Mapping and characterising areas with high levels of HIV transmission in sub-Saharan Africa: A geospatial analysis of national survey data is a dataset published in PLoS Medicine (2020). On theSindex it has a DataRank of 2.4, placing it in the top 8.8% of the data-sharing corpus. It has been cited 58 times, with 45 citing works in its 1-hop citation network. Its calibrated FAIR score is 4/100.
Ranks in the top 9% 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 paper does not provide any persistent identifier for the dataset it generated; the only identifiers are for the external DHS data sources used in the analysis.
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 study's own data are not deposited in a named repository; the paper only states that the utilised data are open-source from external sources.
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 paper does not cite a dataset identifier for its own data in the reference list or body text. [majority verdict 'no' (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
“All utilised data are open-source, and the hyperlinks to the different data sources are provided in the Methods section of the manuscript.”
The data availability statement refers to the openness of the input data, not to the study's own derived data, and thus does not point to a repository record for the study's dataset. [majority verdict 'no' (4/5 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
No itemised inventory of the study's own dataset (files, variables, or samples) appears in the text; the results are presented as figures and tables without a structured dataset description.
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 text does not specify a route to the study's own data with no precondition; the only access is through the open-access article, but this is not stated as a data route. [majority verdict 'no' (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
No access-level label is applied to the study's own data anywhere in the text.
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 de-identified aggregate data, and no gatekeeper is named for access to the study's own results.
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 does not state any timeline for availability or persistence of the study's data.
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'
The paper does not name any file format for the released 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
“Reporting of study design and analysis followed RECORD guidelines ( S1 Checklist ) [ 24 ].”
RECORD and STROBE are manuscript reporting guidelines, not data/metadata community standards. [majority verdict 'partial' (4/5 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'
“Data obtained through https://dhsprogram.com/.”— not found in the paper; verdict downgraded
The paper provides URLs for the external data sources it depends on, such as the DHS program website. [downgraded to 'no' — no verifiable quote from the paper] [majority verdict 'no' (3/5 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 reuse licence is stated for the study's own data; the CC BY licence applies to the article only. [majority verdict 'no' (4/5 passes agreed)]
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'
No version token or date is given for the study's own data.
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 paper does not provide a locator for the study's own code; it only names the software used.
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)
“This study was funded by the Dutch AIDS Foundation (P-29702).”
The paper includes a grant number from the Dutch AIDS Foundation.
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
“All analyses were done using ArcGIS Pro version 2.3 and R version 3.4.3.”
The paper names the specific software versions used to produce the data. [majority verdict 'yes' (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
No documentation object (README, codebook, data dictionary) is described as accompanying the study's data. [majority verdict 'no' (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
0.612
From this paper's citation signal
Citation Network Contribution
1.8
From 39 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 45 citers.
National Institutes of Health
Grant: 5R01HD084233-06
Causal Pathways to population health impact of HIV antiretroviral treatment
National Institutes of Health
Grant: 5R01AI124389-03
Can HIV Hot-Spots be eradicated? An intervention to decrease HIV transmission to young women in rural KwaZulu-Natal South Africa
Wellcome Trust
Grant: unidentified
unidentified
National Institutes of Health
Grant: 5D43TW009775-08
HIS : Training Tanzanian Researchers for HIV/AIDS Implementation Science (Renewal)
National Institutes of Health
Grant: 1D43TW009775-01A1
Training Tanzanian Researchers for HIV/AIDS Implementation Science
National Institutes of Health
Grant: 7R01AI112339-05
New Methods for the design and evaluation of large HIV prevention interventions
National Institutes of Health
Grant: 5P01AG041710-02
CARDIOMETABOLIC DISEASE & RISK FACTORS AMONG OLDER ADULTS IN SUB-SAHARAN AFRICA
FIC NIH HHS
Grant: D43 TW009775
NICHD NIH HHS
Grant: R01 HD084233
NIAID NIH HHS
Grant: R01 AI124389
NIA NIH HHS
Grant: P01 AG041710
NIAID NIH HHS
Grant: R01 AI112339
Wellcome Trust
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018
Additional file 1 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018
Additional file 2 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018
Additional file 2 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018
Additional file 3 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018
Additional file 3 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018
Additional file 4 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018
Additional file 4 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018