Identifying canonical and replicable multi‐scale intrinsic connectivity networks in 100k+ resting‐state fMRI datasets is a dataset published in Human Brain Mapping (2023). On theSindex it has a DataRank of 0.767, placing it in the top 26.2% of the data-sharing corpus. It has been cited 73 times, with 13 citing works in its 1-hop citation network. Its calibrated FAIR score is 17/100.
Ranks in the top 26% 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.
“NeuroMark_fMRI_2.0 single- and multi-model order templates, which are available for access at https://trendscenter.org/data/”— not found in the paper; verdict downgraded
The identifier given is a web URL, not a persistent identifier scheme (DOI, Handle, ARK, repository accession). [downgraded to 'no' — no verifiable quote from the paper]
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'
“https://trendscenter.org/data/”— not found in the paper; verdict downgraded
The data are hosted on a project website (trendscenter.org), not a named repository from the curated list. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (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
“NeuroMark_fMRI_2.0 single- and multi-model order templates, which are available for access at https://trendscenter.org/data/”— not found in the paper; verdict downgraded
The dataset identifier (URL) appears only in body text, not in the reference list. [downgraded to 'no' — no verifiable quote from the paper]
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 full list of datasets and resources for obtaining further details on each can be found in Supporting Information S1. The links for publicly available datasets and contact information for private datasets are included in Supporting Information S1.”
The statement points to supplementary information within the article, not to a repository record (Colavizza category 2). [majority verdict 'partial' (4/5 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
“Figure 2a displays the composite views of the 105 selected ICNs and their average functional connectivity.”
The dataset is described in running prose and a figure caption, not in an itemised inventory (section, table, or list). [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'
“NeuroMark_fMRI_2.0 single- and multi-model order templates, which are available for access at https://trendscenter.org/data/”— not found in the paper; verdict downgraded
The data are stated to be available at a URL with no precondition, so the route is unconditional. [downgraded to 'partial' — no verifiable quote from the paper]
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
“available for access at https://trendscenter.org/data/”— not found in the paper; verdict downgraded
The paper describes the action of accessing the data at a URL, but does not use an explicit access-level label from the standard vocabulary. [downgraded to 'no' — no verifiable quote from the paper]
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 paper's own data (the template) are publicly available with no stated gatekeeper; the original sensitive data are not this study's own product.
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 sentence in the paper states how long the data will be available or commit to a retention period.
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 for the released data is mentioned in the text.
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, ontology) is named for the study's own data.
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'
“UK Biobank (Littlejohns et al., 2020) Resource under Application Number 49636.”
The paper provides an application number (identifier) for the UK Biobank resource, which is a third-party data source used in the study. [majority verdict 'yes' (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-NC-ND licence applies only to the article.
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'
“NeuroMark_fMRI_2.0 single- and multi-model order templates”
The template is labelled with a version token (2.0), identifying the specific snapshot.
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'
“All the code used in this study could be made available by contacting the corresponding author (A. Iraji).”
The only offer is a discretionary request to a person, which is not 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)
“National Institutes of Health, Grant/Award Numbers: 1U24RR021992, 1U24RR025736, R01EB006841, R01EB020407, R01MH117107, R01MH118695, R01MH123610”
Award numbers are given for named funders. [majority verdict 'yes' (3/5 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
“ICA analysis was performed using the Group ICA of FMRI Toolbox (GIFT) v4.0c package”
The paper names specific software tools (GIFT, FSL, SPM) used to produce the data. [majority verdict 'yes' (4/5 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
“Supporting Information S4 contains the axial view of each ICN.”
The definitions of the ICNs are provided inside the article (supporting information), 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
0.646
From this paper's citation signal
Citation Network Contribution
0.121
From 6 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 13 citers.
Canadian Institutes of Health Research
Grant: FRN 153359
Lawson Health Research Institute
Grant: LHR D1374
National Institutes of Health
Grant: 1U24RR021992
National Institutes of Health
Grant: 1U24RR025736
National Institutes of Health
Grant: R01EB006841
National Institutes of Health
Grant: R01EB020407
National Institutes of Health
Grant: R01MH117107
National Institutes of Health
Grant: R01MH118695
National Institutes of Health
Grant: R01MH123610
National Science Foundation
Grant: 1631838
National Science Foundation
Grant: 2112455
Pfizer
Grant: WS2249136
NIBIB NIH HHS
Grant: R01 EB015611
NIDA NIH HHS
Grant: U01 DA041025
NIDA NIH HHS
Grant: U01 DA041134
NIMH NIH HHS
Grant: RF1 MH123163
NIDA NIH HHS
Grant: U01 DA041148
NIDA NIH HHS
Grant: U01 DA041174
NCRR NIH HHS
Grant: U24 RR025736
NIA NIH HHS
Grant: P01 AG003991
NIA NIH HHS
Grant: P01 AG026276
NIA NIH HHS
Grant: R01 AG043434
NIBIB NIH HHS
Grant: R01 EB009352
NIMH NIH HHS
Grant: R03 MH096321
NIH HHS
Grant: S10 OD023696
NIDA NIH HHS
Grant: U01 DA041106
NIDA NIH HHS
Grant: U01 DA051018
NIDA NIH HHS
Grant: U01 DA051037
NIDA NIH HHS
Grant: U24 DA041147
NIMH NIH HHS
Grant: K23 MH087770
NIDA NIH HHS
Grant: U01 DA041022
NCRR NIH HHS
Grant: U24 RR021992
NIAID NIH HHS
Grant: U01 AI041089
NIDA NIH HHS
Grant: U01 DA041089
NIDA NIH HHS
Grant: U01 DA050987
NIDA NIH HHS
Grant: U01 DA051039
NIDA NIH HHS
Grant: U01 DA041120
NIDA NIH HHS
Grant: U01 DA050989
NIDA NIH HHS
Grant: U24 DA041123
NIMH NIH HHS
Grant: U54 MH091657
NCATS NIH HHS
Grant: UL1 TR000448
NCATS NIH HHS
Grant: UL1 TR001863
NIDA NIH HHS
Grant: U01 DA041028
NIDA NIH HHS
Grant: U01 DA051016
NIA NIH HHS
Grant: U01 AG024904
NIDA NIH HHS
Grant: U01 DA041048
NIDA NIH HHS
Grant: U01 DA041093
NIDA NIH HHS
Grant: U01 DA041117
NIDA NIH HHS
Grant: U01 DA041156
NIDA NIH HHS
Grant: U01 DA050988
NIDA NIH HHS
Grant: U01 DA051038
NCATS NIH HHS
Grant: UL1 TR002345
FWCI
9.60
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals