{"doi":"10.1155/2024/2527791","title":"Self‐Reported Diabetes in Older Adults: A Comparison of Prevalence and Related Factors in the Mexican Health and Aging Study (2015, 2018, and 2021)","abstract":"Aim: To estimate the prevalence and factors associated with diabetes among older adults and compare the prevalence rate of a three‐round national survey of the Mexican Health and Aging Study (MHAS). Methods: A cross‐sectional study was conducted with data obtained from MHAS 2015 ( n = 8167), 2018 ( n = 7854), and 2021 ( n = 8060), which comprised a nationally representative sample of older adults in Mexico. The measures included sociodemographic characteristics and health. A binary logistic regression model was used to identify the association between independent variables and self‐reported diabetes. Results: The prevalence of diabetes was 26.3%, 27.7%, and 28.1% in 2015, 2018, and 2021, respectively. This prevalence decreased with age and was higher for female, urban older adults, those with multimorbidity, a lower level of education, and without social security coverage for the three years. Age was associated with a lower possibility of presenting diabetes ([OR = 0.79[0.71–0.89]] and [OR = 0.41[0.33–0.52]] in groups aged 75–84 years and ≥85 years, respectively). Females continue to be more likely to present diabetes than males (OR = 1.39 [95% CI 1.25–1.55]). Older adults living in rural areas are 20% less likely to present diabetes than those living in urban areas (OR = 0.80 [95% CI 0.69–0.93]). Uninsured older adults (OR = 1.35 [95% CI 1.20–1.53]), those who wear glasses (OR = 1.23 [95% CI 1.16–1.30]), those with multimorbidity (OR = 1.13 [95% CI 1.01–1.27]), and those who currently drink alcohol (OR = 1.12 [95% CI 1.00–1.25]) were significantly more likely to have diabetes. Conclusion: An elevated prevalence of diabetes was found in older adults in Mexico, while not having access to social security was associated with a higher possibility of presenting diabetes and living in a rural area was associated with a lower possibility of presenting diabetes. Detection, prevention, and control programs should be implemented to reduce the incidence and severity of the disease in older adults and, thus, prevent its associated complications.","journal":"Journal of Diabetes Research","year":2024,"id":477335,"datarank":0.16479184330021646,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"self_citation_contribution":0.16479184330021646,"citation_network_contribution":0.0,"self_endowment_contribution":0.16479184330021646,"citer_contribution":0.0,"corpus_percentile":29.844511487584125,"corpus_rank":8690,"citation_count":2,"citer_count":1,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.7231,"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":1152932,"name":"Teresa Villanueva Gutiérrez","orcid":"0009-0003-1293-2489","position":1,"is_corresponding":false},{"id":1315102,"name":"Laura Bárbara Velázquez-Olmedo","orcid":"0000-0003-3380-3574","position":2,"is_corresponding":false},{"id":1152930,"name":"Álvaro García Pérez","orcid":"0000-0002-0725-4658","position":0,"is_corresponding":true}],"reference_count":33,"raw_metadata":null,"created_at":"2026-07-19T02:06:33.741984Z","pmid":"39161705","pmcid":"PMC11333132","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":75.0,"fair_i":0.0,"fair_r":16.6667,"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 that support the findings of this study are freely available from the Mexican Health and Aging Study (MHAS) at https://enasem.org/Home/Index.aspx , reference number NIH R01AG018016.","grounded":true,"rationale":"The only identifier given is a URL (https://enasem.org/Home/Index.aspx), which is not a persistent-identifier scheme (DOI, Handle, ARK, URN, or repository accession). [majority verdict 'partial' (4/5 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":0.5,"verdict":"partial","evidence":"The data that support the findings of this study are freely available from the Mexican Health and Aging Study (MHAS) at https://enasem.org/Home/Index.aspx , reference number NIH R01AG018016.","grounded":true,"rationale":"MHAS is named as the holder of the data; it is a project website, not a curated repository with a re3data listing. [majority verdict 'partial' (4/5 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":0.5,"verdict":"partial","evidence":"The data that support the findings of this study are freely available from the Mexican Health and Aging Study (MHAS) at https://enasem.org/Home/Index.aspx , reference number NIH R01AG018016.","grounded":true,"rationale":"The statement points to a website (MHAS) with a URL and a grant number, but not to a repository record with an accession or DOI. [majority verdict 'partial' (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 MHAS is a national longitudinal study of adults aged 50 years and older. The baseline evaluation was carried out in 2001 and comprises five rounds (2003, 2012, 2015, 2018, and 2021) of a nationally representative prospective study of adults born before 1951 and is representative of both urban and rural environments.","grounded":true,"rationale":"The dataset is described in running prose, not in an itemised inventory (section, table, or enumerated 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 files and documentation are available for public use at https://enasem.org/Home/index_esp.aspx .","grounded":true,"rationale":"The dataset identifier (URL) appears only in the body text (Methods and Data Availability Statement), not in the reference list. [majority verdict 'partial' (4/5 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":75.0,"criteria":[{"key":"a_data_openly_accessible","label":"Access route free of preconditions","kind":"llm","weight":2.0,"fraction":1.0,"verdict":"yes","evidence":"The data that support the findings of this study are freely available from the Mexican Health and Aging Study (MHAS) at https://enasem.org/Home/Index.aspx , reference number NIH R01AG018016.","grounded":true,"rationale":"The route is given with no precondition: the data are stated to be freely available now. [majority verdict 'yes' (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":1.0,"verdict":"yes","evidence":"The data that support the findings of this study are freely available from the Mexican Health and Aging Study (MHAS) at https://enasem.org/Home/Index.aspx , reference number NIH R01AG018016.","grounded":true,"rationale":"The data availability statement labels the data as 'freely available', which is a natural-language synonym for 'open access'. [majority verdict 'yes' (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":"The study uses human-subject data but does not deposit its own data; no gatekeeper is named.","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 states when or for how long the study's own data are 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":0.0,"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 study's own data.","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 data or metadata community standard is named for the study's own data.","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 only identifier provided is for the MHAS dataset itself, which is the paper's own data; no other resource receives an identifier. [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":16.67,"criteria":[{"key":"r_reuse_license","label":"Reuse licence","kind":"llm","weight":2.0,"fraction":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No licence is attached to the study's own data.","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 methods describe the analysis, not the production of a dataset; no named instruments or tools for the study's own data. [majority verdict 'no' (4/5 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":0.5,"verdict":"partial","evidence":"The thematic content of the MHAS survey included the following: demographic data, the number of residents of a household and children's rosters, self-reported health in various dimensions (chronic diseases, physical function, perceived global health, depression, and cognition), institutional support, life satisfaction, use of time, social support and social engagement, housing conditions, and economic aspects, such as health expenditure, health insurance coverage, pensions received or expected, income by sources, and the value of accumulated assets.","grounded":true,"rationale":"The paper defines variables inside the article (in the Methods section), but no documentation object (README, codebook, data dictionary) is said to travel with the data. [majority verdict 'partial' (3/5 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":0.5,"verdict":"partial","evidence":"The prevalence of self-reported diabetes was 26.3% (95% CI 25.3–27.2), 27.7% (95% CI 26.7–8.7), and 28.1% (95% CI 27.0–29.0) in the years 2015, 2018, and 2021, respectively.","grounded":false,"rationale":"The paper uses specific survey years (2015, 2018, 2021) as version tokens for the data snapshots. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (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":0.0,"verdict":"no","evidence":null,"grounded":false,"rationale":"No code location is provided for the study's own analysis 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":0.5,"verdict":"partial","evidence":"The MHAS is partly sponsored by the National Institute of Aging at the Unites States' National Institutes of Health and INEGI in Mexico.","grounded":true,"rationale":"A funder (NIH) is named, but no award or grant number is provided. [majority verdict 'partial' (2/5 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":"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 licence is attached to the study's own data.","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 social science data, deposit in ICPSR or the Harvard Dataverse.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"The data that support the findings of this study are freely available from the Mexican Health and Aging Study (MHAS) at https://enasem.org/Home/Index.aspx , reference number NIH R01AG018016.","why":"The only identifier given is a URL (https://enasem.org/Home/Index.aspx), which is not a persistent-identifier scheme (DOI, Handle, ARK, URN, or repository accession). [majority verdict 'partial' (4/5 passes agreed)]","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 social science data, deposit in ICPSR or the Harvard Dataverse.