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Nine best practices for research software registries and repositories
Daniel Garijo1, Hervé Ménager2, Lorraine Hwang3
1Universidad Politécnica de Madrid, Madrid, Spain.
This study outlines best practices for creating scientific software registries and repositories. These guidelines help improve software discoverability, research transparency, and reproducibility by defining clear policies and scope for these crucial resources.
Area of Science:
- Computer Science
- Information Science
- Scientific Research
Background:
- Scientific software registries and repositories are vital for software findability, research transparency, and preservation of computational methods.
- Existing resources play a critical role in supporting research reproducibility and replicability.
- Limited guidelines exist for prospective creators of these scientific software resources.
Purpose of the Study:
- To address the need for guidelines in developing scientific software registries and repositories.
- To distill experiences from managers of existing resources to set stakeholder expectations.
- To present best practices for establishing and managing scientific software registries and repositories.
Main Methods:
- Convening a Task Force under the FORCE11 Software Citation Implementation Working Group.
- Distilling experiences from managers of existing scientific software registries and repositories.
- Defining scope, policies, and rules governing individual registries and repositories.
Main Results:
- Development of best practices for scientific software registries and repositories.
- Inclusion of background information, examples, and collaborative work in the development process.
- Emphasis on defining scope, policies, and rules for these resources.
Conclusions:
- Established best practices will aid in the creation and management of scientific software registries and repositories.
- Specific policies are essential for these resources to effectively serve users and their respective disciplines.
- Implementing these policies will enhance software discoverability, transparency, and reproducibility in scientific research.
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