the knowledge and skills of language and linguistics students more up-to-date with the job market, and some resources relevant for the topics it aims to address have already been created in other projects, within university curricula or in other related contexts. In order to avoid duplicating materials that have already been made available by others, the first step in the creation of UPSKILLS learning content is the present overview of existing materials.

This article examines both the choices made, as well as the data gathered during the construction of the programme for the DHN2018 conference. Through this, we shed light on 1) the general directions of DH in the Nordic countries, 2) which DH traditions are particularly well represented here and 3) the pain points and surprising interactions identified during the programme-curation process. We base our recommendations to the organisers of future conferences on this analysis. Peer reviewed

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.

If the digital humanities are to thrive they must be allowed to remain culturally dissonant. The ways in which DH is practiced will differ across national contexts, with each region having peculiarities representative of the culture-specific conditions which shaped the field as it first emerged and later developed. While scholars tend to belong and contribute to international communities of praxis, doing DH in one place might look very different to doing DH somewhere else. Disciplinary cultures are often transnational, but where scholars are trained and where they work will usually impact upon their own, individualised perspective of that discipline. This paper traces the history of the digital humanities in Ireland, providing on account of DH as it exists in a specifically Irish context. It mimics the Busa narrative, uncovering equivalent figures from Irish DH’s origin story, while detailing some of the key initiatives and institutions to have contributed to the national development of the discipline. As a small island with a close-knit academic community, culturally torn between US, British and European influences, Ireland represents an opportunity to examine DH as a national project, and how such a project might be contrasted with international norms, what it achieved, and where it has failed. Résumé Si les humanités numériques doivent prospérer, il faudra leur permettre de rester culturellement dissonantes. Les façons dont l’on pratique les HN varieront et dépendront de contextes nationaux, où chaque région a des particularités qui représentent leurs propres situations culturelles qui ont façonné le domaine à son début et ultérieurement. Tandis que les chercheurs ont tendance à contribuer et à faire partie de communautés internationales de praxis, les HN faites dans un endroit peuvent être très différentes par rapport à celles trouvées ailleurs. Les cultures disciplinaires sont souvent transnationales, mais le lieu où les chercheurs ont été formés et où ils travaillent affectent normalement leur propre perspective individualisée de la discipline en question. Cet article suit l’histoire des humanités numériques en Irlande, en fournissant un récit des HN comme elles existent dans un contexte spécifiquement irlandais. Cela imite la narrative Busa, en dévoilant des figures équivalentes de l’origine des HN en Irlande et en détaillant des initiatives et institutions clés qui ont contribué au développement national du domaine. En tant que petite île ayant une communauté académique très unie, et déchirée entre les influences américaines, britanniques et européennes, l’Irlande représente l’opportunité d’examiner les HN comme projet national, d’examiner la façon dont un tel projet peut être contrasté avec des normes internationales, ainsi que d’examiner ce qui a été achevé et ce qui a échoué. Mots-clés: Irlande; HN irlandaises; humanités numériques

The variety of specialized tools designed to facilitate analysis of audio-visual (AV) media are useful not only to media scholars and oral historians but to other researchers as well. Both Qualitative Data Analysis Software (QDAS) packages and dedicated systems created for specific disciplines, such as linguistics, can be used for this purpose. Software proliferation challenges researchers to make informed choices about which package will be most useful for their project. This paper aims to present an information science perspective of the scholarly use of tools in qualitative research of audio-visual sources. It provides a baseline of affordances based on functionalities with the goal of making the types of research tasks that they support more explicit (e.g., transcribing, segmenting, coding, linking, and commenting on data). We look closely at how these functionalities relate to each other, and at how system design influences research tasks.

Digital humanities (DH) as a research field has been developing rapidly in Finland during the past few years, mainly due to increased funding and profiling activities. Although these infrastructural developments have created (smaller and larger) centres, hubs and clusters related directly or indirectly to digital humanities, the future of Finnish research in this area depends on how the various scholarly and memory organisations, as well as individual scholars, succeed in joining forces. The overall argument in this paper is that digital humanities needs to establish its identity and to create a new space among research cultures with varying characteristics tackling a multitude of problems, and that this can only be achieved through national collaboration and the joint exploitation of the strengths of existing DH hubs. The article sets out a roadmap to this end, providing a detailed discussion of various developments in digital humanities, and analysing different possibilities in the international context. It is based on a survey conducted in 2016 among Finnish scholars in the fields of humanities and the social sciences, an analysis of existing infrastructures, and interviews with DH scholars involved with international top-level DH centres. The focus in the latter part of the article is on these interviews, and on the lessons learned abroad from which the Finnish DH community could benefit. We conclude with a strong call for collaboration to facilitate the further development of the DH field in Finland in response to international competition.

We investigated the evolution and transformation of scientific knowledge in the early modern period, analyzing more than 350 different editions of textbooks used for teaching astronomy in European universities from the late fifteenth century to mid-seventeenth century. These historical sources constitute the Sphaera Corpus. By examining different semantic relations among individual parts of each edition on record, we built a multiplex network consisting of six layers, as well as the aggregated network built from the superposition of all the layers. The network analysis reveals the emergence of five different communities. The contribution of each layer in shaping the communities and the properties of each community are studied. The most influential books in the corpus are found by calculating the average age of all the out-going and in-coming links for each book. A small group of editions is identified as a transmitter of knowledge as they bridge past knowledge to the future through a long temporal interval. Our analysis, moreover, identifies the most disruptive books. These books introduce new knowledge that is then adopted by almost all the books published afterwards until the end of the whole period of study. The historical research on the content of the identified books, as an empirical test, finally corroborates the results of all our analyses. Comment: 19 pages, 9 figures

We introduce in this paper a generic approach to combine implicit crowdsourcing and language learning in order to mass-produce language resources (LRs) for any language for which a crowd of language learners can be involved. We present the approach by explaining its core paradigm that consists in pairing specific types of LRs with specific exercises, by detailing both its strengths and challenges, and by discussing how much these challenges have been addressed at present. Accordingly, we also report on on-going proof-of-concept efforts aiming at developing the first prototypical implementation of the approach in order to correct and extend an LR called ConceptNet based on the input crowdsourced from language learners. We then present an international network called the European Network for Combining Language Learning with Crowdsourcing Techniques (enetCollect) that provides the context to accelerate the implementation of the generic approach. Finally, we exemplify how it can be used in several language learning scenarios to produce a multitude of NLP resources and how it can therefore alleviate the long-standing NLP issue of the lack of LRs. peer-reviewed

The variety of specialized tools designed to facilitate analysis of audio-visual (AV) media are useful not only to media scholars and oral historians but to other researchers as well. Both Qualitative Data Analysis Software (QDAS) packages and dedicated systems created for specific disciplines, such as linguistics, can be used for this purpose. Software proliferation challenges researchers to make informed choices about which package will be most useful for their project. This paper aims to present an information science perspective of the scholarly use of tools in qualitative research of audio-visual sources. It provides a baseline of affordances based on functionalities with the goal of making the types of research tasks that they support more explicit (e.g., transcribing, segmenting, coding, linking, and commenting on data). We look closely at how these functionalities relate to each other, and at how system design influences research tasks.