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.
Fields of Science and Technology classification (FOS)
02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering, 020204 information systems, 05 social sciences, 0509 other social sciences, 050904 information & library sciences
Sustainable Development Goals (SDG)
2. Zero hunger, 16. Peace & justice
free text keywords: Computer Science - Digital Libraries, CENDARI infrastructure, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [ INFO.INFO-HC ] Computer Science [cs]/Human-Computer Interaction [cs.HC], [ SDV ] Life Sciences [q-bio], History, Research, Computer Graphics and Computer-Aided Design, Computer Science Applications, Information Systems, Conservation, ACM : H.: Information Systems/H.5: INFORMATION INTERFACES AND PRESENTATION (e.g., HCI)/H.5.2: User Interfaces, Data science, End user, User requirements document, Computer science, Note-taking, Comparative historical research, Software development process, Data integration, computer.software_genre, computer, Workflow, Faceted search