{"doi":"10.1038/s41593-024-01596-5","title":"A precision functional atlas of personalized network topography and probabilities","abstract":"Although the general location of functional neural networks is similar across individuals, there is vast person-to-person topographic variability. To capture this, we implemented precision brain mapping functional magnetic resonance imaging methods to establish an open-source, method-flexible set of precision functional network atlases-the Masonic Institute for the Developing Brain (MIDB) Precision Brain Atlas. This atlas is an evolving resource comprising 53,273 individual-specific network maps, from more than 9,900 individuals, across ages and cohorts, including the Adolescent Brain Cognitive Development study, the Developmental Human Connectome Project and others. We also generated probabilistic network maps across multiple ages and integration zones (using a new overlapping mapping technique, Overlapping MultiNetwork Imaging). Using regions of high network invariance improved the reproducibility of executive function statistical maps in brain-wide associations compared to group average-based parcellations. Finally, we provide a potential use case for probabilistic maps for targeted neuromodulation. The atlas is expandable to alternative datasets with an online interface encouraging the scientific community to explore and contribute to understanding the human brain function more precisely.","journal":"Nature Neuroscience","year":2024,"id":417227,"datarank":1.155024212555619,"base_score":4.343805421853684,"endowment":4.343805421853684,"self_citation_contribution":0.6515708132780527,"citation_network_contribution":0.5034533992775662,"self_endowment_contribution":0.6515708132780527,"citer_contribution":0.5034533992775662,"corpus_percentile":82.21551790825404,"corpus_rank":2300,"citation_count":76,"citer_count":58,"citers_with_citation_signal":30,"citers_with_endowment":30,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.9273,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":33.3333,"fair_percentile":47.93641088352186,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":426948,"name":"Lucille A. Moore","orcid":"0000-0002-7665-2713","position":1,"is_corresponding":false},{"id":266099,"name":"Eric Feczko","orcid":"0000-0003-1337-5517","position":2,"is_corresponding":false},{"id":271860,"name":"Óscar Miranda-Domínguez","orcid":"0000-0002-3622-0166","position":3,"is_corresponding":false},{"id":285908,"name":"Adam Pines","orcid":"0000-0001-9740-3196","position":4,"is_corresponding":false},{"id":273133,"name":"Ally Dworetsky","orcid":null,"position":5,"is_corresponding":false},{"id":986895,"name":"Gregory M. Conan","orcid":null,"position":6,"is_corresponding":false},{"id":353043,"name":"Michael A. Mooney","orcid":"0000-0003-1372-8722","position":7,"is_corresponding":false},{"id":985505,"name":"Anita Randolph","orcid":"0000-0002-5615-6042","position":8,"is_corresponding":false},{"id":316663,"name":"Alice M. Graham","orcid":"0000-0002-1416-1193","position":9,"is_corresponding":false},{"id":248173,"name":"Babatunde Adeyemo","orcid":null,"position":10,"is_corresponding":false},{"id":243228,"name":"Eric Earl","orcid":"0000-0001-5512-0083","position":11,"is_corresponding":false},{"id":333982,"name":"Anders Perrone","orcid":"0000-0003-4376-8047","position":12,"is_corresponding":false},{"id":985506,"name":"Cristian Morales Carrasco","orcid":"0000-0002-7248-0176","position":13,"is_corresponding":false},{"id":986057,"name":"Johnny Uriarte-Lopez","orcid":null,"position":14,"is_corresponding":false},{"id":551103,"name":"Kathy Snider","orcid":null,"position":15,"is_corresponding":false},{"id":347446,"name":"Olivia Doyle","orcid":"0000-0003-3957-2949","position":16,"is_corresponding":false},{"id":347444,"name":"Michaela Cordova","orcid":"0000-0002-6860-5159","position":17,"is_corresponding":false},{"id":1202734,"name":"Sanju Koirala","orcid":"0000-0001-8844-4586","position":18,"is_corresponding":false},{"id":811695,"name":"Gracie Grimsrud","orcid":"0000-0001-7167-4289","position":19,"is_corresponding":false},{"id":798927,"name":"Nora Byington","orcid":"0000-0002-7613-0165","position":20,"is_corresponding":false},{"id":248837,"name":"Steven M. Nelson","orcid":null,"position":21,"is_corresponding":false},{"id":247481,"name":"Caterina Gratton","orcid":"0000-0003-4607-7401","position":22,"is_corresponding":false},{"id":32642,"name":"Steven E. Petersen","orcid":"0000-0002-8911-3639","position":23,"is_corresponding":false},{"id":333983,"name":"Sarah W. Feldstein Ewing","orcid":"0000-0002-9120-9306","position":24,"is_corresponding":false},{"id":528761,"name":"Bonnie J. Nagel","orcid":"0000-0001-6339-7453","position":25,"is_corresponding":false},{"id":244883,"name":"Nico U.F. Dosenbach","orcid":"0000-0002-6876-7078","position":26,"is_corresponding":false},{"id":230040,"name":"Theodore