"The O3 Guidelines: Open Data, Open Code, and Open Infrastructure for Sustainable Curated Scientific Resources"


Here, we introduce the Open Data, Open Code, and Open Infrastructure (O3) Guidelines for the creation and maintenance of curated resources which promote sustainability through a combination of technical workflows, social workflows, and progressive governance models. Together, these support and encourage community-facing curation (Fig. 1). In summary, (1) the technical aspect of O3 necessitates using open data, open code, and open infrastructure. Both data and code are permissively licensed and kept together under public version control. This enables anyone to directly suggest improvements and updates. Further, it recommends using hardware and software infrastructure that supports automation in response to various actions performed by contributors and maintainers. For example, this includes running quality assurance workflows in response to new contributions and the generation of exports in multiple formats in response to running a release workflow. (2) The social aspect of O3 prescribes the composition of training material, curation guidelines, contribution guidelines, and a community code of conduct that encourage and support potential community curators. It requires the use of public tools for suggestions, questions, discussion as well as social workflows for the submission and review of changes. (3) The governance aspect of O3 necessitates the division of responsibilities and authority across multiple institutions, making the resource more robust to fluctuation in funding and personnel, such as when reviewing and applying changes to the data or code. O3 prescribes liberal attribution and acknowledgment of the individuals and institutions, both internal and external to the project, who contribute on a variety of levels such as to data, code, discussion, and funding. More generally, the O3 Guidelines suggest that a minimal governance model be codified and instituted as early as possible in a project’s lifetime.

https://doi.org/10.1038/s41597-024-03406-w

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |

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Author: Charles W. Bailey, Jr.

Charles W. Bailey, Jr.