Self‐Reported Diabetes in Older Adults: A Comparison of Prevalence and Related Factors in the Mexican Health and Aging Study (2015, 2018, and 2021) is a dataset published in Journal of Diabetes Research (2024). On theSindex it has a DataRank of 0.165, placing it in the top 70.2% of the data-sharing corpus. It has been cited 2 times, with 1 citing works in its 1-hop citation network. Its calibrated FAIR score is 42/100.
Ranks in the top 70% for downstream scientific impact
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Full FAIR picture · advisory
The headline score is computed from the scored criteria — the fact-shaped checks (a repository, an accession, a licence) that two independent models agree on. The advisory criteria below are real FAIR guidance but rest on judgment calls that models read differently, so they inform without moving the number.
“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.”
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)]
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'
“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.”
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)]
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
“The data files and documentation are available for public use at https://enasem.org/Home/index_esp.aspx .”
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)]
FORCE11 Joint Declaration of Data Citation Principles (2014) — data should be cited as a first- · RDA-F3-01M — metadata clearly and explicitly includes the identifier of the data it describes · FsF-F3-01M — F-UJI: 'Metadata includes the identifier of the data it describes'
Advisory · not in the published score
“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.”
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)]
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
“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.”
The dataset is described in running prose, not in an itemised inventory (section, table, or enumerated list). [majority verdict 'partial' (4/5 passes agreed)]
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'
“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.”
The route is given with no precondition: the data are stated to be freely available now. [majority verdict 'yes' (4/5 passes agreed)]
RDA-A1.1-01D — 'Data is accessible through a free access protocol' · FsF-A1-01M — F-UJI: 'Metadata contains access level and access conditions of the data' · NSTC Desirable Characteristics of Data Repositories (2022) — 'Free and Easy Access'
Advisory · not in the published score
“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.”
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)]
FsF-A1-01M — F-UJI: 'Metadata contains access level and access conditions of the data' · RDA-A1-01M — metadata contains information to enable the user to get access to the data · COAR Controlled Vocabularies — Access Rights v1.0 (open / embargoed / restricted / metadata-onl
The study uses human-subject data but does not deposit its own data; no gatekeeper is named.
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
No sentence states when or for how long the study's own data are available. [majority verdict 'no' (4/5 passes agreed)]
NIH DMS Plan Element 4 (NOT-OD-21-014) — Data Preservation, Access, and Associated Timelines · NSTC Desirable Characteristics (2022), Organizational Infrastructure: 'Retention Policy' · RDA-A2-01M — 'Metadata is guaranteed to remain available after data is no longer available'
No file format is named for the study's own data.
FsF-R1.3-02D — F-UJI: 'Data is available in a file format recommended by the target research co · RDA-R1.3-02D — data is expressed in a machine-understandable community standard · RDA-I1-01D — data uses a knowledge representation expressed in a standardised format
Advisory · not in the published score
No data or metadata community standard is named for the study's own data.
RDA-R1.3-01M — 'Metadata complies with a community standard' (priority Essential) · RDA-R1.3-01D — 'Data complies with a community standard' · RDA-I2-01M — '(Meta)data use vocabularies that follow FAIR principles'
The 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)]
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'
No licence is attached to the study's own data.
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'
“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.”— not found in the paper; verdict downgraded
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)]
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'
No code location is provided for the study's own analysis code.
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)
“The MHAS is partly sponsored by the National Institute of Aging at the Unites States' National Institutes of Health and INEGI in Mexico.”
A funder (NIH) is named, but no award or grant number is provided. [majority verdict 'partial' (2/5 passes agreed)]
DataCite Metadata Schema 4.6 — 'FundingReference' property (funderName, funderIdentifier, award · Crossref Funder Registry — canonical funder identifiers for funding metadata · RDA-F2-01M — rich metadata provided to allow discovery (funding is part of the descriptive reco
Advisory · not in the published score
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)]
RDA-R1.2-01M — 'Metadata includes provenance information according to community- specific standa · FsF-R1.2-01M — F-UJI: 'Metadata includes provenance information about data creation or generati · W3C PROV-O (W3C Recommendation, 2013) — the entity/activity/agent model of provenance
“The 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.”
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)]
RDA-R1-01M — '(Meta)data are richly described with a plurality of accurate and relevant attribu · FsF-R1-01MD — F-UJI: 'Metadata specifies the content of the data' · NIH DMS Policy Element 3 (NOT-OD-21-014) — Standards (documentation and metadata to accompany t
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
Base Score Contribution
0.165
From this paper's citation signal
Citation Network Contribution
0
From 0 citing papers with measurable signal
This paper's DataRank is currently driven only by its base citation score. None of the citing papers had measurable citation signal.
Learn more about DataRank methodology →National Institutes of Health
Grant: 2R01AG018016-06A1
The Mexican Health and Aging Study - II
National Institutes of Health
Universidad Nacional Autónoma de México
FWCI
0.55
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals