THINGS-data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior is a dataset published in eLife (2023). On theSindex it has a DataRank of 2.7, placing it in the top 8.2% of the data-sharing corpus. It has been cited 157 times, with 100 citing works in its 1-hop citation network. Its calibrated FAIR score is 56/100.
Ranks in the top 8% 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.
“https://doi.org/10.18112/openneuro.ds004192.v1.0.5”
The paper gives DOIs for the datasets, which are persistent identifiers in the DOI scheme. [majority verdict 'yes' (3/5 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'
“We provide the raw MRI ... datasets in BIDS format on OpenNeuro”— not found in the paper; verdict downgraded
OpenNeuro is a named data repository (listed in re3data/FAIRsharing) that holds the study's data. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (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
“Hebart MN, Contier O, Teichmann L, Rockter AH, Zheng CY, Kidder A, Corriveau A, Vaziri-Pashkam M, Baker CI. 2022. THINGS-fMRI. OpenNeuro.”
The dataset appears as a reference-list entry in the Associated Data Citations section, which is a bibliographic entry for the data. [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
“All parts of the THINGS-data collection are freely available on scientific data repositories. We provide the raw MRI ( https://doi.org/10.18112/openneuro.ds004192.v1.0.5 ) and raw MEG ( https://doi.org/10.18112/openneuro.ds004212.v2.0.0 ) datasets in BIDS format on OpenNeuro ( Markiewicz et al., 2021 ). In addition to these raw datasets, we provide the raw and preprocessed MEG data as well as the raw and derivative MRI data on Figshare ( Thelwall and Kousha, 2016 ) at https://doi.org/10.25452/figshare.plus.c.6161151 . The behavioral triplet odd-one-out dataset can be accessed on OSF ( https://osf.io/f5rn6/ ).”— not found in the paper; verdict downgraded
The data availability statement points to multiple repository records with DOIs and accessions, which is Colavizza category 3. [downgraded to 'partial' — no verifiable quote from the paper]
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
“THINGS-data comprises MEG, fMRI and behavioral responses to large samples of object images taken from the THINGS database.”
The dataset's content and extent are described in running prose only, without an itemised inventory (section, table, or list) of files or variables.
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'
“All parts of the THINGS-data collection are freely available on scientific data repositories.”
The paper states that the data are freely available with no stated precondition (no embargo, registration, or application required).
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
“All parts of the THINGS-data collection are freely available on scientific data repositories.”
The paper states that the data are 'freely available', which is a synonym for 'open access' and thus an explicit access-level label.
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 research was approved by the NIH Institutional Review Board as part of the study protocol 93 M-0170 ( NCT00001360 ).”
The paper mentions IRB approval, but does not name any gatekeeper for access to the data; the data are openly available without restriction.
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
“All parts of the THINGS-data collection are freely available on scientific data repositories.”
The paper indicates that the data are available now, but does not specify how long they will persist, so it is an availability-timing statement only. [majority verdict 'partial' (3/5 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'
“BIDS format”— not found in the paper; verdict downgraded
BIDS is a specification, not a file format; the paper does not name an open file format (e.g., NIfTI, FIF, CSV) for the released data. [majority verdict 'no' (3/5 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
“datasets in BIDS format ( Gorgolewski et al., 2016 )”
BIDS is a community data standard registered in FAIRsharing. [majority verdict 'yes' (3/5 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'
The paper does not provide any identifier (DOI, accession, RRID, etc.) for an external resource that the data depend on or derive from.
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'
“The work is made available under the Creative Commons CC0 public domain dedication.”— not found in the paper; verdict downgraded
The CC0 license is stated for the article, not explicitly for the data; the data availability statement does not mention a license for the data. [majority verdict 'no' (4/5 passes agreed)]
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'
“ds004192.v1.0.5”
The dataset identifier includes a version token (v1.0.5) in the DOI, which specifies the snapshot of the data.
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 contain a code availability statement or any locator for the study's own code in the provided text.
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 Institute of Mental Health, National Institutes of Health”
A funder (NIMH) is named but no award/grant number is provided. [majority verdict 'partial' (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
“3 Tesla Siemens Magnetom Prisma scanner”
The paper names the specific instrument (Siemens Magnetom Prisma scanner) used to acquire the fMRI data.
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
“The MEG data derivatives include preprocessed and epoched data that are compatible with MNE-python and CoSMoMVPA in MATLAB. The MRI data derivatives include single trial response estimates, category-selective and retinotopic regions of interest, cortical flatmaps, independent component based noise regressors, voxel-wise noise ceilings, and estimates of subject specific retinotopic parameters.”
The paper lists what is included in the deposits but does not name a dedicated documentation object (README, codebook, schema) that travels with the data; the definitions are inside the article. [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
0.759
From this paper's citation signal
Citation Network Contribution
1.9
From 78 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 100 citers.
National Institutes of Health
Grant: ZIA-MH-002909
National Institutes of Health
Grant: ZIC-MH002968
Max-Planck-Gesellschaft
Grant: Max Planck Research Group M.TN.A.NEPF0009
European Research Council
Grant: Starting Grant StG-2021-101039712
Hessisches Ministerium für Wissenschaft und Kunst
Grant: LOEWE Start Professorship
Hessisches Ministerium für Wissenschaft und Kunst
Grant: Tha Adaptive Mind
European Research Council
Grant: 101039712
Intramural NIH HHS
Grant: ZIA MH002909
Intramural NIH HHS
Grant: ZIC MH002968
Intramural NIH HHS
Grant: Z01 MH002909
Max Planck School of Cognition
MeSH Terms
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