Intracranial and subcortical volumes in adolescents with early‐onset psychosis: A multisite mega‐analysis from the ENIGMA consortium is a dataset published in Human Brain Mapping (2020). On theSindex it has a DataRank of 1.1, placing it in the top 19.1% of the data-sharing corpus. It has been cited 40 times, with 22 citing works in its 1-hop citation network. Its calibrated FAIR score is 4/100.
Ranks in the top 19% 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.
“The datasets from this study will not be made publicly available as we do not have approvals for sharing clinical data.”
No PID-scheme string or data URL occurs; the paper states the data are not available.
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'
“The datasets from this study will not be made publicly available as we do not have approvals for sharing clinical data.”
No repository is named; the paper states the data are not available.
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
No identifier or link for the dataset appears anywhere in the paper, either in the body text or the reference list.
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 datasets from this study will not be made publicly available as we do not have approvals for sharing clinical data.”
The statement declares the data cannot be shared and offers no route of any kind, which corresponds to Colavizza category 0 (no DAS) or a refusal.
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
No section, table, or enumerated list describes the dataset; the text describes the study sample and methods, not the dataset as a separate artefact. [majority verdict 'no' (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'
“The datasets from this study will not be made publicly available as we do not have approvals for sharing clinical data.”
The paper states the data are not available, offering no followable route with or without 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
“The datasets from this study will not be made publicly available as we do not have approvals for sharing clinical data.”
The paper states the data are not publicly available but does not use a standard access-level label (e.g., 'open access', 'restricted access') and describes no action by which data could be obtained.
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 datasets from this study will not be made publicly available as we do not have approvals for sharing clinical data.”
The paper states the data are not available and names no gatekeeper, institutional or personal.
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
The paper states the data will not be shared, so no timing or persistence commitment is made.
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 token of any kind 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 or metadata community standard (e.g., MIAME, BIDS, an ontology) is named as applied to the data; only processing standards like ENIGMA protocols 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'
The paper gives a URL for FreeSurfer (http://surfer.nmr.mgh.harvard.edu), a resource the data depend on. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/5 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 licence or terms document is named for the data; the CC-BY license applies to the article only, 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'
Neither a version token nor a date pins the snapshot of the data; the data are not deposited.
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 paper does not mention any code availability; no locator is given.
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)
“Forskningsrådet om Hälsa, Arbetsliv och Välfärd, Grant/Award Numbers: 2017-00949, 521-2014-3487; Helse Sør-Øst RHF, Grant/Award Numbers: 2004-259, 2006-186, 2017112;”
Multiple award numbers are given attached to named funders, e.g., '2017-00949' from the Swedish Research Council for Health, Working Life and Welfare. [majority verdict 'yes' (4/5 passes agreed)]
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
“T1-weighted brain images were processed locally at each site with FreeSurfer (version 5.3.0; http://surfer.nmr.mgh.harvard.edu ; Fischl, 2012 ) following standardized ENIGMA processing protocols.”— not found in the paper; verdict downgraded
The text names the specific software (FreeSurfer 5.3.0) used to produce the data, which is a proper-noun tool with a version token. [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 (README, codebook, data dictionary) is named as accompanying the data, and the data are not deposited. [majority verdict 'no' (4/5 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
0.557
From this paper's citation signal
Citation Network Contribution
0.506
From 19 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.
