Born-fair Data Projects Using Cookiecutter Templates

Abstract: Implementing research data management best practices and FAIR principles (Wilkinson et al., 2016) is vital for transparent, reproducible research, as well as efficient, sustainable science that avoids duplication of effort. Scientists can also benefit directly from incorporating data management into their data collection and analysis workflows. However, there is an initial cost to adoption that poses a burden and substantial barrier to entry even to well-intentioned researchers. In our experience in statistical and RDM-focused consulting, this cost increases as a project progresses, with a late-stage conversion being the most costly in terms of resources and energy because a working analysis needs to be adapted in one step. Therefore, we believe that it is useful to adopt best practices for data stewardship early-on in a project, and ideally from the get-go. In this contribution, we present a tool for creating and instantiating project templates that conform to good practices with .... https://www.tib-op.org/ojs/index.php/CoRDI/article/view/331

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Born-fair Data Projects Using Cookiecutter Templates ; volume:1 ; year:2023 ; Proceedings of the conference on research data infrastructure ; 1 (2023)

Contributors, Places and Time

• Creator: Henninger, Felix

Further information

• DOI: 10.52825/cordi.v1i.331
• URN: urn:nbn:de:101:1-2023120114560185420497
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:30 AM CEST