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Open Science and language data: Expectations vs. reality. The role of research data infrastructures
(2023)
Language data are essential for any scientific endeavor. However, unlike numerical data, language data are often protected by copyright, as they easily meet the threshold of originality. The role of research infrastructures (such CLARIN, DARIAH, and Text+) is to bridge the gap between uses allowed by statutory exceptions and the requirements of Open Science. This is achieved on the one hand by sharing language data produced by research organisations with the widest possible circle of persons, and on the other by mutualizing efforts towards copyright clearance and appropriate licensing of datasets.
L’article intitulé «Traitement de l’information: Spinfo, HKI et humanités numériques - l’expérience de Cologne» présente l’histoire du développement des humanités numériques au sein de l’Université de Cologne. L'institutionnalisation des humanités numériques a commencé encore à l’époque où dans le monde germanophone le périmètre de la discipline était en train d’être défini par les travaux de quelques pionniers. Parmi eux, il convient de souligner le rôle d’Elisabeth Burr, active notamment à Tubingue, Duisbourg, Brême et Leipzig.L’article retrace le développement des humanités numériques à Cologne à partir de leurs débuts dans les années soixante du 20ème siècle, en passant par leur consolidation dans les années quatre-vingt-dix, jusqu’aux deux dernières décennies, quand Cologne est devenu un centre important de cette discipline. Le processus illustre comment une nouvelle discipline scientifique peut s’institutionnaliser au sein d’une université allemande. L’article décrit la perspective de deux domaines fondateurs: le traitement linguistique de l’information (en allemand: Sprachliche Informationsverarbeitung, Spinfo) et le traitement historico-culturel de l’information (en allemand: Historisch Kulturwissenschaftliche Informationsverarbeitung, HKI) et leur synthèse, qui a abouti en 2017 à la création de l’Institut des Humanités Numériques (Digital Humanities), qui aujourd’hui est - du point de vue interne - une composante de la Faculté de Philosophie de l’Université de Cologne et - du point de vue externe - une partie intégrante de la communauté internationale des humanités numériques.
The Leibniz-Institute for the German Language (IDS) was established in Mannheim in 1964. Since then, it has been at the forefront of innovation in German linguistics as a hub for digital language data. This chapter presents various lessons learnt from over five decades of work by the IDS, ranging from the importance of sustainability, through its strong technical base and FAIR principles, to the IDS’ role in national and international cooperation projects and its expertise on legal and ethical issues related to language resources and language technology.
Preface
(2022)
CLARIN stands for “Common Language Resources and Technology Infrastructure”. In 2012 CLARIN ERIC was established as a legal entity with the mission to create and maintain a digital infrastructure to support the sharing, use, and sustainability of language data (in written, spoken, or multimodal form) available through repositories from all over Europe, in support of research in the humanities and social sciences and beyond. Since 2016 CLARIN has had the status of Landmark research infrastructure and currently it provides easy and sustainable access to digital language data and also offers advanced tools to discover, explore, exploit, annotate, analyse, or combine such datasets, wherever they are located. This is enabled through a networked federation of centres: language data repositories, service centres, and knowledge centres with single sign-on access for all members of the academic community in all participating countries. In addition, CLARIN offers open access facilities for other interested communities of use, both inside and outside of academia. Tools and data from different centres are interoperable, so that data collections can be combined and tools from different sources can be chained to perform operations at different levels of complexity. The strategic agenda adopted by CLARIN and the activities undertaken are rooted in a strong commitment to the Open Science paradigm and the FAIR data principles. This also enables CLARIN to express its added value for the European Research Area and to act as a key driver of innovation and contributor to the increasing number of industry programmes running on data-driven processes and the digitalization of society at large.
Ethical issues in Language Resources and Language Technology are often invoked, but rarely discussed. This is at least partly because little work has been done to systematize ethical issues and principles applicable in the fields of Language Resources and Language Technology. This paper provides an overview of ethical issues that arise at different stages of Language Resources and Language Technology development, from the conception phase through the construction phase to the use phase. Based on this overview, the authors propose a tentative taxonomy of ethical issues in Language Resources and Language Technology, built around five principles: Privacy, Property, Equality, Transparency and Freedom. The authors hope that this tentative taxonomy will facilitate ethical assessment of projects in the field of Language Resources and Language Technology, and structure the discussion on ethical issues in this domain, which may eventually lead to the adoption of a universally accepted Code of Ethics of the Language Resources and Language Technology community.
This abstract discusses the possibility to adopt a CLARIN Data Protection Code of Conduct pursuant art. 40 of the General Data Protection Regulation. Such a code of conduct would have important benefits for the entire language research community. The final section of this abstract proposes a roadmap to the CLARIN Data Protection Code of Conduct, listing various stages of its drafting and approval procedures.
The European digital research infrastructure CLARIN (Common Language Resources and Technology Infrastructure) is building a Knowledge Sharing Infrastructure (KSI) to ensure that existing knowledge and expertise is easily available both for the CLARIN community and for the humanities research communities for which CLARIN is being developed. Within the Knowledge Sharing Infrastructure, so called Knowledge Centres comprise one or more physical institutions with particular expertise in certain areas and are committed to providing their expertise in the form of reliable knowledge-sharing services. In this paper, we present the ninth K Centre – the CLARIN Knowledge Centre for Linguistic Diversity and Language Documentation (CKLD) – and the expertise and services provided by the member institutions at the Universities of London (ELAR/SWLI), Cologne (DCH/IfDH/IfL) and Hamburg (HZSK/INEL). The centre offers information on current best practices, available resources and tools, and gives advice on technological and methodological matters for researchers working within relevant fields.
The Meta-data-Database of a Next Generation Sustainability Web-Platform for Language Resources
(2008)
Our goal is to provide a web-based platform for the long-term preservation and distribution of a heterogeneous collection of linguistic resources. We discuss the corpus preprocessing and normalisation phase that results in sets of multi-rooted trees. At the same time we transform the original metadata records, just like the corpora annotated using different annotation approaches and exhibiting different levels of granularity, into the all-encompassing and highly flexible format eTEI for which we present editing and parsing tools. We also discuss the architecture of the sustainability platform. Its primary components are an XML database that contains corpus and metadata files and an SQL database that contains user accounts and access control lists. A staging area, whose structure, contents, and consistency can be checked using tools, is used to make sure that new resources about to be imported into the platform have the correct structure.