FAIRplus D2.6 FAIR Data Set Maturity model is a dataset published in Zenodo (CERN European Organization for Nuclear Research) (2022). On theSindex it has a DataRank of 0.104, placing it in the top 62.1% of the data-sharing corpus. It has been cited 1 time. Its calibrated FAIR score is 38/100.
The FAIR Dataset Maturity (DSM) model is intended as a comprehensive reference model for state-of-FAIRness improvement in research datasets. Based on the FAIR guiding principles, the DSM model defines and classifies requirements that constitute an incremental path towards improving FAIRness level for a given research dataset. The FAIR DSM has also been applied to the FAIR Cookbook recipes, and used it to assess the FAIRified datasets.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
Base Score Contribution
0.104
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 100% comes from its base citations and 0% from the citation network.
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.