Enhancing Reproducibility in Research Through FAIR Digital Objects





Reproducibility, FAIR Digital Object, FAIR principles


The FAIR principles were introduced to enhance data reuse by providing guidelines for effective data management practices. In the broader context of research, assets encompass not only data but also artifacts such as code, software, and publications. FAIRifying these artifacts is as essential as FAIRifying data, given the increasing complexity of current AI approaches that make reproducibility extremely challenging. Therefore, the reuse of these artifacts is growing in importance. The concept of FAIR Digital Objects (FDOs) presents a solution to FAIRify these artifacts, treating them as FDOs. NFDI4DataScience is embracing FDOs and proposing an architecture to efficiently manage them.


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How to Cite

Boukhers, Z., & Castro, L. J. (2023). Enhancing Reproducibility in Research Through FAIR Digital Objects. Proceedings of the Conference on Research Data Infrastructure , 1. https://doi.org/10.52825/cordi.v1i.406

Conference Proceedings Volume


Poster presentations II (Call for Papers)
Received 2023-04-26
Accepted 2023-07-03
Published 2023-09-07

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