D. Satterthwaite","orcid":"0000-0001-7072-9399","position":27,"is_corresponding":false},{"id":235292,"name":"Damien A. Fair","orcid":"0000-0001-8602-393X","position":28,"is_corresponding":false},{"id":403069,"name":"Robert Hermosillo","orcid":"0000-0003-2959-8483","position":0,"is_corresponding":true}],"reference_count":141,"raw_metadata":null,"created_at":"2026-07-19T01:56:50.743370Z","pmid":"38532024","pmcid":"PMC11089006","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":55.5556,"fair_a":37.5,"fair_i":40.0,"fair_r":0.0,"fair_zscore":-0.0442,"fair_rationale":{"fair_score":33.33,"has_llm":true,"taxonomy_version":"fair_taxonomy_v5","dimensions":{"F":{"name":"Findable","score":55.56,"criteria":[{"key":"f_dataset_pid","label":"Persistent identifier for the data","kind":"llm","weight":2.0,"fraction":0.5,"verdict":"partial","evidence":"https://midbatlas.io","grounded":true,"rationale":"The paper gives a web address (URL) for the data, not a persistent identifier scheme like DOI or Handle. [majority verdict 'partial' (3/4 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":1.0,"verdict":"yes","evidence":"National Institute of Mental Health (NIMH) Data Archive (NDA)","grounded":true,"rationale":"The paper names the NIMH Data Archive (NDA), a curated repository listed in re3data, as the holder of the data. [majority verdict 'yes' (3/4 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":1.0,"verdict":"yes","evidence":"All individual-specific maps for ABCD will be downloadable through the NDA (https://nda.nih.gov/) or newly associated platforms, which will be updated via the ABCC information page (https://collection3165.readthedocs.io/).","grounded":true,"rationale":"The data availability statement points to a repository record (NDA) with a URL, matching Colavizza category 3. [majority verdict 'yes' (2/4 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":0.0,"verdict":"no","evidence":"The MIDB Precision Brain Atlas is an evolving resource comprising 53,273 individual-specific network maps, from more than 9,900 individuals, across ages and cohorts, including the Adolescent Brain Cognitive Development study, the Developmental Human Connectome Project and others.","grounded":false,"rationale":"The dataset's content is described in a single prose sentence, not in an itemised inventory (section, table, or list). [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/4 passes agreed)]","anchors":["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'"],"scored":false,"signal":null},{"key":"f_dataset_cited","label":"Dataset formally cited","kind":"llm","weight":1.0,"fraction":0.0,"verdict":"no","evidence":"The MIDB Precision Brain Atlas includes an online tool (https://midbatlas.io) with publicly available personalized MRI maps, probabilistic maps and integration zones for various methods and datasets described here and elsewhere.","grounded":false,"rationale":"The dataset identifier appears only in body text, not as a reference-list entry. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (2/4 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":37.5,"criteria":[{"key":"a_data_openly_accessible","label":"Access route free of preconditions","kind":"llm","weight":2.0,"fraction":0.5,"verdict":"partial","evidence":"The MIDB Precision Brain Atlas includes an online tool (https://midbatlas.io) with publicly available personalized MRI maps, probabilistic maps and integration zones for various methods and datasets described here and elsewhere.","grounded":false,"rationale":"The data are stated to be publicly available with no precondition. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/4 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":0.5,"verdict":"partial","evidence":"The MIDB Precision Brain Atlas includes an online tool (https://midbatlas.io) with publicly available personalized MRI maps, probabilistic maps and integration zones for various methods and datasets described here and elsewhere.","grounded":false,"rationale":"The paper explicitly labels the data as 'publicly available'. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (2/4 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":"All individual-specific maps for ABCD will be downloadable through the NDA (https://nda.nih.gov/) or newly associated platforms, which will be updated via the ABCC information page (https://collection3165.readthedocs.io/).","grounded":true,"rationale":"The paper states the data are downloadable through the NDA, but does not name any institutional gatekeeper or committee; the repository is named but not as a gatekeeper, and no access procedure is described. Hence, no gatekeeper is named. [majority verdict 'no' (3/4 passes agreed)]","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":null,"grounded":false,"rationale":"No