A5043753626- Research Data Management Practices
- Data Quality and Management
- Scientific Computing and Data Management
- Library Science and Information Systems
- Species Distribution and Climate Change
- Semantic Web and Ontologies
DATA4 (France)
2024
International Science Council
2024
Committee on Data of the International Science Council
2024
Brazilian Agricultural Research Corporation
2022
Universidade de São Paulo
2022
Meise Botanic Garden
2022
Universidade Estadual de Campinas (UNICAMP)
2022
University of Twente
2022
Universidade Federal de São Carlos
2022
GO FAIR Foundation
2022
Introduction Population health data integration remains a critical challenge in low- and middle-income countries (LMIC), hindering the generation of actionable insights to inform policy decision-making. This paper proposes pan-African, Findable, Accessible, Interoperable, Reusable (FAIR) research architecture infrastructure named INSPIRE datahub. cloud-based Platform-as-a-Service (PaaS) on-premises setup aims enhance discovery, integration, analysis clinical, population-based surveys, other...
Background Metadata describe and provide context for other data, playing a pivotal role in enabling findability, accessibility, interoperability, reusability (FAIR) data principles. By providing comprehensive machine-readable descriptions of digital resources, metadata empower both machines human users to seamlessly discover, access, integrate, reuse or content across diverse platforms applications. However, the limited accessibility machine-interpretability existing population health hinder...
Biodiversity is a data-intensive science and relies on data from large number of disciplines in order to build up coherent picture the extent trajectory life earth (Bowker 2000). The ability integrate such different disciplines, geographic regions scales crucial for making better decisions towards sustainable development. As Information Standards (TDWG) community tackles standards development adoption beyond its initial emphases taxonomy species distributions, expanding impact engaging wider...
<sec> <title>BACKGROUND</title> Metadata describe and provide context for other data, playing a pivotal role in enabling findability, accessibility, interoperability, reusability (FAIR) data principles. By providing comprehensive machine-readable descriptions of digital resources, metadata empower both machines human users to seamlessly discover, access, integrate, reuse or content across diverse platforms applications. However, the limited accessibility machine-interpretability existing...
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There is broad acceptance that FAIR data (Wilkinson et al. 2016) reuse desirable, with considerable interest and energy being devoted to its realization, but many questions remain on the part of prospective implementers. Fundamental explaining how best implement an overview models (and technologies support them) fit together into a coherent "FAIR ecosystem". How do Implementation Profiles (FIPs) (Schultes 2020) relate Data Points (FDPs) (Bonino da Silva Santo 2022), these concept Digital...
The Climate Neutral and Smart Cities project is part of the EOSC Future WP 6.3, exploring best approaches for sharing data within cross-domain research projects. This paper looks at implications metadata exchange in a project, as explored prototype. Cross-domain standard meeded to support collaborative teams combining mix expertise, particularly around lineage.&nbsp;