{"doi":"10.3389/fnsys.2022.787737","title":"Topological Maps and Brain Computations From Low to High","abstract":"We first briefly summarize data from microelectrode studies on visual maps in non-human primates and other mammals, and characterize differences among the features of the approximately topological maps in the three main sensory modalities. We then explore the almost 50% of human neocortex that contains straightforward topological visual, auditory, and somatomotor maps by presenting a new parcellation as well as a movie atlas of cortical area maps on the FreeSurfer average surface, fsaverage . Third, we review data on moveable map phenomena as well as a recent study showing that cortical activity during sensorimotor actions may involve spatially locally coherent traveling wave and bump activity. Finally, by analogy with remapping phenomena and sensorimotor activity, we speculate briefly on the testable possibility that coherent localized spatial activity patterns might be able to ‘escape’ from topologically mapped cortex during ‘serial assembly of content’ operations such as scene and language comprehension, to form composite ‘molecular’ patterns that can move across some cortical areas and possibly return to topologically mapped cortex to generate motor output there.","journal":"Frontiers in Systems Neuroscience","year":2022,"id":246668,"datarank":1.0902601871112538,"base_score":3.6375861597263857,"endowment":3.6375861597263857,"self_citation_contribution":0.5456379239589579,"citation_network_contribution":0.5446222631522959,"self_endowment_contribution":0.5456379239589579,"citer_contribution":0.5446222631522959,"corpus_percentile":81.35685000386788,"corpus_rank":2411,"citation_count":37,"citer_count":34,"citers_with_citation_signal":23,"citers_with_endowment":23,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.8309,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":33.3333,"fair_percentile":47.93641088352186,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":883342,"name":"Mariam Reeny Sood","orcid":"0000-0003-0429-1979","position":1,"is_corresponding":false},{"id":883343,"name":"Ruey‐Song Huang","orcid":"0000-0003-0385-9358","position":2,"is_corresponding":false},{"id":86661,"name":"Martin I. Sereno","orcid":"0000-0002-7598-7829","position":0,"is_corresponding":true}],"reference_count":152,"raw_metadata":null,"created_at":"2026-07-19T00:23:48.622830Z","pmid":"35747394","pmcid":"PMC9210993","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":22.2222,"fair_a":25.0,"fair_i":40.0,"fair_r":33.3333,"fair_zscore":-0.0442,"fair_rationale":{"fair_score":33.33,"has_llm":true,"taxonomy_version":"fair_taxonomy_v5","dimensions":{"F":{"name":"Findable","score":22.22,"criteria":[{"key":"f_dataset_pid","label":"Persistent identifier for the data","kind":"llm","weight":2.0,"fraction":0.5,"verdict":"partial","evidence":"https://cogsci.ucsd.edu/~sereno/csurf/fsaverage-labels","grounded":true,"rationale":"The paper provides web addresses (URLs) for the data, not a persistent identifier such as a DOI or repository accession. [majority verdict 'partial' (3/5 passes agreed)]","anchors":["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'"],"scored":true,"signal":null},{"key":"f_repository_named","label":"Named repository","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":"The datasets presented in this study can be found in online repositories here: https://cogsci.ucsd.edu/~sereno/csurf/fsaverage-labels and https://mri.sdsu.edu/sereno/csurf/fsaverage-labels.","grounded":false,"rationale":"The holder is named only as a URL, not a dedicated repository. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/5 passes agreed)]","anchors":["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"],"scored":true,"signal":null},{"key":"f_data_availability_statement","label":"Data-availability statement","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":"The datasets presented in this study can be found in online repositories here: https://cogsci.ucsd.edu/~sereno/csurf/fsaverage-labels and https://mri.sdsu.edu/sereno/csurf/fsaverage-labels.","grounded":false,"rationale":"The statement points to a URL, not a repository record with an accession or DOI. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/5 passes agreed)]","anchors":["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"],"scored":false,"signal":null},{"key":"f_discovery_metadata","label":"Description of the dataset as an object","kind":"llm","weight":2.0,"fraction":0.5,"verdict":"partial","evidence":"The collections of individual labels for each modality were then assembled into a parcellation of the entire neocortex of each hemisphere, and presented as FreeSurfer 'annotation' files (rh-CsurfMaps1.annot, lh-CsurfMaps1.annot) for the right and left hemisphere FreeSurfer average surfaces (subject fsaverage).","grounded":false,"rationale":"The dataset is described in a structured section with file names enumerated. 