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Research Software vs. Research Data I: Towards a Research Data definition in the Open Science context
Teresa Gomez-Diaz1, Tomas Recio2
1Laboraroire d'Informatique Gaspard-Monge, CNRS, Paris-Est, France.
This study defines Research Data, clarifying its characteristics for sharing and dissemination. It addresses key questions about research data management within the Open Science framework.
Area of Science:
- Scientific Research Methodology
- Data Management in Science
- Open Science Practices
Background:
- The concept of Research Software has been recently clarified.
- This study addresses the need for a similar clarification for Research Data.
- Existing literature lacks a comprehensive definition of Research Data.
Purpose of the Study:
- To propose a clear and actionable definition for Research Data.
- To explore the challenges in defining Research Data.
- To provide answers to Borgman's conundrum regarding research data sharing.
Main Methods:
- Reviewing the definition of Research Software, including its legal aspects.
- Analyzing the production of research software within the research environment and Open Science.
- Examining challenges in data definition and existing Research Data definitions.
Main Results:
- Proposed a three-characteristic definition for Research Data: produced for a scientific question, by a scientific team, and linked to a published result.
- The definition facilitates understanding of what, who, why, and to what effect research data should be shared.
- The study provides answers on how and where research data can be managed and shared.
Conclusions:
- The proposed definition of Research Data helps resolve challenges in data sharing and management.
- This work contributes to a better understanding of Research Data within the Open Science framework.
- The findings support the effective dissemination and utilization of research outputs.
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