sentence in the paper states how long the data will be retained or when they become available; the atlas is described as an evolving resource but without a temporal commitment.","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":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No file format is named for the released data; the paper only mentions 'surface and volume' without specifying a format.","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":0.5,"verdict":"partial","evidence":"BIDS format","grounded":false,"rationale":"The paper states that contributions to the atlas must use the BIDS format, a community standard registered in FAIRsharing. [downgraded to 'partial' — no verifiable quote from the paper]","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":1.0,"verdict":"yes","evidence":"https://collection3165.readthedocs.io/","grounded":true,"rationale":"The paper provides a URL for the ABCC collection, which is an external resource (the ABCD data) that the study uses. [majority verdict 'yes' (3/4 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":0.0,"criteria":[{"key":"r_reuse_license","label":"Reuse licence","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"The paper does not name any licence for the data; the CC BY licence 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":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"The paper describes methods generically without naming specific instruments, software versions, or kits. [majority verdict 'no' (2/4 passes agreed)]","anchors":["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"],"scored":false,"signal":null},{"key":"r_documentation_codebook","label":"Documentation / codebook","kind":"llm","weight":1.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No documentation object (README, codebook, data dictionary) is named as accompanying the data; the paper describes the data in prose but does not ship a separate documentation file.","anchors":["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"],"scored":false,"signal":null},{"key":"r_versioning","label":"Snapshot identified","kind":"llm","weight":0.5,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No version token or date is given for the data snapshot; the atlas is described as an evolving resource without a fixed version.","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":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No code locator is provided; the paper does not mention code availability for the study's own code.","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":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No funding information or grant number is provided in the supplied text.","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":"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":"The paper does not name any licence for the data; the CC BY licence 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 neuroimaging data, deposit in OpenNeuro or NeuroVault.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"https://midbatlas.io","why":"The paper gives a web address (URL) for the data, not a persistent identifier scheme like DOI or Handle. [majority verdict 'partial' (3/4 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 neuroimaging data, deposit in OpenNeuro or NeuroVault.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"The MIDB Precision Brain Atlas includes an online tool (https://midbatlas.io) with publicly available personalized MRI maps, probabilistic maps and integration zones for various methods and datasets described here and elsewhere.","why":"The data are stated to be publicly available with no precondition. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/4 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 neuroimaging repository accession (e.g. from OpenNeuro or NeuroVault) in the reference list.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":"The MIDB Precision Brain Atlas includes an online tool (https://midbatlas.io) with publicly available personalized MRI maps, probabilistic maps and integration zones for various methods and datasets described here and elsewhere.","why":"The dataset identifier appears only in body text, not as a reference-list entry. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (2/4 passes agreed)]","gain":8.33,"priority":"important","scored":true},{"key":"i_open_nonproprietary_format","dimension":"I","label":"Open file format","action":"Release the data in an open, community-standard format (CSV/TSV, JSON, HDF5, NetCDF, FASTQ, VCF, NIfTI…) instead of — or alongside — any proprietary or instrument-native format, and name the format in the paper. A dataset that needs a €2,000 licence to open is not reusable. Prefer open neuroimaging formats such as NIfTI or BIDS.