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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.

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.

Biased language commonly occurs around topics which are of controversial nature, thus, stirring disagreement between the different involved parties of a discussion. This is due to the fact that for language and its use, specifically, the understanding and use of phrases, the stances are cohesive within the particular groups. However, such cohesiveness does not hold across groups. In collaborative environments or environments where impartial language is desired (e.g. Wikipedia, news media), statements and the language therein should represent equally the involved parties and be neutrally phrased. Biased language is introduced through the presence of inflammatory words or phrases, or statements that may be incorrect or one-sided, thus violating such consensus. In this work, we focus on the specific case of phrasing bias, which may be introduced through specific inflammatory words or phrases in a statement. For this purpose, we propose an approach that relies on a recurrent neural networks in order to capture the inter-dependencies between words in a phrase that introduced bias. We perform a thorough experimental evaluation, where we show the advantages of a neural based approach over competitors that rely on word lexicons and other hand-crafted features in detecting biased language. We are able to distinguish biased statements with a precision of P=0.92, thus significantly outperforming baseline models with an improvement of over 30%. Finally, we release the largest corpus of statements annotated for biased language. Comment: The Twelfth ACM International Conference on Web Search and Data Mining, February 11--15, 2019, Melbourne, VIC, Australia

The CENDARI project committed in its original description of work to the production of a Business Plan (Deliverable 2.4), outlining a method statement for ensuring that the outputs of the CENDARI project would be available to future users. The project team decided to rename this deliverable the CENDARI “Sustainability Plan” and this document sets out the plan which is based upon a multidimensional conceptualisation of what CENDARI is and the value of its assets, as well as on the fundamental understanding of a digital project as useless if it does not ‘evolve and involve.’ This document presents not only the actions that have been and will continue to be taken by the CENDARI team, but also interrogates the topic of sustainability of research infrastructures

Iako u Zborniku dominiraju radovi koji se bave naučnicama u prošlosti, kao i njihovim radom, saznanjima, nedovoljnom afirmisanosšću njihovog rada, poteškoćama sa kojima su se suočavale, zbornik zaokružuju radovi koji se bave savremenom situacijom, tj. položajem žena u akademskoj zajednici danas i svim teškoćama koje i same akterke katkada teško detektuju i prepoznaju. Patrijarhalni mehanizmi prožimaju društvo u kome živimo na različitim nivoima, a sami principi koji vladaju u akademskom svetu – u kojima sve više važe pravila liberalnog kapitalizma i ideje o „upotrebljivosti“ nauke i merljivosti rezultata – cementiraju i prikrivaju davno odomaćen diskriminatorski odnos prema ženama i prema naučničkom glasu i diskursu koji odudara od dominantne paradigme. Stoga su neophodni neprekidni napori da se ženski glas u nauci čuje, a položaj naučnica stalno unapređuje i popravlja. Зборник радова Етнографског института САНУ 34 / Collection of Papers of Institute of Ethnography SASA 34

Digital history has spawned many great individual projects, and proven its value as both a methodology for the interrogation of sources and as a medium for the presentation and communication of research results. But the experiences of projects building research infrastructure for historical research raise the question of whether these methods can scale toward the realisation of historical ‘big data,’ or whether there are hindrances to this goal inherent in our current conceptualisation of the intersection between historical methods and computational ones. This paper discusses a number of the current barriers discovered by large-scale historical research infrastructure projects, including heterogeneous conceptions of what data is, hidden elements of data and the epistemics of humanities research. At the project level, these issues can be managed, but if digital history is to scale and grow to fit the infrastructural capability available to it, then a revisiting of some of the conceptual underpinnings of digital historical studies will be required.

