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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.

More and more cultural institutions use Linked Data principles to share and connect their collection metadata. In the archival field, initiatives emerge to exploit data contained in archival descriptions and adapt encoding standards to the semantic web. In this context, online authority files can be used to enrich metadata. However, relying on a decentralized network of knowledge bases such as Wikidata, DBpedia or even Viaf has its own difficulties. This paper aims to offer a critical view of these linked authority files by adopting a close-reading approach. Through a practical case study, we intend to identify and illustrate the possibilities and limits of RDF triples compared to institutions' less structured metadata. Comment: Workshop "Dariah "Trust and Understanding: the value of metadata in a digitally joined-up world" (14/05/2018, Brussels), preprint of the submission to the journal "Archives et Biblioth\`eques de Belgique"

Submission for Journal of the Text Encoding Initiative - Issue 14; The TEI Guidelines are developed and curated by a community whose main purpose is to standardize the encoding of primary sources relevant for Humanities research and teaching. But there are other communities working with TEI-based publication formats. The first goal of this paper is to raise awareness for the importance of TEI-based scholarly publishing as we know it today. The second goal is to contribute to a reflection on the development of a TEI customization that would cover the whole authoring-reviewing-publishing workflow and guarantee archiving options as solid for journal publications as we now have them for primary sources published in TEI.

A defining feature of data and data workflows in the arts and humanities domain is their dependence on cultural heritage sources hosted and curated in museums, libraries, galleries and archives. A major difficulty when scholars interact with heritage data is that the nature of the cooperation between researchers and Cultural Heritage Institutions and the researchers working in CHIs (henceforth CHIs) is often constrained by structural and legal challenges but even more by uncertainties as to the expectations of both parties.This recognition led several European organizations such as APEF, CLARIN, Europeana, E-RIHS to come together and join forces under the governance of DARIAH to set up principles and mechanisms for improving the conditions for the use and re-use of cultural heritage data issued by cultural heritage institutions and studied and enriched by researchers. As a first step of this joint effort is the Heritage Data Reuse Charter (https://datacharter.hypotheses.org/) establishes 6 basic principles for improving the use and re-use of cultural heritage resources by researchers and , to help all the relevant actors to work together to connect and improve access to heritage data. These are: Reciprocity, Interoperability, Citability, Openness, Stewardship and Trustworthiness.As a further step in translating these principles to actual data workflows the survey below serves as a template to frame exchanges around cultural heritage data by enabling both Cultural Heritage Institutions, infrastructure providers and researchers and to clarify their goals at the beginning and the project, to specify access to data, provenance information, preferred citation standards, hosting responsibilities etc. on the basis of which the parties can arrive at mutual reuse agreements that could serve as a starting point for a FAIR-by-construction data management, right from the project planning/application phase. In practice, the survey below can be flexibly applied in platform-independent ways in exchange protocols between Cultural Heritage Institutions and researchers, Institutions who sign the Charter could use it (and expect to use such surveys) in their own exchange protocols. Another direction of future developments is to set up a platform dedicated to such exchanges. On the other hand, researchers are encouraged to contact the CHIs during the initial stages of their project in order to explain their plans and figure details of transaction together. This mutual declaration can later be a powerful component in their Data Management Plans as it shows evidence for responsible and fair conduct of cultural heritage data, and fair (but also FAIR) research data management practices that are based on partnership with the holding institution. As enclosing a Research Data Management Plan to grant applications is becoming a more and more common requirement among research funders, we need to raise the funders’ awareness to the fact that such bi- or trilateral agreements and data reuse declarations among researchers, CHIs and infrastructure providers are crucial domain-specific components of FAIR data management.

International audience; The CENDARI infrastructure is a research-supporting platform designed to provide tools for transnational historical research, focusing on two topics: medieval culture and World War I. It exposes to the end users modern Web-based tools relying on a sophisticated infrastructure to collect, enrich, annotate, and search through large document corpora. Supporting researchers in their daily work is a novel concern for infrastructures. We describe how we gathered requirements through multiple methods to understand historians' needs and derive an abstract workflow to support them. We then outline the tools that we have built, tying their technical descriptions to the user requirements. The main tools are the note-taking environment and its faceted search capabilities; the data integration platform including the Data API, supporting semantic enrichment through entity recognition; and the environment supporting the software development processes throughout the project to keep both technical partners and researchers in the loop. The outcomes are technical together with new resources developed and gathered, and the research workflow that has been described and documented.

