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ZENODO
Project deliverable . 2023
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Project deliverable . 2023
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BY-COVID D2.2: Data Access and Transfer across research domains and jurisdictions

Authors: Cortada, Aina Jené; Gormanns, Philipp; Furlani, Andrea; Van Dam, Iris; Portell-Silva, Laura; Belien, Jeroen; David, Romain; +11 Authors

BY-COVID D2.2: Data Access and Transfer across research domains and jurisdictions

Abstract

BY-COVID Work Package (WP) 2 brings together datasets and catalogues of metadata across domains, assesses data governance and access procedures, and contributes to increase the FAIRness level of different data sources. It aims to align metadata descriptions and other semantic information, first within domains (e.g., biomolecular and imaging, clinical and health, survey, etc), and in a second stage (in alignment with WP3 developments) across domains to propose a reference catalogue with harmonised metadata descriptions, which can facilitate data access and eventually enable data mobilisation for the analysis workflows specified by WP4 . Deliverable 2.2 (D2.2) focuses on data access and transfer across research domains and jurisdictions. Originally intended to address technical, legal, and organisational barriers in data sources, its scope expanded to include all types of data that also link to pathogen variants via SARS-CoV-2 DataHubs (WP1). The objectives of D2.2 are two-fold: ensuring compliance with data privacy principles for controlled access data and proposing strategies to enhance data interoperability. Efforts included developing a survey, conducting ad-hoc meetings with key stakeholders, and aligning with the FAIR data principles. The deliverable contributes to ongoing efforts to facilitate efficient and responsible data sharing, which should enable faster and coordinated responses in future pandemics.

Keywords

BY-COVID, Beyond COVID, FAIR data, SARS-CoV-2, DataHubs, Data access, Data transfer

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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