Genome-wide analysis of the H3K27me3 epigenome and transcriptome in Brassica rapa is a dataset published in GigaScience (2019). On theSindex it has a DataRank of 0.924, placing it in the top 21.9% of the data-sharing corpus. It has been cited 26 times, with 22 citing works in its 1-hop citation network. Its calibrated FAIR score is 59/100.
Ranks in the top 22% 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 provides NCBI SRA accession (PRJNA542357) and ISA-Tab metadata on GitHub, but no explicit description of machine-readable metadata (e.g., structured JSON-LD or RDF) beyond schema.org format mentioned.
Open Access
0 OA location(s)
The paper clearly describes access to data via NCBI SRA (PRJNA542357), Docker images, GitHub repository, and Zenodo release, with explicit download URLs and instructions.
linked_datasets=0, datacite=0
accessions=0, trials=0
The paper uses standard formats (FASTQ, BAM, BigWig) and common bioinformatics tools, but relies on generic gene ontology and lacks formal vocabularies or linked-data identifiers for interoperability.
no license
downloads=0
no version chain
is_dataset
The data-availability statement, open-access license (CC BY 4.0), and reproducible Docker/Galaxy/Jupyter pipeline are clearly stated, but reproducibility documentation does not include explicit versioning for all tools, and the license is stated for the article, not explicitly for the data themselves.
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
Base Score Contribution
0.494
From this paper's citation signal
Citation Network Contribution
0.429
From 18 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 22 citers.