A reference tissue atlas for the human kidney is a dataset published in Science Advances (2022). On theSindex it has a DataRank of 4.1, placing it in the top 5.4% of the data-sharing corpus. It has been cited 173 times, with 100 citing works in its 1-hop citation network. Its calibrated FAIR score is 50/100.
Ranks in the top 5% 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
The headline score is computed from the scored criteria — the fact-shaped checks (a repository, an accession, a licence) that two independent models agree on. The advisory criteria below are real FAIR guidance but rest on judgment calls that models read differently, so they inform without moving the number.
“DOI: 10.48698/z30t-0a62”— not found in the paper; verdict downgraded
The paper provides a DOI for the dataset, which is a persistent identifier scheme. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/5 passes agreed)]
RDA-F1-01D — FAIR Data Maturity Model: 'Data is identified by a persistent identifier' (priorit · RDA-F1-02D — FAIR Data Maturity Model: 'Data is identified by a globally unique identifier' · FsF-F1-02D — F-UJI/FAIRsFAIR: 'Data is assigned a persistent identifier'
“Gene Expression Omnibus”
The paper names multiple repositories (GEO, MassIVE, Zenodo, KPMP Data Portal) as the holders of the data. [majority verdict 'yes' (4/5 passes agreed)]
RDA-F4-01M — FAIR Data Maturity Model: metadata is offered so it can be harvested and indexed ( · NIH DMS Policy Element 4 (NOT-OD-21-014) — name the repository where data will be archived · NSTC Desirable Characteristics of Data Repositories (2022) — 'Long-Term Sustainability', 'Reten
“All raw and processed data described in this manuscript are available through the KPMP Data Portal at kpmp.org (DOI: 10.48698/z30t-0a62) and Zenodo (DOI: 10.5281/zenodo.6410326).”— not found in the paper; verdict downgraded
Dataset identifiers appear only in the body text, not in the reference list. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/5 passes agreed)]
FORCE11 Joint Declaration of Data Citation Principles (2014) — data should be cited as a first- · RDA-F3-01M — metadata clearly and explicitly includes the identifier of the data it describes · FsF-F3-01M — F-UJI: 'Metadata includes the identifier of the data it describes'
Advisory · not in the published score
“All raw and processed data described in this manuscript are available through the KPMP Data Portal at kpmp.org (DOI: 10.48698/z30t-0a62) and Zenodo (DOI: 10.5281/zenodo.6410326).”— not found in the paper; verdict downgraded
The statement points to repositories with persistent identifiers, satisfying Colavizza category 3. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/5 passes agreed)]
Colavizza, Hrynaszkiewicz, Staden, Whitaker & McGillivray (2020), 'The citation advantage of li · Springer Nature research data policy — Data Availability Statements: standard statement templat · RDA-F3-01M — metadata clearly and explicitly includes the identifier of the data it describes
“The raw transcriptomics data are also available on Gene Expression Omnibus with the accession IDs GSE163603, GSE121862, and GSE140989. Raw proteomics data are publicly available on MassIVE repository with the accession ID MSV000089251.”
The description of the dataset is in running prose, not an itemised inventory. [majority verdict 'partial' (4/5 passes agreed)]
RDA-F2-01M — 'Rich metadata is provided to allow discovery' (priority Essential) · FsF-F2-01M — F-UJI: 'Metadata includes descriptive core elements to support data findability' · FsF-R1-01MD — F-UJI: 'Metadata specifies the content of the data'
“All raw and processed data described in this manuscript are available through the KPMP Data Portal at kpmp.org (DOI: 10.48698/z30t-0a62) and Zenodo (DOI: 10.5281/zenodo.6410326).”— not found in the paper; verdict downgraded
The data are stated to be available without any precondition. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/5 passes agreed)]
RDA-A1.1-01D — 'Data is accessible through a free access protocol' · FsF-A1-01M — F-UJI: 'Metadata contains access level and access conditions of the data' · NSTC Desirable Characteristics of Data Repositories (2022) — 'Free and Easy Access'
Advisory · not in the published score
“Raw proteomics data are publicly available on MassIVE repository with the accession ID MSV000089251.”
The paper labels the access level as 'publicly available' for the raw proteomics data. [majority verdict 'yes' (3/5 passes agreed)]
FsF-A1-01M — F-UJI: 'Metadata contains access level and access conditions of the data' · RDA-A1-01M — metadata contains information to enable the user to get access to the data · COAR Controlled Vocabularies — Access Rights v1.0 (open / embargoed / restricted / metadata-onl
“All raw and processed data described in this manuscript are available through the KPMP Data Portal at kpmp.org (DOI: 10.48698/z30t-0a62) and Zenodo (DOI: 10.5281/zenodo.6410326).”— not found in the paper; verdict downgraded
No gatekeeper is named; the data are stated to be openly available.
NIH Genomic Data Sharing Policy (NOT-OD-14-124) — controlled-access via a Data Access Committee · RDA-A1.2-01D — 'Data is accessible through an access protocol that supports authentication and · NIH DMS Policy Element 5 (NOT-OD-21-014) — Access, Distribution, or Reuse Considerations (conse
“All raw and processed data described in this manuscript are available through the KPMP Data Portal at kpmp.org (DOI: 10.48698/z30t-0a62) and Zenodo (DOI: 10.5281/zenodo.6410326).”— not found in the paper; verdict downgraded
No persistence commitment or retention period is stated; only current availability is mentioned. [majority verdict 'no' (4/5 passes agreed)]
NIH DMS Plan Element 4 (NOT-OD-21-014) — Data Preservation, Access, and Associated Timelines · NSTC Desirable Characteristics (2022), Organizational Infrastructure: 'Retention Policy' · RDA-A2-01M — 'Metadata is guaranteed to remain available after data is no longer available'
No file format is named for the released data.