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[downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/5 passes agreed)]","anchors":["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'"],"scored":true,"signal":null}]},"A":{"name":"Accessible","score":25.0,"criteria":[{"key":"a_data_openly_accessible","label":"Access route free of preconditions","kind":"llm","weight":2.0,"fraction":0.5,"verdict":"partial","evidence":"The datasets presented in this study can be found in online repositories here: https://cogsci.ucsd.edu/~sereno/csurf/fsaverage-labels and https://mri.sdsu.edu/sereno/csurf/fsaverage-labels.","grounded":false,"rationale":"The data are offered at public URLs without any stated precondition. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/5 passes agreed)]","anchors":["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'"],"scored":true,"signal":null},{"key":"a_access_conditions_stated","label":"Access level labelled","kind":"llm","weight":1.0,"fraction":0.0,"verdict":"no","evidence":"The datasets presented in this study can be found in online repositories here: https://cogsci.ucsd.edu/~sereno/csurf/fsaverage-labels and https://mri.sdsu.edu/sereno/csurf/fsaverage-labels.","grounded":false,"rationale":"No label is applied, but the actionable download path is described. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (4/5 passes agreed)]","anchors":["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"],"scored":false,"signal":null},{"key":"a_controlled_access_for_sensitive","label":"Gatekeeper for sensitive data","kind":"llm","weight":0.5,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No gatekeeper is named; the data are openly accessible with no restriction.","anchors":["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"],"scored":false,"signal":null},{"key":"a_timeline_retention","label":"Availability timing & retention","kind":"llm","weight":0.5,"fraction":0.0,"verdict":"no","evidence":"The datasets presented in this study can be found in online repositories here: https://cogsci.ucsd.edu/~sereno/csurf/fsaverage-labels and https://mri.sdsu.edu/sereno/csurf/fsaverage-labels.","grounded":false,"rationale":"The data are stated to be available now, but no retention period is mentioned. [downgraded to 'no' — no verifiable quote from the paper]","anchors":["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'"],"scored":false,"signal":null}]},"I":{"name":"Interoperable","score":40.0,"criteria":[{"key":"i_open_nonproprietary_format","label":"Open file format","kind":"llm","weight":1.0,"fraction":1.0,"verdict":"yes","evidence":"GIFTI xml files (*.label.gii suffix)","grounded":true,"rationale":"GIFTI is an open, community-standard format for surface data, and the paper explicitly names it. [majority verdict 'yes' (3/5 passes agreed)]","anchors":["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"],"scored":true,"signal":null},{"key":"i_community_standard_vocabulary","label":"Community standard / vocabulary","kind":"llm","weight":1.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No community data or metadata standard (e.g., BIDS, MINI) is named for the data. [majority verdict 'no' (3/5 passes agreed)]","anchors":["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'"],"scored":false,"signal":null},{"key":"i_qualified_references","label":"Identifiers for the resources the data depend on","kind":"llm","weight":0.5,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"The paper provides URLs for the code (csurf, mapper) used in the study, which are identifiers for resources other than the dataset. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (4/5 passes agreed)]","anchors":["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'"],"scored":false,"signal":null}]},"R":{"name":"Reusable","score":33.33,"criteria":[{"key":"r_reuse_license","label":"Reuse licence","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No license is stated for the data; the CC BY license applies only to the article.","anchors":["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'"],"scored":true,"signal":null},{"key":"r_provenance_methods","label":"Provenance of the data","kind":"llm","weight":1.0,"fraction":0.5,"verdict":"partial","evidence":"Individual cortical surfaces were first reconstructed from the average of two T1-weighted scans (MP-RAGE, 1 mm × 1 mm × 1 mm, flip = 7 deg, TI = 1,000 ms, TR = 8.4 ms, TE = 3.57 ms) using FreeSurfer 5.3.","grounded":false,"rationale":"The paper names specific software and acquisition parameters. 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[majority verdict 'no' (3/5 passes agreed)]","anchors":["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'"],"scored":true,"signal":null},{"key":"x_code_availability","label":"Analysis code available","kind":"llm","weight":1.0,"fraction":0.5,"verdict":"partial","evidence":null,"grounded":false,"rationale":"A machine-resolvable URL for the code (csurf distribution) is provided. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (2/5 passes agreed)]","anchors":["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)"],"scored":true,"signal":null},{"key":"x_funding_attribution","label":"Funder and award number","kind":"llm","weight":0.5,"fraction":1.0,"verdict":"yes","evidence":"Funding This research was supported by NIH MH47035 (microelectrode retinotopic mapping); NSF BCS 0224321 (fMRI visual mapping); NIH Grant R01 MH081990 (fMRI multisensory mapping); and UK Royal Society Wolfson Fellowship (fMRI auditory mapping, theory).","grounded":true,"rationale":"The paper lists specific grant numbers. [majority verdict 'yes' (4/5 passes agreed)]","anchors":["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"],"scored":true,"signal":null}]}},"actions":[{"key":"f_repository_named","dimension":"F","label":"Named repository","action":"Deposit the data in a repository registered in re3data/FAIRsharing (a domain repository such as GEO, SRA, dbGaP, PRIDE, or a generalist such as Zenodo, Dryad, Dataverse) and name it explicitly in the paper. A lab website is not an archive: it has no retention commitment and no accession. For chemistry / materials data, deposit in Zenodo, PubChem or the Cambridge Structural Database (CSD).","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":"The datasets presented in this study can be found in online repositories here: https://cogsci.ucsd.edu/~sereno/csurf/fsaverage-labels and https://mri.sdsu.edu/sereno/csurf/fsaverage-labels.","why":"The holder is named only as a URL, not a dedicated repository. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/5 passes agreed)]","gain":16.67,"priority":"essential","scored":true},{"key":"r_reuse_license","dimension":"R","label":"Reuse licence","action":"Attach a standard, machine-readable open licence to the deposit — CC0 or CC BY, which is what Horizon Europe and most funders expect — and print the licence identifier in the paper. 'Free to use' is not a licence: it grants nothing a reuser's institution can rely on.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"No license is stated for the data; the CC BY license applies only to the article.","gain":16.67,"priority":"essential","scored":true},{"key":"f_dataset_pid","dimension":"F","label":"Persistent identifier for the data","action":"Mint or cite a persistent identifier for the dataset — a repository DOI or an accession from a registered repository — and print it in the paper. A bare URL is not persistent: it is the single most common cause of a dead data link five years after publication. For chemistry / materials data, deposit in Zenodo, PubChem or the Cambridge Structural Database (CSD).","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"https://cogsci.ucsd.edu/~sereno/csurf/fsaverage-labels","why":"The paper provides web addresses (URLs) for the data, not a persistent identifier such as a DOI or repository accession. [majority verdict 'partial' (3/5 passes agreed)]","gain":8.33,"priority":"essential","scored":true},{"key":"a_data_openly_accessible","dimension":"A","label":"Access route free of preconditions","action":"Remove the precondition or justify it. Release the data at publication with no embargo, no registration wall, and no approval step — NIH's zero-embargo public- access rule (NOT-OD-25-101) has already made 'available at publication' the federal baseline for the article; the data should not lag behind it. For chemistry / materials data, deposit in Zenodo, PubChem or the Cambridge Structural Database (CSD).","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"The datasets presented in this study can be found in online repositories here: https://cogsci.ucsd.edu/~sereno/csurf/fsaverage-labels and https://mri.sdsu.edu/sereno/csurf/fsaverage-labels.","why":"The data are offered at public URLs without any stated precondition. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/5 passes agreed)]","gain":8.33,"priority":"essential","scored":true},{"key":"f_dataset_cited","dimension":"F","label":"Dataset formally cited","action":"Cite the dataset in the reference list like a publication — creator, year, title, repository, DOI/accession — and cite it in-text where it is used. Only a reference- list entry is machine-readable to Crossref/DataCite, and only a citation lets the data earn credit. Cite the chemistry / materials repository accession (e.g. from Zenodo, PubChem or the Cambridge Structural Database (CSD)) in the reference list.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":"The datasets presented in this study can be found in online repositories here: https://cogsci.ucsd.edu/~sereno/csurf/fsaverage-labels and https://mri.sdsu.edu/sereno/csurf/fsaverage-labels.","why":"The dataset identifier appears only in the body text, not in the reference list. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/5 passes agreed)]","gain":8.33,"priority":"important","scored":true},{"key":"x_code_availability","dimension":"R","label":"Analysis code available","action":"Publish the analysis code in a public forge, archive a tagged release with a DOI (Zenodo/Software Heritage), and cite that DOI in the paper. NIH DMS Element 2 asks for the tools and code, not only the data — and 'available on request' is not a locator. Archive the analysis code in a versioned repository (GitHub + a Zenodo release DOI).","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":null,"why":"A machine-resolvable URL for the code (csurf distribution) is provided. