Open Science Best Practices in Data Science and Artificial Intelligence
Best practice
Open Science
Scientific Workflows
Data Sharing
Data Reuse
Research Data
Open research
Version:
-
DOI:
10.52825/cordi.v1i.299
Publication Date:
2023-09-07
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AUTHORS (3)
ABSTRACT
In the past years, scientific research in Data Science and Artificial Intelligence has witnessed vast progress. The number of published papers digital objects (data, code, models) is growing exponentially. However, not all these artifacts are findable, accessible, interoperable reusable (FAIR), contributing to a rather low level reproducibility experimental findings reported scholarly publications (reproducibility crisis). this paper, we focus on Open best practices, i.e., set recommendations that eventually contribute management development artefacts as FAIR possible. While several guidelines exist, add practices for collection, processing, storing sharing via Research Knowledge Graphs. final list will be openly available NFDI4DS webpage an interactive web application.
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