Forskningsrådet om Hälsa, Arbetsliv och Välfärd
Grant: 2017‐00949
Forskningsrådet om Hälsa, Arbetsliv och Välfärd
Grant: 521‐2014‐3487
Helse Sør-Øst RHF
Grant: 2004‐259
Helse Sør-Øst RHF
Grant: 2006‐186
Helse Sør-Øst RHF
Grant: 2017112
Horizon 2020 Framework Programme
Grant: 115916
Psychiatric Ratings using Intermediate Stratified Markers - Sofia ref.: 115916
Horizon 2020 Framework Programme
Grant: 777394
Autism Innovative Medicine Studies – 2 – Trials
National Alliance for Research on Schizophrenia and Depression
Grant: 24138
National Health and Medical Research Council
Grant: 1059660
Novel therapies, risk pathways and prevention of mood disorders
National Health and Medical Research Council
Grant: APP1156072
National Institutes of Health
Grant: MH105808
National Institutes of Health
Grant: P50MH066286
National Institutes of Health
Grant: R01EB015611
National Institutes of Health
Grant: R01MH101506
National Institutes of Health
Grant: R01MH113619
National Institutes of Health
Grant: R01MH116147
National Institutes of Health
Grant: R01MH117601
National Institutes of Health
Grant: S10OD023696
National Institutes of Health
Grant: U54EB020403
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Grant: 451‐13‐035
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Grant: 453‐11‐005
Norges Forskningsråd
Grant: 2137000
Norges Forskningsråd
Grant: 223273
NORMENT; Norwegian Centre for Mental Disorders Research
Norges Forskningsråd
Grant: 250358
Longitudinal Brain Imaging and Investigation of Etiological and Outcome Factors in Adolescents with Early Onset Psychosis:continuation study
Norges Forskningsråd
Grant: 288083
Research Center for Developmental Processes and Gradients in Mental Health - PROMENTA
Seventh Framework Programme
Grant: FP7‐ HEALTH‐2013‐2.2.1‐2‐602478
Seventh Framework Programme
Grant: FP7‐HEALTH‐2009‐2.2.1‐2‐241909
Seventh Framework Programme
Grant: FP7‐HEALTH‐2009‐2.2.1‐3‐242114
Seventh Framework Programme
Grant: FP7‐HEALTH‐2013‐2.2.1‐2‐603196
Stiftelsen Kristian Gerhard Jebsen
Grant: SKGJ‐MED‐008
Svenska Forskningsrådet Formas
Grant: 259‐2012‐31
NIMH NIH HHS
Grant: R03 MH105808
NIMH NIH HHS
Grant: RF1 MH123163
Medical Research Council
Grant: G0500092
Anatomical connectivity in early onset schizophrenia
Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning
Grant: unidentified
unidentified
National Institutes of Health
Grant: 1R01EB015611-01
SOLAR-Eclipse Computational Tools for Imaging Genetics
European Commission
Grant: 241909
European Network of National Schizophrenia Networks Studying Gene-Environment Interactions
National Institutes of Health
Grant: 5R01MH101506-03
Multimodal Imaging of Executive and Reward Networks Across the Psychosis Spectrum
European Commission
Grant: 242114
OPtimization of Treatment and Management of Schizophrenia in Europe (OPTiMiSE)
Netherlands Organisation for Scientific Research (NWO)
Grant: 451-13-035
Cant see the wood for the trees? An investigation of impaired social context processing as an underlying mechanism of symptoms and social dysfunction in non-affective psychosis
European Commission
Grant: 603196
Translating neuroimaging findings from research into clinical practice
National Institutes of Health
Grant: 3U54EB020403-04S1
ENIGMA Center for Worldwide Medicine, Imaging & Genomics
European Commission
Grant: 602478
Neuroimaging platform for characterisation of metabolic co-morbidities in psychotic disorders
Netherlands Organisation for Scientific Research (NWO)
Grant: 453-11-005
Different selves: the impact of culture on the brain
National Institutes of Health
Grant: 1R03MH105808-01A1
Integration of Five Large-Scale Neuropsychiatric Genetic Datasets under the RDoC Framework
National Institutes of Health
Grant: 5R01MH117601-04
A global alliance to unlock brain mechanisms influencing suicidal behaviors through the ENIGMA Consortium
National Institutes of Health
Grant: 5R01MH116147-03
ENIGMA-SD: Understanding Sex Differences in Global Mental Health through ENIGMA
National Institutes of Health
Grant: 5R01MH113619-02
Brain connectivity and the role of myelin in Psychosis
National Institutes of Health
Grant: 5U54EB020403-03
ENIGMA Center for Worldwide Medicine, Imaging & Genomics
FWCI
2.38
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals