High-quality science requires high-quality open data infrastructure is a dataset published in Scientific Data (2018). On theSindex it has a DataRank of 0.678, placing it in the top 29.5% of the data-sharing corpus. It has been cited 8 times, with 8 citing works in its 1-hop citation network. Its calibrated FAIR score is 33/100.
Ranks in the top 30% for downstream scientific impact
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Full FAIR picture · advisory
This score predates the current agent — it came from the earlier rubric, which blended repository metadata into the number and asked the model for a rating rather than an evidenced verdict. Re-evaluate the paper to score it against the current standards-anchored criteria, where every verdict is backed by a quote from the full text.
DOI present
datacite=0, pmcid=True, pmid=True
no OpenAlex id
The paper discusses metadata in general terms (e.g., FAIRsharing provides 'source information on metadata'), but does not describe or provide any machine-readable metadata for the paper itself or the cited resources.
Open Access
0 OA location(s)
The paper mentions that resources should be 'accessible' and links to specific repositories (e.g., ImmPort, NeuroMorpho.Org), but it does not specify the actual access protocols (e.g., API, download, authentication) for accessing the data or code.
linked_datasets=0, datacite=0
accessions=0, trials=0
The paper references 'standards' and 'interoperable and accessible' data, and mentions FAIRsharing linking standards, but does not specify the standard formats, vocabularies, or identifiers used by the paper itself.
no license
downloads=0
no version chain
is_dataset
The paper includes a Creative Commons Attribution 4.0 license, which supports reuse, and discusses data reuse and FAIR principles, but it lacks a specific data-availability statement and does not provide details on reproducibility.
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
Base Score Contribution
0.330
From this paper's citation signal
Citation Network Contribution
0.348
From 5 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 8 citers.
Fields of Study
Keywords
Sustainable Development Goals