A large normative connectome for exploring the tractographic correlates of focal brain interventions is a dataset published in Scientific Data (2024). On theSindex it has a DataRank of 0.645, placing it in the top 30.8% of the data-sharing corpus. It has been cited 27 times, with 20 citing works in its 1-hop citation network. Its calibrated FAIR score is 83/100.
Ranks in the top 31% 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.
“10.6084/m9.figshare.c.6844890.v1”
The dataset is identified by a DOI, a persistent identifier scheme, in the reference list. [majority verdict 'yes' (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'
“FigShare”
The paper states that the data are freely available on FigShare, a known 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
“Elias, G. J. B. et al. A large normative connectome for exploring the tractographic correlates of focal brain interventions. Figshare https://doi.org/10.6084/m9.figshare.c.6844890.v1(2024).”
The dataset's DOI appears as a reference list entry, satisfying the citation criterion. [majority verdict 'yes' (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 and scripts described in this data publication are freely available on FigShare67.”
The data availability statement points to a repository record (FigShare) with a DOI, consistent with Colavizza category 3. [majority verdict 'yes' (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
“Data Records”
The paper has a dedicated 'Data Records' section that itemises the files and variables in the dataset. [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'
“The data and scripts described in this data publication are freely available on FigShare67.”
The data are stated to be freely available on FigShare 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 paper labels the data as 'freely available', which is a natural-language equivalent of 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 openly available and no gatekeeper is mentioned; the data are not sensitive for the purpose of this criterion.
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
“Now publicly available, this connectome will constitute a useful tool for understanding the wider impact of focal brain perturbations on white matter architecture going forward.”
The paper states that the data are now publicly available but does not specify a retention period or permanent archival commitment. [majority verdict 'partial' (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'
“a whole-brain tractogram file comprising 11,820,000 streamlines ("dTOR_full_tractogram.trk")”
The paper mentions the .trk format, which is an open standard for tractography data, and also .nii.gz (NIfTI). [majority verdict 'yes' (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, ISA-Tab, ontology) is named in the paper. [majority verdict 'no' (4/5 passes agreed)]
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://www.humanconnectome.org/study/hcp-young-adult/document/1200-subjects-data-release”
The paper provides a URL to the HCP data repository, which identifies the source data used to construct the connectome. [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 is explicitly stated for the data in the paper; the article's CC BY licence 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'
“10.6084/m9.figshare.c.6844890.v1”
The DOI includes a version suffix (.v1), indicating a specific snapshot of the data. [majority verdict 'yes' (3/5 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/Germann-lab/dTOR-985-Connectome.git”
The paper provides a GitHub repository URL for the scripts, 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)
“This study was supported by the RR Tasker Chair in Functional Neurosurgery at University Health Network (A.M.L.), a Tier 1 Canada Research Chair in Neuroscience (A.M.L.), and the Canadian Institutes of Health Research (CGS-D reference # 164235: G.J.B.E., Banting fellowship reference # 471913: J.G.).”
The paper lists specific grant numbers (e.g., CGS-D #164235, Banting #471913) attached to 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
“Fiber tracking was performed in the native (i.e., non-normalized) subject dMRI space using generalized Q-sampling imaging (GQI, a model-free deterministic tractography method) as implemented in DSI Studio”
The paper names specific tools and methods (DSI Studio, GQI) 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
“First, the complete connectome itself is provided in the form of a matlab-readable file ('dTOR_985.mat'). A version of the full connectome that can be directly viewed and manipulated using streamline viewing/editing programs like MI-Brain... i.e., a whole-brain tractogram file comprising 11,820,000 streamlines ("dTOR_full_tractogram.trk") – is provided as well. Three voxel-resampled connectome files are also supplied...”— not found in the paper; verdict downgraded
The definitions of the data files are provided inside the article in the Data Records section, but no separate documentation object (e.g., README) is stated to accompany the data. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (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
0.500
From this paper's citation signal
Citation Network Contribution
0.145
From 10 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 20 citers.
Gouvernement du Canada | Canadian Institutes of Health Research
Grant: 164235
Gouvernement du Canada | Canadian Institutes of Health Research
Grant: 471913
Deutsche Forschungsgemeinschaft
Grant: 424778381 – TRR 295
Deutsches Zentrum für Luft- und Raumfahrt
Grant: DynaSti grant within the EU Joint Programme Neurodegenerative Disease Research, JPND
Foundation for the National Institutes of Health
Grant: R01 13478451
Foundation for the National Institutes of Health
Grant: 1R01NS127892-01
Using brain lesions and deep brain stimulation to identify an epilepsy circuit
Foundation for the National Institutes of Health
Grant: 2R01 MH113929
NIMH NIH HHS
Grant: R01 MH130666
NINDS NIH HHS
Grant: R01 NS127892
NIMH NIH HHS
Grant: R01 MH113929
Deutsche Forschungsgemeinschaft
Grant: unidentified
unidentified
National Institutes of Health
Grant: 3U54MH091657-03S1
Mapping the Human Connectome: Structure, Function, and Heritability
National Institutes of Health
Grant: 1R01MH113929-01
Using human brain connectivity to identify the causal neuroanatomical substrate of depression symptoms
RR Tasker Chair in Functional Neurosurgery at University Health Network; Tier 1 Canada Research Chair in Neuroscience
New Venture Fund
Influential Citations
3
Citation Trend
Fields of Study
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