Results Digital Competence Centre initiatives 2022
Digital Competence Centres (DCCs) are taking shape. The 10 initiatives taken up by SURF in 2022 in collaboration with DCCs were recently reviewed. Including a number of interesting trajectories in the areas of virtual data assistance, Yoda, SRAM and text mining. Result: seven initiatives have now been completed.
Purpose: YVRA provides answers to frequently asked questions; advice on the right data management analysis solution; help in finding the right storage solution and provides automatic assistance in answering questions to the RDM helpdesk.
For whom: Researchers.
Benefits: Through SURFs integration and linking of (existing) tooling, YVRA fills gaps in research services.
Results: Project continues until March 2023.
Consortium: Free University, University of Groningen, Maastricht University, Amsterdam UMC and UMC Groningen.
Purpose: Enabling collaboration across institutional boundaries in the SURF Research Cloud environment.
For whom: Researchers and research supporters.
Benefits: Enabling an active cross-sector community of experts to support research teams in using SURF Research Cloud.
Results: Completed. SURF Research Cloud environment SURF has set up five analysis environments as use cases containing (standardised) plug-ins, applications and integrations: the so-called catalogue items.
Consortium: Utrecht University, TU Eindhoven and Wageningen University.
Aim: To increase findability and reusability of research software through the deployment of the Research Software Directory (RSD), a content management system of the Netherlands eScience Centre.
For whom: Scientific community focused on open source
Benefits: To eventually offer the Research Software Directory (RSD as an open source SaaS solution.
Results: Completed. Deployment of the Research Software Directory (RSD) as a content management system. On the one hand, participating institutions document their research software using the RSD; on the other hand, the eScience Centre customises the RSD.
Applicants: Amsterdam UMC, Leiden University, Utrecht University and Netherlands eScience Center.
Goal: Realisation of an open source text mining platform specifically for free medical text data.
For whom: Healthcare institutions.
Benefits: Making data structurally FAIR and retrievable opens a huge potential where data becomes suitable for both prospective and retrospective research. UMC Utrecht laid the foundation for this platform.
Results: Completed. The consortium is developing the platform further in order to deploy it scalably at other healthcare institutions.
Consortium: UMC Utrecht, Erasmus MC, Radboud UMC and UMC Groningen.
Purpose: Support the development of metadata standards in Yoda (Your Data), a proven Research Data Management environment to work FAIR with research data.
For whom: Researchers.
Benefits: Connect to communities (research communities) nationally and internationally via Yoda.
Results: Through use cases, SURF is working to implement the necessary metadata standards within four communities. This is to comply nationally and internationally with the additional requirements for making research data reusable. Postponed to second half of 2023.
Consortium: Leiden University, Utrecht University, Vrije Universiteit, Wageningen University and Erasmus University Rotterdam.
...wants to enable access to research data within its own institution for externals. Through the University of Twente's Virtual Research Environment (VRE), UT and non-UT researchers can then collaborate with each other. The pilot will test whether access to the VRE, safely and specifically, is possible via SRAM.
Result: This initiative has been discontinued.
Applicant: University of Twente
...assesses whether the anonymisation software DEDUCE, with which the Amsterdam UMC already works, can be used as standard to anonymise the many unstructured medical data present, and to make this rich source of data applicable for biomedical scientific research. The validation is part of the further development of this software.
Results: This initiative will be completed in the first quarter of 2023.
Applicant: Amsterdam UMC
...stems from Maastricht University's FAIR action plans. While the F and A have already been widely adopted, the I and R require specific knowledge. This is not always present among researchers. Specialised data experts share their knowledge and develop online study materials to close the circle for fully integrated and comprehensive Interoperability and Reusability of research data.
Result: A bootcamp week from Monday to Friday of online meetings in which practical examples and materials were shared.
Applicant: Maastricht University - University Library Maastricht
...is developing a new research environment through a use case in research on works of art and cultural heritage. In it, researchers, students and data owners can collaborate more easily and barriers to depositing and reusing unique source materials (datasets) have been lowered. How? By connecting two services of the national data ecosystem: DANS-KNAW Data Station and SURF Research Cloud.
Results: Completed: technical conditions such a system must meet have been successfully mapped, and the first steps have been taken towards a digital research environment.
Applicant: University of Amsterdam - University Library
...contributes to the realisation of a FAIR data infrastructure and container workflow for molecular multi-omics research, an emerging field in medical science. Researchers can put real content, including semantic data and metadata, into a FAIR Data Cube. A containerisation strategy creates an integration of different types of iomics data, from different sources, which can be accessed for analysis through an interface.
Result: Successful containerisation of two workflows in the FAIR Data Cube.
Applicant: Radboud UMC
More background information? Check out our Wiki pages or email karin.chavezcaballero@surf.nl