{"doi":"10.1162/imag_a_00395","title":"Bridging Huntington’s disease research with big data science: Harmonized neuroimaging datasets from multiple studies","abstract":"Multiple neuroimaging datasets from Huntington's disease (HD) studies are publicly available, but these datasets are in various formats, omit imaging metadata, and sometimes contain corrupt scans. We have created a platform to curate, harmonize, and distribute neuroimaging datasets from eight different studies: TRACK-HD, TRACKOn-HD, PREDICT-HD, IMAGE-HD, HD-YAS, SHIELD-HD, PEARL-HD, and LONGPDE10. The platform is organized into three conceptual levels to serve the research community with both raw and processed data. Raw data are converted into Brain Imaging Data Structure (BIDS) format, while processed data are obtained from pipelines such as Freesurfer and fmriprep. Studies that had followed the same participants were combined. After combining studies, the final six BIDS datasets include a total of 2,216 participants and 7,073 sessions. We outline tools, principles, and recommendations for future data management in HD research.","journal":"Imaging Neuroscience","year":2024,"id":506869,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":0.0,"corpus_rank":10062,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.9457,"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":41.6667,"fair_percentile":54.173035768878016,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":265855,"name":"Sandhitsu R. Das","orcid":"0000-0003-0530-2887","position":1,"is_corresponding":false},{"id":1358307,"name":"Dan Rozelle","orcid":"0000-0003-4158-6717","position":2,"is_corresponding":false},{"id":284061,"name":"Hans J. Johnson","orcid":"0000-0001-9513-2660","position":3,"is_corresponding":false},{"id":1050632,"name":"Rachael I. Scahill","orcid":"0000-0002-1832-106X","position":4,"is_corresponding":false},{"id":809073,"name":"Sarah J. Tabrizi","orcid":"0000-0003-2716-2045","position":5,"is_corresponding":false},{"id":651425,"name":"Nellie Georgiou‐Karistianis","orcid":"0000-0003-0718-6760","position":6,"is_corresponding":false},{"id":92185,"name":"Cristina Sampaio","orcid":"0000-0002-7052-9079","position":7,"is_corresponding":false},{"id":418799,"name":"Andrew Wood","orcid":"0000-0001-7536-6398","position":8,"is_corresponding":false},{"id":832010,"name":"Dorian Pustina","orcid":"0000-0002-2834-7220","position":0,"is_corresponding":true}],"reference_count":46,"raw_metadata":null,"created_at":"2026-07-19T02:10:58.484528Z","pmid":"40800273","pmcid":"PMC12315745","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":50.0,"fair_a":6.25,"fair_i":100.0,"fair_r":58.3333,"fair_zscore":0.2857,"fair_rationale":{"fair_score":41.67,"has_llm":true,"taxonomy_version":"fair_taxonomy_v5","dimensions":{"F":{"name":"Findable","score":50.0,"criteria":[{"key":"f_dataset_pid","label":"Persistent identifier for the data","kind":"llm","weight":2.0,"fraction":0.5,"verdict":"partial","evidence":"The data described here can be obtained from CHDI Foundation (see https://www.enroll-hd.org/for-researchers/datasets/ ).","grounded":true,"rationale":"The paper gives a web URL, not a persistent identifier scheme (DOI, Handle, etc.).","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":0.5,"verdict":"partial","evidence":"The data described here can be obtained from CHDI Foundation (see https://www.enroll-hd.org/for-researchers/datasets/ ).","grounded":true,"rationale":"The holder is CHDI Foundation, which is not a repository listed in re3data/FAIRsharing; it is a non-repository host.","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":0.5,"verdict":"partial","evidence":"The data described here can be obtained from CHDI Foundation (see https://www.enroll-hd.org/for-researchers/datasets/ ).","grounded":true,"rationale":"The statement points to a URL but does not include a persistent identifier or accession number.","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 final outcome consists of six final BIDS datasets with combined counts of 2,216 participants and 7,073 sessions.","grounded":true,"rationale":"The dataset content is described in running prose, not in an itemised inventory (section, table, or list). [majority verdict 'partial' (4/5 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":0.5,"verdict":"partial","evidence":"The data described here can be obtained from CHDI Foundation (see https://www.enroll-hd.org/for-researchers/datasets/ ).","grounded":true,"rationale":"The dataset identifier (URL) appears only in the body text, not in the reference list.","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":6.25,"criteria":[{"key":"a_data_openly_accessible","label":"Access route free of preconditions","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":"The process requires signing data use agreements that prohibit participant reidentification, and verification of the computing systems that will hold the data (as per GDPR regulations).","grounded":false,"rationale":"The access route carries a stated precondition (signing DUA and verification), so it is not unconditional. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (4/5 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 process requires signing data use agreements that prohibit participant reidentification, and verification of the computing systems that will hold the data (as per GDPR regulations).","grounded":false,"rationale":"The paper does not apply an explicit access-level label; it describes the access process instead. [downgraded to 'no' — no verifiable quote from the paper]","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":0.5,"verdict":"partial","evidence":"The data described here can be obtained from CHDI Foundation (see https://www.enroll-hd.org/for-researchers/datasets/ ). The process requires signing data use agreements that prohibit participant reidentification, and verification of the computing systems that will hold the data (as per GDPR regulations).","grounded":false,"rationale":"The paper names an institutional gatekeeper (CHDI Foundation) with a formal Data Use Agreement process. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (4/5 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":"The paper says nothing about how long the data will persist or when they become available. [majority verdict 'no' (4/5 passes agreed)]","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":100.0,"criteria":[{"key":"i_open_nonproprietary_format","label":"Open file format","kind":"llm","weight":1.0,"fraction":1.0,"verdict":"yes","evidence":"Scans are stored in Niftii files, while their metadata are stored in corresponding JavaScript Object Notation (JSON) files.","grounded":true,"rationale":"NIfTI and JSON are open, non-proprietary formats.","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":1.0,"verdict":"yes","evidence":"Raw data are converted into Brain Imaging Data Structure (BIDS) format","grounded":true,"rationale":"BIDS is a community standard for neuroimaging data, registered in FAIRsharing. [majority verdict 'yes' (4/5 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":1.0,"verdict":"yes","evidence":"ClinicalTrials.gov ID NCT00051324","grounded":true,"rationale":"The paper includes identifiers for external resources (ClinicalTrials.gov, dbGaP).","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":58.33,"criteria":[{"key":"r_reuse_license","label":"Reuse licence","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":"The process requires signing data use agreements that prohibit participant reidentification, and verification of the computing systems that will hold the data (as per GDPR regulations).","grounded":false,"rationale":"The paper does not name an open standard license; it instead describes a Data Use Agreement (DUA), which is a named non-open license artefact. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (4/5 passes agreed)]","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":1.0,"verdict":"yes","evidence":"We processed anatomical data with Freesurfer v6 (longitudinal pipeline)","grounded":true,"rationale":"The paper names specific instruments and software versions (Freesurfer v6, fmriprep) used to produce the data. [majority verdict 'yes' (3/5 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":1.0,"verdict":"yes","evidence":"All this information is stored within the data description file provided with the dataset.","grounded":true,"rationale":"A documentation object (data description file) is provided with the dataset. [majority verdict 'yes' (4/5 passes agreed)]","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":1.0,"verdict":"yes","evidence":"export a copy of the dataset from Datalad (e.g., TRACK_bids_master-v2.0) and assign a number-tag for publication reference (e.g., DATA-00000928).","grounded":true,"rationale":"The paper states a version token and a number-tag for the dataset.","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":"The code used to organize the data, QC the results, and create phenotypic tables is provided together with each dataset.","grounded":true,"rationale":"The code is distributed with the data but not via a separate machine-resolvable locator (URL/DOI).","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":"National Institute of Health (NIH) under Grant# NS040068","grounded":true,"rationale":"The paper includes specific grant numbers.","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":"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":"no","current":0.0,"evidence":"The process requires signing data use agreements that prohibit participant reidentification, and verification of the computing systems that will hold the data (as per GDPR regulations).","why":"The access route carries a stated precondition (signing DUA and verification), so it is not unconditional. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (4/5 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":"The process requires signing data use agreements that prohibit participant reidentification, and verification of the computing systems that will hold the data (as per GDPR regulations).","why":"The paper does not name an open standard license; it instead describes a Data Use Agreement (DUA), which is a named non-open license artefact. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (4/5 passes agreed)]","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":"The data described here can be obtained from CHDI Foundation (see https://www.enroll-hd.org/for-researchers/datasets/ ).","why":"The paper gives a web URL, not a persistent identifier scheme (DOI, Handle, etc.).","gain":8.33,"priority":"essential","scored":true},{"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 neuroimaging data, deposit in OpenNeuro or NeuroVault.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"The data described here can be obtained from CHDI Foundation (see https://www.enroll-hd.org/for-researchers/datasets/ ).","why":"The holder is CHDI Foundation, which is not a repository listed in re3data/FAIRsharing; it is a non-repository host.","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":"partial","current":0.5,"evidence":"The data described here can be obtained from CHDI Foundation (see https://www.enroll-hd.org/for-researchers/datasets/ ).","why":"The dataset identifier (URL) appears only in the body text, not in the reference list.","gain":4.17,"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":"The code used to organize the data, QC the results, and create phenotypic tables is provided together with each dataset.","why":"The code is distributed with the data but not via a separate machine-resolvable locator (URL/DOI).","gain":4.17,"priority":"important","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":"partial","current":0.5,"evidence":"The data described here can be obtained from CHDI Foundation (see https://www.enroll-hd.org/for-researchers/datasets/ ).","why":"The statement points to a URL but does not include a persistent identifier or accession number.","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 final outcome consists of six final BIDS datasets with combined counts of 2,216 participants and 7,073 sessions.","why":"The dataset content is described in running prose, not in an itemised inventory (section, table, or list). [majority verdict 'partial' (4/5 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":"no","current":0.0,"evidence":"The process requires signing data use agreements that prohibit participant reidentification, and verification of the computing systems that will hold the data (as per GDPR regulations).","why":"The paper does not apply an explicit access-level label; it describes the access process instead. [downgraded to 'no' — no verifiable quote from the paper]","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":"partial","current":0.5,"evidence":"The data described here can be obtained from CHDI Foundation (see https://www.enroll-hd.org/for-researchers/datasets/ ). The process requires signing data use agreements that prohibit participant reidentification, and verification of the computing systems that will hold the data (as per GDPR regulations).","why":"The paper names an institutional gatekeeper (CHDI Foundation) with a formal Data Use Agreement process. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (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":null,"why":"The paper says nothing about how long the data will persist or when they become available. [majority verdict 'no' (4/5 passes agreed)]","gain":0.0,"priority":"useful","scored":false}],"suggestions":["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.","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.","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 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."],"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":"2026-07-20T14:03:18.067474Z","clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}