On the validity of fMRI mega-analyses using data processed with different pipelines is a dataset published in Imaging Neuroscience (2025). On theSindex it has a DataRank of 0.199, placing it in the top 65.2% of the data-sharing corpus. It has been cited 2 times, with 2 citing works in its 1-hop citation network. Its calibrated FAIR score is 29/100.
Ranks in the top 65% 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 paper does not provide any persistent identifier string (DOI, Handle, ARK, URN, or repository accession) for the dataset.
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 HCP multi-pipeline dataset [24] is in the process of being made publicly available on Public-nEUro [44]”
The paper names Public-nEUro as the repository where the dataset will be deposited; Public-nEUro is a recognised neuroimaging data repository. [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
No identifier for the dataset appears anywhere in the paper, neither in the reference list nor in the body text.
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
“This study was performed using derived data from the HCP Young Adult [5], publicly available at ConnectomeDB. Data usage requires registration and agreement to the HCP Young Adult Open Access Data Use Terms available at: [26]. The HCP multi-pipeline dataset [24] is in the process of being made publicly available on Public-nEUro [44] (we are currently pending approval from Data Protection Officers at our institute).”
The statement points to a repository (Public-nEUro) but does not provide an accession or persistent link to a repository record; it merely states the dataset is in the process of being made available. [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
“• Software package: SPM (Statistical Parametric Mapping, RRID: SCR_007037) [27] or FSL (FMRIB Software Library, RRID: SCR_002823) [28]. • Smoothing kernel: Full-Width at Half-Maximum (FWHM) of 5 mm or 8 mm. • Number of motion regressors included in the General Linear Model (GLM) for the first-level analysis: 0, 6 (3 rotations, 3 translations) or 24 (3 rotations, 3 translations + 6 derivatives and the 12 corresponding squares). • Presence (1) or absence (0) of the derivatives of the Hemodynamic Response Function (HRF) in the first-level GLM.”— not found in the paper; verdict downgraded
The paper includes an enumerated bullet list describing the parameters that define the dataset's pipelines, constituting an itemised inventory of the dataset's variables. [downgraded to 'partial' — no verifiable quote from the paper]
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 HCP multi-pipeline dataset [24] is in the process of being made publicly available on Public-nEUro [44] (we are currently pending approval from Data Protection Officers at our institute).”
The data are not yet accessible; the only route is a future availability with no current followable process. [majority verdict 'no' (4/5 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
“The HCP multi-pipeline dataset [24] is in the process of being made publicly available on Public-nEUro [44] (we are currently pending approval from Data Protection Officers at our institute).”
The paper uses the phrase 'publicly available' to describe the intended access level of the dataset, which is a natural-language equivalent of 'open access'. [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
No gatekeeper is named for the paper's own dataset; the data are to be made publicly available, and no controlled-access procedure is mentioned. [majority verdict 'no' (3/5 passes agreed)]
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 dataset will be retained or makes any persistence commitment.
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'
The paper does not name any file format (e.g., NIfTI, CSV) 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 or metadata standard (e.g., BIDS, NIfTI, MIAME) is named for the dataset; only standard software packages 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'
“swh:1:snp:585d3a0a3388a928ab3c6211c1826702aa618190”
The paper gives a Software Heritage identifier for the code, which is a resource other than the dataset. [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 stated for the dataset; the CC BY 4.0 license 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'
The dataset has no version token or date associated with its release; it is only described as 'in the process of being made publicly available'. [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'
“Python and Matlab scripts to run the experiments and to create the figures and tables of this article are available in the Software Heritage public archive: swh:1:dir:4381210db83c93bca14cf685be0ec293128412c8 [25].”
The paper provides a Software Heritage persistent identifier (swh:1:dir:...) 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)
“Xavier Rolland was supported by Region Bretagne (ARED Varanasi) and by EU H2020 project OpenAIRE-Connect (Grant agreement ID: 731011).”
The paper explicitly lists grant agreement IDs (731011 and ANR-20-THIA-0018) attached to named funders, satisfying the requirement for award numbers.
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
“Software package: SPM (Statistical Parametric Mapping, RRID: SCR_007037) [27] or FSL (FMRIB Software Library, RRID: SCR_002823) [28].”
The paper names specific software packages (SPM, FSL) and their versions implicitly, together with explicit parameters, providing detailed provenance information. [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
No README, data dictionary, codebook, or schema file is mentioned as accompanying the dataset.
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
0.165
From this paper's citation signal
Citation Network Contribution
0.0339
From 2 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 2 citers.
Region Bretagne
Grant: ARED VARANASI
Region Bretagne
Grant: ARED MAPIS
H2020 Excellent Science
Grant: 731011
OpenAIRE - CONNECTing scientific results in support of Open Science
Agence Nationale pour la Recherche
Grant: ANR-20-THIA-0018
AI for Semantic Data Analytics
WU-Minn Consortium
Grant: 1U54MH09165
National Institutes of Health
Grant: 3U54MH091657-03S1
Mapping the Human Connectome: Structure, Function, and Heritability
FWCI
1.54
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals