OPEN DATA REUSE IV
Table 16. SWOT analysis: weaknesses and threats
Weaknesses 2023
Weaknesses 2021
Threats 2023
Threats 2021
Failure to maintain clear and specific open data policy legislation. Current data protection regulations. Pretender portals: portals with political impetus, but without strategies or prior planning. Lack of regulation for the use of shared data models for publishing. Lack of business models for services based on open data.
Lack of information on regulations affecting access to data, publication and reuse of open data. Lack of budgets allocated to open data. Lack of open data coordination mechanisms at a European, national and
Lack of digitalisation of data and processes. Low capacity to reuse data. Poor updating of data. Difficulty in identifying truly federated data across domains. There is still a percentage of published datasets that are not reusable due to the technical format of publication. Almost half of the datasets have no geographical information at all. More than a quarter of the data portals have a low level of reputation. No dataset has an advanced degree of reusability. There is a percentage of open data managers who do not yet know whether or not the data in their portals is being reused. Open data portal managers are not aware of product and process innovations generated with their data. Difficult contact with portal managers. 36 % of portals do not know whether or not their data is accessed. High rate of closure of open portals. High rate of abandonment of services based on open data.
Lack of human resources allocated to open data. Lack of adequate data skills. Information provided in open data is not homogeneous. Unpublished local data models (70 %). Lack of data updating in a high percentage of data portals. More than 78 % of data is updated more than monthly. More than 63 % of open data is not geolocated. More than 62 % without systematic dissemination.
regional level. Datasets are not available in all autonomous communities.
The growth of data publication exceeds the capacity to create common data models.
Source: Own authorship based on Abella, Ortiz-de-Urbina-Criado, De-Pablos- Heredero and García-Luna (2021) and the results of the 2023 report
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