A5007615450- Research Data Management Practices
- Scientific Computing and Data Management
- Academic Publishing and Open Access
- Data Quality and Management
- Semantic Web and Ontologies
- Geochemistry and Geologic Mapping
- Big Data Technologies and Applications
- Image Processing and 3D Reconstruction
- Education Methods and Technologies
- Competency Development and Evaluation
- Innovation, Technology, and Society
- Distributed and Parallel Computing Systems
- European Monetary and Fiscal Policies
- Matrix Theory and Algorithms
- Higher Education Learning Practices
- Conservation Techniques and Studies
- Education Systems and Policy
- International Development and Aid
- Social and Demographic Issues in Germany
- Data Analysis and Archiving
- Teacher Education and Leadership Studies
- Simulation Techniques and Applications
- Digital and Traditional Archives Management
- Automated Road and Building Extraction
- Urban and spatial planning
Data Archiving Networked Services (DANS)
2020-2022
Funders and policy makers have strongly recommended the uptake of FAIR principles in scientific data management. Several initiatives are working on implementation standardized applications to systematically evaluate FAIRness. This paper presents practical solutions, namely metrics tools, developed by FAIRsFAIR project pilot assessment research objects trustworthy repositories. The mainly built indicators RDA Data Maturity Model Working Group. tools' design evaluation followed an iterative...
This report is a milestone of the FAIRsFAIR project. It includes two main results on FAIR assessment at dataset level: The Data Object Assessment Metrics (v0.3) specification contains 15 metrics proposed by to evaluate FAIRness research data objects in Trustworthy Digital Repositories (TDRs). We improved based focus group's feedback and RDA-endorsed maturity model guidelines specification. A total 33 stakeholders, such as communities, service providers, standard bodies, coordination fora...
European Commission. The report is a deliverable of EOSC-synergy project (INFRAEOSC-05(b)), Grant agreement ID: 857647.
Aligning the CoreTrustSeal Requirements with an assessment of repositories' ability to enable FAIR data is important part delivering EOSC. Trustworthy Digital Repositories (TDR) which are a dependency for many components modern, open, distributed research. This paper sets work within wider context infrastructures, describes co-dependencies between (meta) objects and their repository environment, presents developing mapping requirements principles. The evolving capability/maturity approach...
This document represents the third alignment of CoreTrustSeal to FAIR requirements inform repositories seeking enable data. Further context is presented in FAIRsFAIR project milestone: https://doi.org/10.5281/zenodo.4003598.