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"No file format is named for the released data; the paper only mentions 'surface and volume' without specifying a format.","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":"no","current":0.0,"evidence":null,"why":"No code locator is provided; the paper does not mention code availability for the study's own code.","gain":8.33,"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; the atlas is described as an evolving resource without a fixed version.","gain":4.17,"priority":"useful","scored":true},{"key":"x_funding_attribution","dimension":"R","label":"Funder and award number","action":"State the funder AND the award number in the paper, and put them in the dataset's FundingReference metadata. A funder name alone cannot be linked back to the award, so the funding provenance of the data is lost the moment the paper is indexed.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"No funding information or grant number is provided in the supplied text.","gain":4.17,"priority":"useful","scored":true},{"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":"no","current":0.0,"evidence":"The MIDB Precision Brain Atlas is an evolving resource comprising 53,273 individual-specific network maps, from more than 9,900 individuals, across ages and cohorts, including the Adolescent Brain Cognitive Development study, the Developmental Human Connectome Project and others.","why":"The dataset's content is described in a single prose sentence, not in an itemised inventory (section, table, or list). [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/4 passes agreed)]","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":"partial","current":0.5,"evidence":"The MIDB Precision Brain Atlas includes an online tool (https://midbatlas.io) with publicly available personalized MRI maps, probabilistic maps and integration zones for various methods and datasets described here and elsewhere.","why":"The paper explicitly labels the data as 'publicly available'. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (2/4 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 neuroimaging, describe the data with BIDS, NIfTI or DICOM.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"BIDS format","why":"The paper states that contributions to the atlas must use the BIDS format, a community standard registered in FAIRsharing. [downgraded to 'partial' — no verifiable quote from the paper]","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":"no","current":0.0,"evidence":null,"why":"The paper describes methods generically without naming specific instruments, software versions, or kits. [majority verdict 'no' (2/4 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":"no","current":0.0,"evidence":null,"why":"No documentation object (README, codebook, data dictionary) is named as accompanying the data; the paper describes the data in prose but does not ship a separate documentation file.","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":"All individual-specific maps for ABCD will be downloadable through the NDA (https://nda.nih.gov/) or newly associated platforms, which will be updated via the ABCC information page (https://collection3165.readthedocs.io/).","why":"The paper states the data are downloadable through the NDA, but does not name any institutional gatekeeper or committee; the repository is named but not as a gatekeeper, and no access procedure is described. Hence, no gatekeeper is named. [majority verdict 'no' (3/4 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":null,"why":"No sentence in the paper states how long the data will be retained or when they become available; the atlas is described as an evolving resource but without a temporal commitment.","gain":0.0,"priority":"useful","scored":false}],"suggestions":["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 neuroimaging data, deposit in OpenNeuro or NeuroVault.","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 neuroimaging data, deposit in OpenNeuro or NeuroVault.","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 neuroimaging repository accession (e.g. from OpenNeuro or NeuroVault) in the reference list.","Release the data in an open, community-standard format (CSV/TSV, JSON, HDF5, NetCDF, FASTQ, VCF, NIfTI…) instead of — or alongside — any proprietary or instrument-native format, and name the format in the paper. A dataset that needs a €2,000 licence to open is not reusable. Prefer open neuroimaging formats such as NIfTI or BIDS."],"model":"deepseek/deepseek-v4-flash","agent_version":"fair_agent_v8","fulltext_source":"unpaywall_pdf"},"fair_model":"deepseek/deepseek-v4-flash","fair_agent_version":"fair_agent_v8","fair_fulltext_source":"unpaywall_pdf","fair_has_llm":true,"fair_computed_at":"2026-07-20T11:11:51.056020Z","clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}