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (2/5 passes agreed)]","gain":4.17,"priority":"important","scored":true},{"key":"r_versioning","dimension":"R","label":"Snapshot identified","action":"Version the deposit and cite the exact version analysed (a version-specific DOI, or an accession with its version suffix). A reader reproducing your work against 'the current release' is reproducing it against a different dataset.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"No version token or date is given for the data snapshot. [majority verdict 'no' (3/5 passes agreed)]","gain":4.17,"priority":"useful","scored":true},{"key":"f_data_availability_statement","dimension":"F","label":"Data-availability statement","action":"Replace the statement with the repository template: name the repository and give the accession or DOI (Colavizza category 3). This is the only DAS class associated with a measured citation advantage; 'available on reasonable request' and 'within the article' are not.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":"The datasets presented in this study can be found in online repositories here: https://cogsci.ucsd.edu/~sereno/csurf/fsaverage-labels and https://mri.sdsu.edu/sereno/csurf/fsaverage-labels.","why":"The statement points to a URL, not a repository record with an accession or DOI. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/5 passes agreed)]","gain":0.0,"priority":"essential","scored":false},{"key":"f_discovery_metadata","dimension":"F","label":"Description of the dataset as an object","action":"Add a 'Data Records' section: itemise every file in the deposit and every variable or sample it holds, with counts and units. Describe the dataset as an object in its own right, not as a by-product of the findings — this is what makes it discoverable to someone who is not looking for your paper.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"The collections of individual labels for each modality were then assembled into a parcellation of the entire neocortex of each hemisphere, and presented as FreeSurfer 'annotation' files (rh-CsurfMaps1.annot, lh-CsurfMaps1.annot) for the right and left hemisphere FreeSurfer average surfaces (subject fsaverage).","why":"The dataset is described in a structured section with file names enumerated. [downgraded to 'partial' — no verifiable quote from the paper]","gain":0.0,"priority":"essential","scored":false},{"key":"a_access_conditions_stated","dimension":"A","label":"Access level labelled","action":"State the access level in words, using the standard vocabulary: 'These data are open access' / 'These data are controlled access'. A reader — and a harvester — should not have to infer the access level from the presence of a download link.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":"The datasets presented in this study can be found in online repositories here: https://cogsci.ucsd.edu/~sereno/csurf/fsaverage-labels and https://mri.sdsu.edu/sereno/csurf/fsaverage-labels.","why":"No label is applied, but the actionable download path is described. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (4/5 passes agreed)]","gain":0.0,"priority":"important","scored":false},{"key":"i_community_standard_vocabulary","dimension":"I","label":"Community standard / vocabulary","action":"Adopt and NAME your domain's data standard — the minimum-information checklist, metadata schema, or ontology your community uses (MIAME/MINSEQE, ISA-Tab, BIDS, an OBO ontology, HL7 FHIR/OMOP) — and say which one you followed. A reporting checklist standardises your paper; it does nothing for your data. In chemistry / materials, describe the data with InChI, CIF or SMILES.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"No community data or metadata standard (e.g., BIDS, MINI) is named for the data. [majority verdict 'no' (3/5 passes agreed)]","gain":0.0,"priority":"important","scored":false},{"key":"r_provenance_methods","dimension":"R","label":"Provenance of the data","action":"Name the instruments, kits, and software — with versions — that produced the data, not just the verbs. 'Reads were aligned' is not provenance; 'aligned with STAR v2.7.9a to GRCh38' is, because someone else can rerun it.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"Individual cortical surfaces were first reconstructed from the average of two T1-weighted scans (MP-RAGE, 1 mm × 1 mm × 1 mm, flip = 7 deg, TI = 1,000 ms, TR = 8.4 ms, TE = 3.57 ms) using FreeSurfer 5.3.","why":"The paper names specific software and acquisition parameters. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/5 passes agreed)]","gain":0.0,"priority":"important","scored":false},{"key":"r_documentation_codebook","dimension":"R","label":"Documentation / codebook","action":"Ship a README and a data dictionary IN the deposit — every file, every variable, its units, its allowed values, its missing-value codes. It is the cheapest single thing that makes a dataset usable by someone who was not in the lab, and a table buried in the article does not travel with the data.