ReKnow · Research Knowledge Documentation, Analysis and Exploration in Empirical and Descriptive Sciences
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2020-06-01 → 2022-11-30
- EU contribution
- €165,085
- Participants
- 1
- Scheme
- MSCA-IF
Lines connect the coordinator with its partners.
Results in brief
Research Knowledge Documentation, Analysis and Exploration in Empirical and Descriptive Sciences
Researchers in the descriptive and empirical sciences, such as History, usually encounter problems related to the integration of data coming from multiple and diverse sources, the reuse of the data they produce in other contexts, the usability of the systems and tools they use for data management and exploration, and the verification and long-term validity of their scientific results. The ReKnow project aims to support researchers in better handling these problems by providing models, methodologies and tools that allow for better documentation, analysis and exploration of their research data and the knowledge they produce. This is important for the wider humanities community, but also for the society, because it promotes open, transparent and reproducible research workflows in the age of Open Science. Specifically, ReKnow has set three main objectives: (a) Design and development of workflows and semantic data models for documenting, formally representing and interconnecting research data and processes, focusing on semantic interoperability and the production of sustainable data of high value and long-term validity; (b) Development of methods, models and algorithms for supporting argumentation and reasoning processes, considering the provenance of data and the uncertainty of beliefs; (c) Design and development of user-friendly and interactive tools for supporting different research processes, including data entry, documentation, exploration, and quantitative analysis. To achieve its objectives, ReKnow has relied on two real use cases: (a) Maritime History, by exploiting data and domain knowledge from the SeaLit project (ERC, No. 714437), and (b) History of Art, by exploiting data and domain knowledge from the RICONTRANS project (ERC, No 818791). These collaborations have given to the Fellow the unique chance to work with researchers in these fields and learn how they work, what their questions are, and how they argue about their findings. The project has fully achieved its objectives by providing models, systems and tools that have been widely used in practice by a large number of humanities researchers (mainly historians) for supporting and enhancing their data management activities.
Data: CORDIS, © European Union
Project objective
Descriptive and empirical sciences, such as History, Archaeology, Biodiversity, and Cultural Heritage, are the sciences that collect, observe and describe phenomena in order to explain them and draw interpretative conclusions about their behaviour and their relationships under given circumstances. Researchers in these sciences usually encounter problems related to the integration of data coming from different sources, the epistemological adaptation and refinement of their research under specific circumstances, the usability of their data analysis methods and tools, and the transparency and reliability of their research processes and results. The ReKnow project aims to support researchers in descriptive and empirical sciences to better handle these problems by providing models, algorithms and tools that allow for better documentation, analysis and exploration of research processes and data. This will be achieved by combining i) the expertise of the host institution in cultural informatics, its strong background in conceptual modeling and argumentation theory, and its long-standing collaboration with a large number of organisations in descriptive and empirical sciences, ii) a set of training activities that will provide the principal researcher with the required disciplinary and interdisciplinary background to achieve the project objectives and which complement his current expertise in semantic web technologies, exploratory search, and data mining, and iii) the close collaboration with two History projects and a research institute dedicated to the study of the history of science, that provide requirements, use cases and data as well as the opportunity to directly apply the ReKnow results in real scenarios.
Original text from CORDIS.
Participants
- IDRYMA TECHNOLOGIAS KAI EREVNAS · IRAKLEIOCoordinatorGreece
Links
Data: CORDIS, © European Union