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The CENDARI Infrastructure
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.
Microsoft Academic Graph classification: User requirements document Software development process Data science Faceted search Computer science End user Comparative historical research Data integration computer.software_genre computer Note-taking Workflow
CENDARI infrastructure, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], History, Research, Computer Science - Digital Libraries, Computer Graphics and Computer-Aided Design, Computer Science Applications, Information Systems, Conservation, Digital Libraries (cs.DL), FOS: Computer and information sciences
CENDARI infrastructure, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], History, Research, Computer Science - Digital Libraries, Computer Graphics and Computer-Aided Design, Computer Science Applications, Information Systems, Conservation, Digital Libraries (cs.DL), FOS: Computer and information sciences
Microsoft Academic Graph classification: User requirements document Software development process Data science Faceted search Computer science End user Comparative historical research Data integration computer.software_genre computer Note-taking Workflow
- Inserm France
- King's College London United Kingdom
- French Institute for Research in Computer Science and Automation France
- UNIVERSITE PARIS DESCARTES France
- Serbian Academy of Sciences and Arts Serbia
- Inserm France
- King's College London United Kingdom
- French Institute for Research in Computer Science and Automation France
- UNIVERSITE PARIS DESCARTES France
- Serbian Academy of Sciences and Arts Serbia
- University of Belgrade Serbia
- Institut Pasteur France
- University of Marne la Vallée France
- Commissariat à l’énergie atomique et aux énergies alternatives France
- University of Bern Switzerland
- Université Paris Diderot France
- University of Göttingen Germany
- Kings College London, University of London United Kingdom
- Max Planck Society Germany
- French National Institute for Agricultural Research France
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.