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Research Software vs. Research Data II: Protocols for Research Data dissemination and evaluation in the Open Science
Teresa Gomez-Diaz1, Tomas Recio2
1Laboratoire d'informatique Gaspard-Monge, CNRS, Paris-Est, France.
F1000Research
|December 12, 2022
Summary
Open Science aims to improve research visibility and reuse. This study proposes extending Research Software dissemination and evaluation protocols to Research Data, enhancing findability and accessibility for both.
Area of Science:
- Information Science
- Computer Science
- Data Science
Background:
- Open Science initiatives emphasize research visibility, accessibility, and reusability.
- Sharing and disseminating Research Data and Research Software present significant challenges due to evolving political, legal, and funding landscapes.
Purpose of the Study:
- To leverage established protocols for Research Software to address challenges in Research Data dissemination.
- To analyze the applicability of FAIR principles to both Research Data and Research Software.
Main Methods:
- Building upon prior work that identified definitional similarities between Research Data and Research Software.
- Extending methodologies used for Research Software dissemination and evaluation to Research Data.
Main Results:
- Demonstrated that similarities in definitions allow for the adaptation of Research Software protocols for Research Data.
- Analyzed the alignment of Research Data and Research Software with the FAIR principles (Findable, Accessible, Interoperable, Reusable).
Conclusions:
- Provides practical guidance for researchers to improve the findability and accessibility of Research Data and Research Software.
- Offers criteria for selecting appropriate dissemination platforms to fully implement the FAIR framework for research outputs.
Keywords:
FAIR principles.Open ScienceResearch DataResearch EvaluationResearch SoftwareResearch outputs’ disseminationMore Related Videos
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