Geospatial Open Data Usage and Metadata Quality
Bibliographic Data
| ID | 22034260 |
|---|---|
| Authors | Alfonso Quarati (0000-0002-1801-3403, National Research Council), Mónica De Martino (0000-0002-1963-3321, National Research Council, corresponding author), Sergio Rosim (0000-0001-5424-7162, Instituto Nacional de Pesquisas Espaciais) |
| Year | 2021 |
| Volume | 10 |
| Issue | 1 |
| Pages | 30 |
| Publication date | 2021-01-13 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi10010030 |
| OpenAlex | W3118934842 |
| Language | EN |
| Citations received | 13 |
| References cited | 46 |
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 as 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. In addition, 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
Cartography · Data element · Data mining · Data quality · Data science · Geography · Geospatial analysis · Geospatial metadata · Geospatial PDF · Information retrieval · Meta Data Services · Metadata · Metadata repository · World Wide Web · Computer Science · Data Quality and Management · E-Government and Public Services · Engineering · Geographic Information Systems Studies
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| Unique citing works | 13 |
|---|---|
| Citations per year | 2,6 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 13 |