FsF-R1.3-02D — F-UJI: 'Data is available in a file format recommended by the target research co · RDA-R1.3-02D — data is expressed in a machine-understandable community standard · RDA-I1-01D — data uses a knowledge representation expressed in a standardised format
Advisory · not in the published score
No community data standard (e.g., MIAME, BIDS) is named for the dataset. [majority verdict 'no' (2/5 passes agreed)]
RDA-R1.3-01M — 'Metadata complies with a community standard' (priority Essential) · RDA-R1.3-01D — 'Data complies with a community standard' · RDA-I2-01M — '(Meta)data use vocabularies that follow FAIR principles'
“GSE114156”
The paper references an external dataset (GSE114156) from the literature. [majority verdict 'yes' (4/5 passes agreed)]
RDA-I3-01M — '(meta)data include references to other (meta)data' · RDA-I3-03M — 'metadata includes qualified references to other metadata' · FsF-I3-01M — F-UJI: 'Metadata includes links between the data and its related entities'
No license is explicitly attached to the data; the article's CC BY-NC license does not apply to the data. [majority verdict 'no' (3/5 passes agreed)]
RDA-R1.1-01M — 'Metadata includes information about the licence under which the data can be reu · RDA-R1.1-02M — 'Metadata refers to a standard reuse licence' · RDA-R1.1-03M — 'Metadata refers to a machine-understandable reuse licence'
“DOI: 10.5281/zenodo.6410326”
The Zenodo DOI is versioned, providing a snapshot identifier. [majority verdict 'yes' (3/5 passes agreed)]
DataCite Metadata Schema 4.6 — the 'Version' property · RDA-R1.2-01M — provenance information (which version was used is provenance) · NSTC Desirable Characteristics of Data Repositories (2022) — 'Provenance', 'Retention Policy'
“Fully annotated scripts and readme files that can be used to generate all the main figures in this manuscript are freely available at the KPMP GitHub portal (https://github.com/KPMP/Reference-Tissue-Cell-Atlas-Manuscript-2022).”
The paper provides a GitHub URL for the code, which is a machine-resolvable locator.
NIH DMS Policy Element 2 (NOT-OD-21-014) — 'Related Tools, Software and/or Code' · FAIR4RS Principles v1.0 (Chue Hong et al., 2022; RDA/FORCE11/ReSA) — FAIR Principles for Resear · FORCE11 Software Citation Principles (Smith, Katz & Niemeyer, 2016, PeerJ CS 2:e86)
“UH3 DK114923”
The paper lists NIH grant numbers, which are award identifiers.
DataCite Metadata Schema 4.6 — 'FundingReference' property (funderName, funderIdentifier, award · Crossref Funder Registry — canonical funder identifiers for funding metadata · RDA-F2-01M — rich metadata provided to allow discovery (funding is part of the descriptive reco
Advisory · not in the published score
“Sequencing was conducted on an Illumina HiSeq 4000.”
The paper names specific instruments and software used for data generation.
RDA-R1.2-01M — 'Metadata includes provenance information according to community- specific standa · FsF-R1.2-01M — F-UJI: 'Metadata includes provenance information about data creation or generati · W3C PROV-O (W3C Recommendation, 2013) — the entity/activity/agent model of provenance
No codebook, README, or data dictionary is mentioned as accompanying the data.
RDA-R1-01M — '(Meta)data are richly described with a plurality of accurate and relevant attribu · FsF-R1-01MD — F-UJI: 'Metadata specifies the content of the data' · NIH DMS Policy Element 3 (NOT-OD-21-014) — Standards (documentation and metadata to accompany t
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
Base Score Contribution
0.774
From this paper's citation signal
Citation Network Contribution
3.3
From 100 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 100 citers.
NIDDK NIH HHS
Grant: UH3 DK114908
NIDDK NIH HHS
Grant: U01 DK114907
NIDDK NIH HHS
Grant: U24 DK114886
NIDDK NIH HHS
Grant: UG3 DK114937
NIDDK NIH HHS
Grant: K23 DK125529
NIDDK NIH HHS
Grant: P30 DK079312
NHLBI NIH HHS
Grant: U54 HL145608
NIDDK NIH HHS
Grant: UH3 DK114920
NIDDK NIH HHS
Grant: UH3 DK114933
NIDDK NIH HHS
Grant: UH3 DK114937
NIDDK NIH HHS
Grant: U01 DK133092
NIDDK NIH HHS
Grant: U2C DK114886
NIDDK NIH HHS
Grant: UG3 DK114907
NIDDK NIH HHS
Grant: UH3 DK114907
NIDDK NIH HHS
Grant: U01 DK114933
NIDDK NIH HHS
Grant: UH3 DK114923
National Institutes of Health
Grant: 1ZIADK013039-04
Molecular modeling of soluble proteins
National Institutes of Health
Grant: 3UH3DK114907-03S1
PREcision Medicine through IntErrogation of Rna in the kidnEy (PREMIERE)
National Institutes of Health
Grant: 3UH3DK114920-04S2
Nicotinamide Riboside for AKI in COVID-19 positive inpatients
National Institutes of Health
Grant: 5UH3DK114937-05
Multidimensional cellular interrogation of the kidney in AKI and CKD
National Institutes of Health
Grant: 1U2CDK114886-01
Central Hub for Kidney Precision Medicine
National Institutes of Health
Grant: 3UH3DK114933-03S1
Single-nucleus sequencing and in situ mapping of mRNA molecules in human kidney
National Institutes of Health
Grant: 4UH3DK114923-03
Nephron Sub-segmental Omics and Quantitative 3D Imaging of Human Kidney.
FWCI
12.30
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals