On Repositories - Cornerstones of Open Science - and how OSCARS and the Science Clusters contribute to them

In the context of Open Science, repositories are digital platforms for the short and/or long-term storage, management, and/or sharing of research data, publications and other scholarly materials. They serve multiple purposes, such as long-term preservation, computation, archiving, and dissemination. They support FAIR principles by providing metadata, persistent identifiers, and access controls, which are crucial to make research findable, accessible, and reusable. Trusted repositories also promote transparency, reproducibility, and societal impact, as shown during the COVID-19 pandemic and challenges around data sharing and data mobilisation. The five Science Clusters - ENVRI, ESCAPE, LS-RI, PaNOSC, and SSHOC - have each developed complementary repository strategies, from federated data lakes, to domain-specific workflows and metadata standards. Through OSCARS, these efforts are being consolidated into interoperable, FAIR-aligned infrastructures that strengthen cross-disciplinary collaboration in the European Open Science Cloud (EOSC). OSCARS also encourages repository development, training, and certification to increase data sharing and Open Sciences, while ensuring that its funded projects deposit their outputs in trusted open access repositories.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-01
DOI
https://doi.org/10.5281/zenodo.17224742
Primary Topic
Geodetic Measurements and Engineering Structures
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On Repositories - Cornerstones of Open Science - and how OSCARS and the Science Clusters contribute to them

Zenodo (CERN European Organization for Nuclear Research)
Geodetic Measurements and Engineering Structures
article

On Repositories - Cornerstones of Open Science - and how OSCARS and the Science Clusters contribute to them

article en

Abstract

In the context of Open Science, repositories are digital platforms for the short and/or long-term storage, management, and/or sharing of research data, publications and other scholarly materials. They serve multiple purposes, such as long-term preservation, computation, archiving, and dissemination. They support FAIR principles by providing metadata, persistent identifiers, and access controls, which are crucial to make research findable, accessible, and reusable. Trusted repositories also promote transparency, reproducibility, and societal impact, as shown during the COVID-19 pandemic and challenges around data sharing and data mobilisation. The five Science Clusters - ENVRI, ESCAPE, LS-RI, PaNOSC, and SSHOC - have each developed complementary repository strategies, from federated data lakes, to domain-specific workflows and metadata standards. Through OSCARS, these efforts are being consolidated into interoperable, FAIR-aligned infrastructures that strengthen cross-disciplinary collaboration in the European Open Science Cloud (EOSC). OSCARS also encourages repository development, training, and certification to increase data sharing and Open Sciences, while ensuring that its funded projects deposit their outputs in trusted open access repositories.

Zenodo (CERN European Organization for Nuclear Research)
University of Ljubljana (SI), Inserm (FR), Utrecht University (NL), Trust IT Services (GB), Centre de Calcul de l’Institut National de Physique Nucléaire et de Physique des Particules (FR)
Industry, innovation and infrastructure
Openalex Percentile: Top 49%
Geodetic Measurements and Engineering Structures
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.