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Data repositories

Research data repositories are essential platforms for storing, sharing, and accessing research data. They play a crucial role in the open science landscape, offering numerous benefits to researchers, institutions, and society as a whole.

  • Transparency and reproducibility: Data repositories enable researchers to make their data  accessible, thereby promoting transparency and the reproducibility of research results. This enables other researchers to verify and build upon, thereby strengthening trust in science. 
  • Resource Sharing: Data repositories facilitate the sharing of resources among researchers, which can lead to fruitful collaborations. Data repositories enable  researchers to save time and resources by avoiding the need to collect the same data.
  • Visibility and Impact: Data repositories can increase the                visibility and impact of a research project. Well-documented datasets, can be cited and reused by other researchers, thereby contributing to the advancement of science and the recognition of researchers.
  • Compliance with funders’ policies and requirements: Many institutions and funding agencies now require that researchers deposit their research data. Data deposits help researchers comply with these policies and requirements, which can be beneficial for   their careers and in securing future funding.

A list of trusted thematic repositories is available on the Recherche Data Gouv website.

 

Source: DORANum

Astuce Labrador

When submitting an article, publishers are increasingly requiring that data be deposited, and they sometimes have specific requirements regarding the data warehouse. If this isn’t the case, you should check:

  • Ease of deposit
  • Cost
  • Access terms
  • Long-term access
  • Accepted formats
  • Certification: CoreTrustSeal

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  • Data Management Plan
  • Collect, Process, and Analyze Data
  • Organize and Describe Your Data
  • Store Your Data
  • Archive Your Data
  • Share Your Data
    • Data Repositories
    • Datapapers
    • Licenses
  • Making Your Data FAIR?
  • Funder Requirements

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