There is a growing need to establish domain-or discipline-specific approaches to research data sharing workflows. A defining feature of data and data workflows in the arts and humanities domain is their dependence on cultural heritage sources hosted and curated in museums, libraries, galleries and archives. A major difficulty when scholars interact with heritage data is that the nature of the cooperation between researchers and Cultural Heritage Institutions (henceforth CHIs) is often constrained by structural and legal challenges but even more by uncertainties as to the expectations of both parties. The Heritage Data Reuse Charter aims to address these by designing a common environment that will enable all the relevant actors to work together to connect and improve access to heritage data and make transactions related to the scholarly use of cultural heritage data more visible and transparent. As a first step, a wide range of stakeholders on the Cultural Heritage and research sector agreed upon a set of generic principles, summarized in the Mission Statement of the Charter, that can serve as a baseline governing the interactions between CHIs, researchers and data centres. This was followed by a long and thorough validation process related to these principles through surveys 1 and workshops 2. As a second step, we now put forward a questionnaire template tool that helps researchers and CHIs to translate the 6 core principles into specific research project settings. It contains questions about access to data, provenance information, preferred citation standards, hosting responsibilities etc. on the basis of which the parties can arrive at mutual reuse agreements that could serve as a starting point for a FAIR-by-construction data management, right from the project planning/application phase. The questionnaire template and the resulting mutual agreements can be flexibly applied to projects of different scale and in platform-independent ways. Institutions can embed them into their own exchange protocols while researchers can add them to their Data Management Plans. As such, they can show evidence for responsible and fair conduct of cultural heritage data, and fair (but also FAIR) research data management practices that are based on partnership with the holding institution.

This article presents a study of the French-speaking digital humanities. It is based on the experience of two research engineers from the French National Center for Scientific Research (CNRS) who have been studying these issues for the last ten years. They conducted a survey at the École Normale Supérieure (ENS-Paris) which enabled them to draw up an overview of the transformation of the profession of humanities and social sciences research engineers in the context of the digital humanities. The Digit_Hum initiative, which they run in parallel with their respective activities at the ENS, also provided information for this overview thanks to its role as a space for discussion about the digital humanities along with training and structuring of this field at the ENS and the Université Paris Sciences & Lettres (PSL). Cet article est une réflexion sur les humanités numériques en contexte francophone. Elle s’appuie sur l'expérience de deux ingénieures du Centre National de la Recherche Scientifique travaillant sur ces questions depuis une dizaine d'années. À travers l'enquête qu'elles ont menée à l'École normale supérieure (ENS-Paris), elles dressent un panorama de la transformation du métier d'ingénieur(e) en sciences humaines et sociales dans le contexte des humanités numériques. L'initiative Digit_Hum, qu'elles animent en parallèle de leurs activités respectives à l'École, nourrit également ce témoignage en constituant un espace de discussions, de formations et de structuration des humanités numériques au sein de l'ENS et de l’Université Paris Sciences & Lettres.

In recent years, FAIR principles have come a long way to serve the global need for generic guidelines governing data management and stewardship. Considering their wide embrace and the support received from governments, policy-makers, governing bodies and funding bodies, FAIR principles have all the potential to have a huge impact on the future landscape of knowledge creation for the better. This opportunity, however, may easily be missed if the specific dynamics of scientific production are not addressed in its disciplinary implementation plans. With the goal of making FAIR meaningful and helping to realise its promises in an arts and humanities context, this paper describes some of the defining aspects underlying the domain-specific epistemic processes that pose hidden or visible challenges in the FAIRification of knowledge creation in Arts and Humanities. By applying the FAIR data guiding principles to arts and humanities data curation workflows, we will show that contrary to their general scope and deliberately domain-independent nature, they have been implicitly designed along underlying assumptions about how knowledge creation operates and communicates. These are: 1. scholarly data or metadata is digital by nature, 2. scholarly data is always created and therefore owned by researchers, and 3. there is a wide community-level agreement on what can be considered scholarly data. The problems around such assumptions in arts and humanities are cornerstones in reconciling disciplinary traditions with the productive implementation of FAIR data management. By addressing them one by one, we aim to contribute to the better understanding of discipline-specific needs and challenges in data production, discovery and reuse. Based on these considerations, we make recommendations that may facilitate the inclusive and optimal implementation of the high-level principles that serve the flourishing of the arts and humanities disciplines rather than imposing limitations on its epistemic practices.

AbstractHow can researchers identify suitable research data repositories for the deposit of their research data? Which repository matches best the technical and legal requirements of a specific research project? For this end and with a humanities perspective the Data Deposit Recommendation Service (DDRS) has been developed as a prototype. It not only serves as a functional service for selecting humanities research data repositories but it is particularly a technical demonstrator illustrating the potential of re-using an already existing infrastructure - in this case re3data - and the feasibility to set up this kind of service for other research disciplines. The documentation and the code of this project can be found in the DARIAH GitHub repository: https://dariah-eric.github.io/ddrs/.