Dataset relating a study on Geospatial Open Data usage and metadata quality
DOI10.5281/zenodo.4584542Zenodo4584542MaRDI QIDQ6704636
Dataset published at Zenodo repository.
Author name not available (Why is that?)
Publication date: 19 November 2020
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The Open Government Data portals (OGD) thanks to the presence of thousands of geo-referenced datasets, containing spatial information, are of extreme interest for any analysis or process relating to the territory. For this to happen, users must be enabled to access these datasets and reuse them. An element often considered hindering the full dissemination of OGD data is the quality of their metadata. Starting from an experimental investigation conducted on over 160,000 geospatial datasets belonging to six national and international OGD portals, this work has as its first objective to provide an overview of the usage of these portals measured in terms of datasets views and downloads. Furthermore, to assess the possible influence of the quality of the metadata on the use of geospatial datasets, an assessment of the metadata for each dataset was carried out, and the correlation between these two variables was measured. The results obtained showed a significant underutilization of geospatial datasets and a generally poor quality of their metadata. Besides, a weak correlation was found between the use and quality of the metadata, not such as to assert with certainty that the latter is a determining factor of the former. The dataset consists of six zipped CSV files, containing the collected datasets usage data, full metadata, and computed quality values, for about 160,000 geospatial datasets belonging to the threenational and three international portals considered in the study, i.e. US(catalog.data.gov),Colombia (datos.gov.co),Ireland (data.gov.ie),HDX (data.humdata.org),EUODP (data.europa.eu), andNASA (data.nasa.gov). Data collection occurred in the period: 2019-12-19 -- 2019-12-23. The header for each CSV file is: [ ,portalid,id,downloaddate,metadata,overallq,qvalues,assessdate,dviews,downloads,engine,admindomain] where for each row (a portals dataset) the following fields are defined as follows: portalid: portal identifier id: dataset identifier downloaddate: date of data collection overallq: overall quality values computed by applying the methodology presented in [1] qvalues: json object containing the quality values computed for the 17 metrics presented in [1] assessdate: date of quality assessment dviews: number of total views for the dataset downloads: number of total downloads for the dataset (made available only bythe Colombia, HDX, and NASA portals) engine: identifier of the supporting portal platform: 1(CKAN), 2 (Socrata) admindomain: 1 (national), 3 (international) metadata: the overall datasets metadata downloaded via API from the portal according to the supporting platform schema [1]Neumaier, S.; Umbrich, J.; Polleres, A. Automated Quality Assessment of Metadata Across Open Data Portals.J. Data and Information Quality2016,8, 2:12:29. doi:10.1145/2964909
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