International audience; One of the funded project proposals under DARIAH’s Open Humanities call 2015 was “Open History: Sustainable digital publishing of archival catalogues of twentieth-century history archives”. Based on the experiences of the Collaborative EuropeaN Digital Archival Research Infrastructure (CENDARI) and the European Holocaust Research Infrastructure (EHRI), the main goal of the “Open History” project was to enhance the dialogue between (meta-)data providers and research infrastructures. Integrating archival descriptions – when they were already available – held at a wide variety of twentieth-century history archives (from classic archives to memorial sites, libraries and private archives) into research infrastructures has proven to be a major challenge, which could not be done without some degree of limited to extensive pre-processing or other preparatory work. The “Open History” project organized two workshops and developed two tools: an easily accessible and general article on why the practice of standardization and sharing is important and how this can be achieved; and a model which provides checklists for self-analyses of archival institutions. The text that follows is the article we have developed. It intentionally remains at a general level, without much jargon, so that it can be easily read by those who are non-archivists or non-IT. Hence, we hope it will be easy to understand for both those who are describing the sources at various archives (with or without IT or archival sciences degrees), as well as decision-makers (directors and advisory boards) who wish to understand the benefits of investing in standardization and sharing of data. It is important to note is that this text is a first step, not a static, final result. Not all aspects about standardization and publication of (meta-)data are discussed, nor are updates or feedback mechanisms for annotations and comments discussed. The idea is that this text can be used in full or in part and that it will include further chapters and section updates as time goes by and as other communities begin using it. Some archives will read through much of these and see confirmation of what they have already been implementing; others – especially the smaller institutions, such as private memory institutions – will find this a low-key and hands-on introduction to help them in their efforts.

This article tackles the issue of integrating heterogeneous archival sources in one single data repository, namely the European Holocaust Research Infrastructure (EHRI) portal, whose aim is to support Holocaust research by providing online access to information about dispersed sources relating to the Holocaust (http://portal.ehri-project.eu). In this case, the problem at hand is to combine data coming from a network of archives in order to create an interoperable data space which can be used to search for, retrieve and disseminate content in the context of archival-based research. The scholarly purpose has specific consequences on our task. It assumes that the information made available to the researcher is as close as possible to the originating source in order to guarantee that the ensuing analysis can be deemed reliable. In the EHRI network of archives, as already observed in the case of the EU Cendari project, one cannot but face heterogeneity. The EHRI portal brings together descriptions from more than 1900 institutions. Each archive comes with a whole range of idiosyncrasies corresponding to the way it has been set up and evolved over time. Cataloging practices may also differ. Even the degree of digitization may range from the absence of a digital catalogue to the provision of a full-fledged online catalogue with all the necessary APIs for anyone to query and extract content. There is indeed a contrast here with the global endeavour at the international level to develop and promote standards for the description of archival content as a whole. Nonetheless, in a project like EHRI, standards should play a central role. They are necessary for many tasks related to the integration and exploitation of the aggregated content, namely: ● Being able to compare the content of the various sources, thus being able to develop quality-checking processes; ● Defining of an integrated repository infrastructure where the content of the various archival sources can be reliably hosted; ● Querying and re-using content in a seamless way; ● Deploying tools that have been developed independently of the specificities of the information sources, for instance in order to visualise or mine the resulting pool of information. The central aspect of the work described in this paper is the assessment of the role of the EAD (Encoded Archival Description) standard as the basis for achieving the tasks described above. We have worked out how we could develop a real strategy of defining specific customization of EAD that could be used at various stages of the process of integrating heterogeneous sources. While doing so, we have developed a methodology based on a specification and customization method inspired from the extensive experience of the Text Encoding Initiative (TEI) community. In the TEI framework, as we show in section 1, one has the possibility to model specific subsets or extensions of the TEI guidelines while maintaining both the technical (XML schemas) and editorial (documentation) content within a single framework. This work has led us quite far in anticipating that the method we have developed may be of a wider interest within similar environments, but also, as we believe, for the future maintenance of the EAD standard. Finally this work, successfully tested and implemented in the framework of EHRI [Riondet 2017], can be seen as part of the wider endeavour of European research infrastructures in the humanities such as CLARIN and DARIAH to provide support for researchers to integrate the use of standards in their scholarly practices. This is the reason why the general workflow studied here has been introduced as a use case in the umbrella infrastructure project PARTHENOS which aims, among other things, at disseminating information and resources about methodological and technical standards in the humanities.