Social connections and risk of incident mild cognitive impairment, dementia, and mortality in 13 longitudinal cohort studies of ageing is a dataset published in Alzheimer s & Dementia (2023). On theSindex it has a DataRank of 0.952, placing it in the top 21.2% of the data-sharing corpus. It has been cited 48 times, with 40 citing works in its 1-hop citation network. Its calibrated FAIR score is 4/100.
Ranks in the top 21% for downstream scientific impact
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 paper does not provide a persistent identifier for its own dataset; the article DOI is not a dataset identifier, and no other PID scheme string is given for the data.
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'
“Researchers can apply to use COSMIC data by completing a COSMIC Research Proposal Form available from https://cheba.unsw.edu.au/consortia/cosmic/research-proposals.”— not found in the paper; verdict downgraded
COSMIC is a consortium and project website, not a curated repository listed in re3data/FAIRsharing, so it qualifies as a non-repository host. [downgraded to 'no' — no verifiable quote from the paper]
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
No identifier for the study's own dataset appears anywhere in the paper, nor is it cited as a reference-list entry.
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
“All aggregate participant data are presented either in the manuscript or appendix. Individual participant data cannot be made publicly available because they are protected by a confidentiality agreement. Data were provided by the contributing studies to COSMIC on the understanding and proviso that the relevant study leaders be contacted for further use of their data and additional formal data sharing agreements be made. Researchers can apply to use COSMIC data by completing a COSMIC Research Proposal Form available from https://cheba.unsw.edu.au/consortia/cosmic/research-proposals.”— not found in the paper; verdict downgraded
The statement points to the article and supplementary materials for aggregate data (Colavizza category 2) and to a third-party application process for individual data, not to a repository record. [downgraded to 'no' — no verifiable quote from the paper]
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
“Social connections markers addressed structure (i.e., relationship status, living situation, community group engagement, interactions with family/friends), function (i.e., having a confidante, degree of social support), and quality (i.e., loneliness and relationship satisfaction); all were harmonized in accordance with previous COSMIC research.”
The dataset content is described in running prose within the methods, not in an itemised inventory such as a 'Data Records' section, table, or list. [majority verdict 'partial' (3/4 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'
“All aggregate participant data are presented either in the manuscript or appendix. Individual participant data cannot be made publicly available because they are protected by a confidentiality agreement. Data were provided by the contributing studies to COSMIC on the understanding and proviso that the relevant study leaders be contacted for further use of their data and additional formal data sharing agreements be made. Researchers can apply to use COSMIC data by completing a COSMIC Research Proposal Form available from https://cheba.unsw.edu.au/consortia/cosmic/research-proposals.”— not found in the paper; verdict downgraded
The paper gives a followable process (application to COSMIC with a proposal form) for accessing individual data, but that process has a precondition (approval). Aggregate data are in the article but no precondition for that part. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/4 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
“Researchers can apply to use COSMIC data by completing a COSMIC Research Proposal Form available from https://cheba.unsw.edu.au/consortia/cosmic/research-proposals.”— not found in the paper; verdict downgraded
The paper does not label the access level with a standard vocabulary; it describes an action to obtain individual data, which implies a restricted access level, but no explicit label is given. [downgraded to 'no' — no verifiable quote from the paper]
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
“Researchers can apply to use COSMIC data by completing a COSMIC Research Proposal Form available from https://cheba.unsw.edu.au/consortia/cosmic/research-proposals.”— not found in the paper; verdict downgraded
COSMIC provides a registered application process, which qualifies as an institutional gatekeeper for the sensitive human-subject data. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/4 passes agreed)]
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
The paper states neither when the data become available (beyond the published article) nor how long they persist; no temporal commitment is made.
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 released data; the aggregate data are presented in tables within the article, and no format token is given.
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
“This study is presented using STROBE guidelines (Table S1).”— not found in the paper; verdict downgraded
STROBE is a manuscript reporting guideline from the EQUATOR Network, not a data or metadata community standard, placing it in class 2. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/4 passes agreed)]
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 paper does not provide identifiers (e.g., accessions, DOIs) for the source cohort datasets or any other external resource; it only names them without identifiers.
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'
The paper does not attach a licence to the data; the CC BY licence applies to the article, not to the dataset itself, and no other licence is mentioned.
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'
Neither a version token nor a date is provided to identify a specific snapshot of the harmonized dataset.
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'
The study's own analysis code is not deposited or linked; only third-party R packages are mentioned, and no code repository or DOI is given. [majority verdict 'no' (3/4 passes agreed)]
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)
“Grant number APP1169489”
Multiple award/grant numbers are provided alongside named funders, satisfying the requirement for an alphanumeric grant identifier. [majority verdict 'yes' (2/4 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
No specific instruments, kits, or software used to produce the original data are named; only the analysis software is mentioned. [majority verdict 'no' (2/4 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
“Further information related to the harmonization of these variables and their coding can be found in Tables S3-S10.”— not found in the paper; verdict downgraded
Variable definitions are provided in supplementary tables within the article, not as a separate documentation object shipped with the data. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/4 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
0.584
From this paper's citation signal
Citation Network Contribution
0.368
From 18 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 40 citers.
National Health and Medical Research Council (NHMRC)
Grant: 350833
The prevention, early detection, & effective management of neurocognitive disorders in the elderly
National Health and Medical Research Council (NHMRC)
Grant: 568969
Prevention, early detection and effective management of neurocognitive disorders in the elderly
National Institutes of Health
Grant: 1RF1AG057531-01
COSMIC: An international consortium to identify risk and protective factors and biomarkers of cognitive ageing and dementia in diverse ethno-racial groups and geographical settings
National Institutes of Health
Grant: 5R37AG023651-17
Mild Cognitive Impairment: A Prospective Community Study
National Health and Medical Research Council (NHMRC)
Grant: 1093083
Risk factors, early diagnosis, and effective interventions for neurocognitive disorders
NIA NIH HHS
Grant: RF1 AG057531
NIA NIH HHS
Grant: R37 AG023651
Medical Research Council
Grant: MC_UU_00019/1
NIA NIH HHS
Grant: R01 AG057531
Medical Research Council
Grant: MC_UU_00019/2
Medical Research Council
Grant: MC_UU_00019/3
FWCI
12.35
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals