Lifespan reference curves for harmonizing multi-site regional brain white matter metrics from diffusion MRI is a dataset published in Scientific Data (2025). On theSindex it has a DataRank of 0.595, placing it in the top 33.2% of the data-sharing corpus. It has been cited 17 times, with 14 citing works in its 1-hop citation network. Its calibrated FAIR score is 50/100.
Ranks in the top 33% for downstream scientific impact
Linked data & code
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.
“The data for the lifespan reference curves for the regional FA measures are freely available on the eHarmonize GitHub—https://github.com/ahzhu/eharmonize/tree/main/eharmonize/data 36.”
The identifier given is a web URL (GitHub), not a persistent identifier scheme such as DOI, Handle, or a repository accession. [majority verdict 'partial' (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'
“freely available on the eHarmonize GitHub”
GitHub is a non-repository host; the data are not named as being in a curated data repository.
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
“The data for the lifespan reference curves for the regional FA measures are freely available on the eHarmonize GitHub—https://github.com/ahzhu/eharmonize/tree/main/eharmonize/data 36.”
The dataset identifier (GitHub URL) appears only in the body text, not in the reference list. [majority verdict 'partial' (4/5 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
“The data for the lifespan reference curves for the regional FA measures are freely available on the eHarmonize GitHub—https://github.com/ahzhu/eharmonize/tree/main/eharmonize/data 36.”
The statement points to a GitHub URL, not a repository record with a persistent identifier. [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 data for the lifespan reference curves for the regional FA measures are freely available”
The dataset content is described only in running prose, not in 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'
“The data for the lifespan reference curves for the regional FA measures are freely available on the eHarmonize GitHub”
The data are stated to be freely available with no precondition.
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
“freely available”
The data availability statement says 'freely available', which is a natural-language label for open access.
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
The data are not sensitive; no gatekeeper is mentioned.
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
No statement about how long the data will persist. [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 data/metadata community standard is named (e.g., MIAME, BIDS).
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'
“ABCD data used in this report came from https://doi.org/10.15154/1523041.”
The paper provides DOIs for external datasets used in the study.
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 named for the data; the CC-BY applies to the article, not the data.
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'
No version token or date is given for the data snapshot. [majority verdict 'no' (4/5 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'
“The code may be read in full at https://github.com/ahzhu/eharmonize.”
A machine-resolvable locator (GitHub URL) is provided for the code.
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)
“R01MH134004”
The paper includes specific grant numbers (e.g., R01MH134004) attached to named funders.
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
“FSL's dtifit was used to calculate fractional anisotropy (FA) and diffusivity maps.”— not found in the paper; verdict downgraded
The paper names a specific tool (FSL's dtifit) used to produce the data. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/5 passes agreed)]
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 documentation object (e.g., README, codebook) is named 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
0.434
From this paper's citation signal
Citation Network Contribution
0.161
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 14 citers.
Biotechnology and Biological Sciences Research Council
Grant: BB/H008217/1
Systems Cognitive Neuroscience of Healthy Ageing: Population-Representative Studies of Functional Plasticity and Neural Change
U.S. Department of Health & Human Services | National Institutes of Health
Grant: P30AG059305
U.S. Department of Health & Human Services | National Institutes of Health (NIH)
Grant: R01AA016274
U.S. Department of Health & Human Services | National Institutes of Health
Grant: R01AG078423
U.S. Department of Health & Human Services | National Institutes of Health (NIH)
Grant: R01MH134004
NIA NIH HHS
Grant: RF1 AG057892
NIMH NIH HHS
Grant: RF1 MH123163
NIDA NIH HHS
Grant: U01 DA051016
U.S. Department of Health & Human Services | National Institutes of Health (NIH)
Grant: U54HG013247
NCATS NIH HHS
Grant: UL1 TR000448
NIA NIH HHS
Grant: P01 AG003991
U.S. Department of Health & Human Services | National Institutes of Health
Grant: P41EB015922
NIBIB NIH HHS
Grant: R01 EB009352
NIBIB NIH HHS
Grant: R01 EB015611
U.S. Department of Health & Human Services | National Institutes of Health
Grant: R01AG058464
NIA NIH HHS
Grant: U01 AG024904
NIDA NIH HHS
Grant: U01 DA041048
NIDA NIH HHS
Grant: U01 DA051018
NIDA NIH HHS
Grant: U01 DA051039
NIDA NIH HHS
Grant: U01 DA041028
NIA NIH HHS
Grant: U19 AG076581
U.S. Department of Health & Human Services | NIH | National Institute of Mental Health
Grant: MH078111
NIA NIH HHS
Grant: P01 AG026276
NIDA NIH HHS
Grant: U01 DA041022
NIDA NIH HHS
Grant: U01 DA041106
NIDA NIH HHS
Grant: U01 DA041148
NIDA NIH HHS
Grant: U01 DA041174
Alzheimer's Association
Grant: Zenith
Department of Health | National Health and Medical Research Council (NHMRC)
Grant: 496682
Unravelling genetic influences on the human brain
U.S. Department of Health & Human Services | NIH | National Institute of Mental Health
Grant: MH0708143
U.S. Department of Health & Human Services | NIH | National Institute of Mental Health
Grant: MH083824
NIA NIH HHS
Grant: P30 AG066444
NIA NIH HHS
Grant: R01 AG087513
NIDA NIH HHS
Grant: U01 DA041117
NIDA NIH HHS
Grant: U01 DA041134
NIDA NIH HHS
Grant: U01 DA041156
NIDA NIH HHS
Grant: U01 DA050987
Department of Health | National Health and Medical Research Council (NHMRC)
Grant: 1009064
Genetics of brain structure and function
NIA NIH HHS
Grant: R01 AG043434
NIA NIH HHS
Grant: R01 AG059874
NICHD NIH HHS
Grant: R01 HD050735
NIMH NIH HHS
Grant: R01 MH078111
NIMH NIH HHS
Grant: R01 MH083824
U.S. Department of Health & Human Services | National Institutes of Health (NIH)
Grant: R01AG058854
NINDS NIH HHS
Grant: RF1 NS136995
NIDA NIH HHS
Grant: U01 DA041025
NIDA NIH HHS
Grant: U01 DA041093
NIDA NIH HHS
Grant: U01 DA051037
NIDA NIH HHS
Grant: U24 DA041147
NIMH NIH HHS
Grant: R01 MH116147
NIDA NIH HHS
Grant: RC2 DA029475
NIDA NIH HHS
Grant: U01 DA041089
NIDA NIH HHS
Grant: U01 DA041120
NIDA NIH HHS
Grant: U01 DA050988
NIDA NIH HHS
Grant: U01 DA051038
NIMH NIH HHS
Grant: U01 MH109589
NIDA NIH HHS
Grant: U24 DA041123
NCATS NIH HHS
Grant: UL1 TR002345
NICHD NIH HHS
Grant: N01 HD023343
NIDA NIH HHS
Grant: U01 DA050989
NIMH NIH HHS
Grant: U54 MH091657
National Institutes of Health
Grant: 5U01DA051037-04
20/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT VCU
Wellcome Trust
Grant: unidentified
unidentified
National Institutes of Health
Grant: 5R01MH116147-03
ENIGMA-SD: Understanding Sex Differences in Global Mental Health through ENIGMA
National Institutes of Health
Grant: 3U01MH109589-02S1
Mapping the Human Connectome During Typical Development
National Institutes of Health
Grant: 1U01DA050987-01
17/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT UCLA
National Institutes of Health
Grant: 5U01DA041025-07
11/21 ABCD-USA Consortium: Research Project Site at UWM
National Institutes of Health
Grant: 1P30AG066444-01
Alzheimer's Disease Research Center
National Institutes of Health
Grant: 5R01AA016274-04
Affective & Neurobiological Predictors of Adolescent-Onset Alcohol Use Disorders
National Institutes of Health
Grant: 4R01AG043434-05
DRIVING PERFORMANCE IN PRECLINICAL ALZHEIMER'S DISEASE
National Institutes of Health
Grant: 3U19AG076581-03S2
Interactions of SARS-CoV-2 infection and genetic variation on the risk of cognitive decline and Alzheimer’s disease in Ancestral and Admixed Populations
National Institutes of Health
Grant: 3U24DA041147-06S5
ABCD-USA Consortium: Coordinating Center
National Institutes of Health
Grant: N01NS002316-006
EVALUATION OF ELECTRODE MATERIALS
National Institutes of Health
Grant: 5U01DA050988-06
16/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT UNIVERSITY OF ROCHESTER
National Institutes of Health
Grant: 5R01MH083824-04
Genetics of Brain Structure and Function: Genome-Wide Association
National Institutes of Health
Grant: 5P01AG003991-38
Healthy Aging and Senile Dementia
National Institutes of Health
Grant: 3U01DA041134-04S1
Prospective Research Studies of Maturation (PRISM)- Research Project
National Institutes of Health
Grant: 5R01AG059874-02
High resolution mapping of the genetic risk for disease in the aging brain
National Institutes of Health
Grant: 5U01DA051018-06
14/21 ABCD-USA Consortium: Research Project Site at CU Boulder
National Institutes of Health
Grant: 3U01DA041148-04S1
ABCD-USA Consortium: Research Project
National Institutes of Health
Grant: 3U01DA041117-04S1
Adolescent Brain Cognitive Development (ABCD) Prospective Research in Studies of Maturation (PRISM) Consortium
National Institutes of Health
Grant: 1U01DA041093-01
13/13 ABCD-USA Consortium: Research Project
National Institutes of Health
Grant: 1R01MH078111-01
Genetics of Brain Structure and Function
National Institutes of Health
Grant: 5R01AG078423-03
Shared Genetic and Environmental Influences on Age-Related Hearing Loss, Cognitive Decline, and Dementia Risk
National Institutes of Health
Grant: 5P30AG059305-02
Rio Grande Valley Alzheimer's Resource Center for Minority Aging Research: Partnerships for Progress
National Institutes of Health
Grant: 4UL1TR000448-10
Washington University Institute of Clinical and Translational Sciences
National Institutes of Health
Grant: 5U01DA041120-03
ABCD-USA Consortium: Twin Research Project
National Institutes of Health
Grant: 5R01EB009352-03
THE XNAT IMAGING INFORMATICS PLATFORM
National Institutes of Health
Grant: 5R01AG058854-04
ENIGMA World Aging Center
National Institutes of Health
Grant: 5U01DA051039-04
19/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT UVM
National Institutes of Health
Grant: 5U01DA051038-02
21/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT WUSTL
National Institutes of Health
Grant: 3U54MH091657-03S1
Mapping the Human Connectome: Structure, Function, and Heritability
National Institutes of Health
Grant: 5P01AG026276-07
Antecedent Neuroimaging Biomarkers
National Institutes of Health
Grant: 5U01DA041048-11
8/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT CHLA
National Institutes of Health
Grant: 1U01DA041174-01
ABCD-USA: NYC Research Project
National Institutes of Health
Grant: 5U01DA041028-08
12/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT U PITTSBURGH
National Institutes of Health
Grant: 5R01HD050735-02
Genetic influences on the brain: A twin imaging study
National Institutes of Health
Grant: 7P41EB015922-17
Laboratory of Neuro Imaging Resource (LONIR)
National Institutes of Health
Grant: 5U01DA041106-11
9/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT U MICHIGAN
National Institutes of Health
Grant: 1U01AG024904-01
Alzheimers Disease Neuroimaging Initiative
National Institutes of Health
Grant: 5R01AG058464-05
Imaging Genomics of the Aging Brain
National Institutes of Health
Grant: 5U01DA051016-03
18/21 ABCD-USA CONSORTIUM: RESEARCH PROJECT SITE AT THE UNIVERSITY OF FLORIDA
National Institutes of Health
Grant: 5R01MH134004-03
Global studies into the Genetic Architecture of the Brain's White Matter Network through Harmonized and Coordinated Analyses in the ENIGMA-Consortium
National Institutes of Health
Grant: 5U01DA041089-05
ABCD-USA Consortium: Research Project
National Institutes of Health
Grant: 5U01DA050989-05
15/21 ABCD-USA Consortium: Research Project Site at LIBR
National Institutes of Health
Grant: 1RF1AG057892-01A1
FiberNET: Deep learning to evaluate brain tract integrity worldwide and in AD
National Institutes of Health
Grant: 5U01DA041022-03
ABCD-USA Consortium: Research Project
National Institutes of Health
Grant: 3RC2DA029475-02S1
Creating a Pediatric Imaging-Genomics Data Resource
National Institutes of Health
Grant: 2U24DA041123-06
ABCD-USA Consortium: Data Analysis, Informatics and Resource Center
National Institutes of Health
Grant: 5U01DA041156-05
Adolescent Brain Cognitive Development (ABCD): FIU
Wellcome Trust
Fields of Study
MeSH Terms
Keywords