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"Both annotation file types, the ASCII color table, and high resolution figure images are included in the csurf distribution above, and are also available for individual download here: https://cogsci.ucsd.edu/~sereno/csurf/fsaverage-labels/","why":"The documentation is described inside the article, not as a separate shipped file. [majority verdict 'partial' (4/5 passes agreed)]","gain":0.0,"priority":"important","scored":false},{"key":"a_controlled_access_for_sensitive","dimension":"A","label":"Gatekeeper for sensitive data","action":"Route sensitive data through an institutional gatekeeper — deposit in a controlled- access repository (dbGaP, EGA) with a Data Access Committee and a published DUA — rather than through the corresponding author's inbox. An author-gated dataset dies with the author's email address, and 'on reasonable request' has been shown repeatedly not to yield data.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"No gatekeeper is named; the data are openly accessible with no restriction.","gain":0.0,"priority":"useful","scored":false},{"key":"i_qualified_references","dimension":"I","label":"Identifiers for the resources the data depend on","action":"Cite by identifier every resource the data depend on — the source datasets' accessions, the reference build (GRCh38 / GCA_000001405.28), the cohort application number, the code DOI — and register those relations on the dataset record (IsDerivedFrom, IsSupplementTo). A name is not a link: it cannot be resolved, versioned, or followed by a machine.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"The paper provides URLs for the code (csurf, mapper) used in the study, which are identifiers for resources other than the dataset. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (4/5 passes agreed)]","gain":0.0,"priority":"useful","scored":false},{"key":"a_timeline_retention","dimension":"A","label":"Availability timing & retention","action":"State when the data become available AND how long they will be retained — cite the repository's preservation policy. NIH DMS Element 4 asks for both; most papers give neither.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":"The datasets presented in this study can be found in online repositories here: https://cogsci.ucsd.edu/~sereno/csurf/fsaverage-labels and https://mri.sdsu.edu/sereno/csurf/fsaverage-labels.","why":"The data are stated to be available now, but no retention period is mentioned. [downgraded to 'no' — no verifiable quote from the paper]","gain":0.0,"priority":"useful","scored":false}],"suggestions":["Deposit the data in a repository registered in re3data/FAIRsharing (a domain repository such as GEO, SRA, dbGaP, PRIDE, or a generalist such as Zenodo, Dryad, Dataverse) and name it explicitly in the paper. A lab website is not an archive: it has no retention commitment and no accession. For chemistry / materials data, deposit in Zenodo, PubChem or the Cambridge Structural Database (CSD).","Attach a standard, machine-readable open licence to the deposit — CC0 or CC BY, which is what Horizon Europe and most funders expect — and print the licence identifier in the paper. 'Free to use' is not a licence: it grants nothing a reuser's institution can rely on.","Mint or cite a persistent identifier for the dataset — a repository DOI or an accession from a registered repository — and print it in the paper. A bare URL is not persistent: it is the single most common cause of a dead data link five years after publication. For chemistry / materials data, deposit in Zenodo, PubChem or the Cambridge Structural Database (CSD).","Remove the precondition or justify it. Release the data at publication with no embargo, no registration wall, and no approval step — NIH's zero-embargo public- access rule (NOT-OD-25-101) has already made 'available at publication' the federal baseline for the article; the data should not lag behind it. For chemistry / materials data, deposit in Zenodo, PubChem or the Cambridge Structural Database (CSD).","Cite the dataset in the reference list like a publication — creator, year, title, repository, DOI/accession — and cite it in-text where it is used. Only a reference- list entry is machine-readable to Crossref/DataCite, and only a citation lets the data earn credit. Cite the chemistry / materials repository accession (e.g. from Zenodo, PubChem or the Cambridge Structural Database (CSD)) in the reference list."],"model":"deepseek/deepseek-v4-flash","agent_version":"fair_agent_v8","fulltext_source":"epmc_xml"},"fair_model":"deepseek/deepseek-v4-flash","fair_agent_version":"fair_agent_v8","fair_fulltext_source":"epmc_xml","fair_has_llm":true,"fair_computed_at":"2026-07-20T11:28:26.663946Z","clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}