HISDAC-ES: Historical Settlement Data Compilation for Spain (1900–2020) is a dataset (2023). On theSindex it has a DataRank of 0.393, placing it in the top 46.3% of the data-sharing corpus. It has been cited 6 times, with 3 citing works in its 1-hop citation network. Its calibrated FAIR score is 73/100.
Ranks in the top 46% 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.
“10.6084/m9.figshare.22009643”
The paper gives a DOI for the dataset in the abstract and data availability section.
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'
“figshare”
The dataset is deposited in figshare, a recognised data repository.
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
“Uhl, J. H., Royé, D., Burghardt, K., Aldrey Vázquez, J. A., Borobio Sanchiz, M., and Leyk, S. (2023a). HISDAC-ES: Historical Settlement Data Compilation for Spain (1900-2020). figshare. Dataset. https://doi.org/10.6084/m9.figshare.22009643”— not found in the paper; verdict downgraded
The dataset appears as a reference-list entry with a DOI. [downgraded to 'partial' — no verifiable quote from the paper]
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 datasets are available at https://doi.org/10.6084/m9.figshare.22009643 (Uhl et al., 2023a).”
The statement points to a repository record with a DOI, corresponding to Colavizza category 3.
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
“All raster datasets are available in LZW-compressed GeoTIFF format and have a spatial resolution of 100m × 100m. All raster datasets are available in EPSG:3035 (LAEA, all Spanish territory), EPSG:4083 (REGCAN, Canary Islands), and EPSG:25830 (UTM30N, Iberic peninsula). The raster datasets are organized in subfolders as follows: They are grouped by geographic coverage (all, can, ibe) and reference system (laea, regcan, utm), and by theme (evolution, landuse, physical, temporal). For example, “ibe_utm _temporal” contains the surfaces measuring temporal characteristics of the built environment, covering the Iberic peninsula, referenced to the UTM grid. In total, there are 717 GeoTIFF files. Municipality -level aggregates and uncertainty measures are avail able in CSV format. In addition to that, municipality -level uncertainty metrics are available as GeoPackage (.gpkg) format (EPSG:25830) including municipality boundaries. The CSV files can be joined to the municipality GPKG using the “lau_code” attribute field. The total uncompressed data volume is around 3GB. The data in the repository is partitioned in four ZIP -compressed archives, one for the raster data in each of the three spatial reference systems, and one for the municipality-level aggregates.”— not found in the paper; verdict downgraded
The paper contains an itemised inventory of the dataset (files, formats, organization, volume) in the 'Data availability' section. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/5 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'
“All datasets are available at https://doi.org/10.6084/m9.figshare.22009643 (Uhl et al., 2023a).”
The text gives an unconditional access route with no stated precondition.
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
“This new data product, the Historical Settlement Data Compilation for Spain (HISDAC-ES), is publicly available”— not found in the paper; verdict downgraded
The paper explicitly labels the data as 'publicly available', which is a natural-language synonym for 'open access'. [downgraded to 'partial' — no verifiable quote from the paper] [majority verdict 'partial' (3/5 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 data are not sensitive or human-subject; no gatekeeper is mentioned.
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 in the paper states when the data become available or how long they persist. [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'
“GeoTIFF”— not found in the paper; verdict downgraded
The data are released in GeoTIFF format, an open community standard. [downgraded to 'partial' — no verifiable quote from the paper]
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
“INSPIRE-conforming building data”
The data comply with the INSPIRE community standard for building data. [majority verdict 'yes' (3/5 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'
“https://doi.org/10.17026/dans-25g-gez”
The paper references the HYDE dataset with a DOI in Table 3.
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 state a licence for the data; the CC BY 4.0 footer applies to the article only.
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'
“v1”— not found in the paper; verdict downgraded
The file names include a version token 'v1'. [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'
“https://github.com/johannesuhl/hisdac-es”
The code is given a machine-resolvable GitHub URL. [majority verdict 'yes' (3/5 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)
“1924670 and 2121976”
The paper includes NSF award numbers attached to the named funder.
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
“Python 3.8, using libraries such as Numpy, Scipy, GDAL, Geopandas, Matplotlib, PIL, and ESRI ArcPy.”
The paper names specific software versions and libraries used to produce the data. [majority verdict 'yes' (3/5 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
“Table 2: Overview of the gridded surfaces of the HISDAC-ES”
Variable definitions are provided in Table 2 inside the article, but no documentation object is said to accompany 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
0.292
From this paper's citation signal
Citation Network Contribution
0.102
From 3 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 3 citers.