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"The data that support the findings of this study are freely available from the Mexican Health and Aging Study (MHAS) at https://enasem.org/Home/Index.aspx , reference number NIH R01AG018016.","why":"MHAS is named as the holder of the data; it is a project website, not a curated repository with a re3data listing. [majority verdict 'partial' (4/5 passes agreed)]","gain":8.33,"priority":"essential","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 social science formats such as CSV or SPSS/Stata with a codebook.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"No file format is named for the study's own data.","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. 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Cite the social science repository accession (e.g. from ICPSR or the Harvard Dataverse) in the reference list.","anchors":["yes","partial","no"],"verdict":"partial","current":0.5,"evidence":"The data files and documentation are available for public use at https://enasem.org/Home/index_esp.aspx .","why":"The dataset identifier (URL) appears only in the body text (Methods and Data Availability Statement), not in the reference list. [majority verdict 'partial' (4/5 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). 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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":"partial","current":0.5,"evidence":"The MHAS is partly sponsored by the National Institute of Aging at the Unites States' National Institutes of Health and INEGI in Mexico.","why":"A funder (NIH) is named, but no award or grant number is provided. [majority verdict 'partial' (2/5 passes agreed)]","gain":2.08,"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":"partial","current":0.5,"evidence":"The data that support the findings of this study are freely available from the Mexican Health and Aging Study (MHAS) at https://enasem.org/Home/Index.aspx , reference number NIH R01AG018016.","why":"The statement points to a website (MHAS) with a URL and a grant number, but not to a repository record with an accession or DOI. [majority verdict 'partial' (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 MHAS is a national longitudinal study of adults aged 50 years and older. The baseline evaluation was carried out in 2001 and comprises five rounds (2003, 2012, 2015, 2018, and 2021) of a nationally representative prospective study of adults born before 1951 and is representative of both urban and rural environments.","why":"The dataset is described in running prose, not in an itemised inventory (section, table, or enumerated list). [majority verdict 'partial' (4/5 passes agreed)]","gain":0.0,"priority":"essential","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 social science, describe the data with DDI.","anchors":["yes","partial","no"],"verdict":"no","current":0.0,"evidence":null,"why":"No data or metadata community standard is named for the study's own data.","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 methods describe the analysis, not the production of a dataset; no named instruments or tools for the study's own data. [majority verdict 'no' (4/5 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":"The thematic content of the MHAS survey included the following: demographic data, the number of residents of a household and children's rosters, self-reported health in various dimensions (chronic diseases, physical function, perceived global health, depression, and cognition), institutional support, life satisfaction, use of time, social support and social engagement, housing conditions, and economic aspects, such as health expenditure, health insurance coverage, pensions received or expected, income by sources, and the value of accumulated assets.","why":"The paper defines variables inside the article (in the Methods section), but no documentation object (README, codebook, data dictionary) is said to travel with the data. [majority verdict 'partial' (3/5 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":"The study uses human-subject data but does not deposit its own data; no gatekeeper is named.","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 only identifier provided is for the MHAS dataset itself, which is the paper's own data; no other resource receives an identifier. [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":null,"why":"No sentence states when or for how long the study's own data are available. [majority verdict 'no' (4/5 passes agreed)]","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 social science data, deposit in ICPSR or the Harvard Dataverse.","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 social science data, deposit in ICPSR or the Harvard Dataverse.","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 social science formats such as CSV or SPSS/Stata with a codebook.","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)."],"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":"2026-07-20T13:28:08.658676Z","clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}