Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study is a dataset published in Scientific Data (2024). On theSindex it has a DataRank of 0.696, placing it in the top 28.7% of the data-sharing corpus. It has been cited 36 times, with 19 citing works in its 1-hop citation network. Its calibrated FAIR score is 38/100.
Ranks in the top 29% 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.
“https://nda.nih.gov/edit_collection.html?id=3371”— not found in the paper; verdict downgraded
The paper gives a web address (URL) but not a persistent-identifier scheme string such as a DOI or repository accession. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (4/5 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'
“It is available through the NIMH Data Archive (NDA) repository56.”— not found in the paper; verdict downgraded
The paper explicitly states the data are available through the NIMH Data Archive (NDA) repository. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/5 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
“56. Harmonizing multi-site diffusion MRI acquisitions for neuroscientific analysis across ages and brain disorders. https://nda.nih.gov/edit_collection.html?id=3371”— not found in the paper; verdict downgraded
The dataset identifier appears as a reference-list entry. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (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
“Our data collection of harmonized dMRI data and measures is available for browsing in the NDA without requiring a data agreement56.”
The statement points to a repository (NDA) with a link, satisfying Colavizza category 3. [majority verdict 'yes' (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
“Table 5. A total of 804 different derived measures, including FA, MD, NoS, etc. for each of the 73 white matter fiber bundles (bilateral, commissural, superficial, and cerebellar) were uploaded on the NDA for 9345 subjects.”
The paper includes an itemised inventory (Table 5) that lists the variables and measures, satisfying the class-1 artefact. [majority verdict 'yes' (3/5 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'
“However, to download the data, users must have NDA access.”
The paper specifies a followable precondition (NDA access and a formal access request process) for downloading the data.
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
“To download the data, users must have NDA access.”
The paper describes the access action but does not use a standard access-rights label. [majority verdict 'partial' (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
“Data Access Committee (DAC)”
The paper names an institutional gatekeeper (the Data Access Committee) for the human-subject data.
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
“Our data collection of harmonized dMRI data and measures is available for browsing in the NDA without requiring a data agreement.”— not found in the paper; verdict downgraded
The paper states the data are available now but does not commit to a retention period or permanent archival. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/5 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'
“VTK”— not found in the paper; verdict downgraded
The paper names VTK files for the data; VTK is an open community-standard format. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (4/5 passes agreed)]
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 data or metadata community standard (e.g., MIAME, BIDS) is named; only software and pipeline names are mentioned.
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'
“https://nda.nih.gov/abcd/”
The paper gives a repository URL for the ABCD study, which is a non-own resource, qualifying as a qualified reference. [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'
The paper states the article is under CC BY 4.0 but does not name a license for the data itself.
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'
The paper does not assign a version number or date to the released dataset; only the input ABCD release version (3.0) is mentioned. [majority verdict 'no' (2/5 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'
“https://github.com/pnlbwh/multi-shell-dMRIharmonization”
The paper provides a GitHub repository URL for the study's own code, 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)
“R01 MH119222”
The paper includes a specific NIH grant number (R01 MH119222) in the Acknowledgements.
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
“We applied our retrospective multi-shell dMRI data harmonization algorithm (https://github.com/pnlbwh/multi-shell-dMRIharmonization)”
The paper names specific software and algorithms (e.g., the multi-shell dMRI harmonization algorithm) used to produce the data.
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
“Table 5. A total of 804 different derived measures, including FA, MD, NoS, etc. for each of the 73 white matter fiber bundles (bilateral, commissural, superficial, and cerebellar) were uploaded on the NDA for 9345 subjects.”
Variable-level definitions are provided in a table within the article, not in a separate documentation object shipped with the data. [majority verdict 'partial' (3/5 passes agreed)]
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
0.542
From this paper's citation signal
Citation Network Contribution
0.155
From 8 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 19 citers.
U.S. Department of Health & Human Services | NIH | National Institute of Mental Health
Grant: R01 MH119222
NIMH NIH HHS
Grant: K24 MH116366
NIDA NIH HHS
Grant: U01 DA041022
NIDA NIH HHS
Grant: U01 DA041025
NIDA NIH HHS
Grant: U01 DA041134
NIDA NIH HHS
Grant: U01 DA051037
NIMH NIH HHS
Grant: R01 MH125860
NIDA NIH HHS
Grant: U01 DA041148
NIDA NIH HHS
Grant: U01 DA041156
NIDA NIH HHS
Grant: U01 DA050987
NIDA NIH HHS
Grant: U24 DA041123
NIMH NIH HHS
Grant: R01 MH132610
NIDA NIH HHS
Grant: U01 DA041048
NIDA NIH HHS
Grant: U01 DA041106
NIDA NIH HHS
Grant: U24 DA041147
NIDA NIH HHS
Grant: U01 DA041093
NIDA NIH HHS
Grant: U01 DA041174
NIDA NIH HHS
Grant: U01 DA050989
NIDA NIH HHS
Grant: U01 DA051016
NIDA NIH HHS
Grant: U01 DA051038
NIDA NIH HHS
Grant: U01 DA041089
NIDA NIH HHS
Grant: U01 DA041120
NIDA NIH HHS
Grant: U01 DA050988
NIDA NIH HHS
Grant: U01 DA041028
NIDA NIH HHS
Grant: U01 DA041117
NIDA NIH HHS
Grant: U01 DA051018
NIDA NIH HHS
Grant: U01 DA051039
Brain and Behavior Research Foundation
BWH | Center for Faculty Development and Diversity, Brigham and Women's Hospital
U.S. Department of Health & Human Services | NIH | National Institute of Mental Health
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals