OPEN DATA REUSE IV
74 % of respondents from the academic sector, 71 % from the private sector and 73 % from the public sector indicated that they are aware of European regulations on the six categories of high-value public datasets. Respondents from the public sector, who are both providers and reusers of public information, highlight that the most significant obstacles they encounter when reusing information are (ASEDIE, 2023): • The information provided in the data is not homogeneous (41.9 %). • dDatasets are not available in all autonomous communities or in all city councils (41 %). • Lack of data updates (38.1 %). Regarding obstacles when reusing data, both the academic and private sectors agree that the main obstacles are (ASEDIE, 2023): • Lack of data updates. • Lack of availability. • Difficulty in accessing it. Data federation allows you to redistribute an open dataset from its original domain or another domain in whole or in part. It is a way to collect external sources of data in domains that are usually most actively visited. In this sense, the 2021 report detected a significant increase in federated data as a way to avoid these obstacles (Abella, Ortiz de Urbina Criado, De Pablos Heredero and García Luna, 2021) that has continued to this day. Regarding the impact of the usefulness of open data, 88 % of academic respondents who have knowledge of high-value sets believe that they are useful for their institution. 96 % of companies surveyed who have knowledge of high-value
datasets believe they are truly useful for their business. 77 % of public sector respondents who have knowledge of high-value datasets have indicated that their agency is responsible for at least one of them. 72 % of public sector respondents who have indicated that their agency is responsible for one of the high-value datasets have indicated that they will publish the data within the established time frame—16 months— (ASEDIE, 2023). In terms of academic and business impact, 54 % of private sector respondents who have knowledge of the six categories of high-value data have indicated that up to this point they have paid for some of the data collected in these categories, while 93 % of them have stated that free access to data will have a positive impact on their budget. Regarding the academic sector, only 13 % of respondents who have knowledge of high-value data usually pay for its use. However, all respondents affirm that free access to data will make it easier to carry out research projects (ASEDIE, 2023). 95 % of respondents state that it would be beneficial to have a list or compendium of existing regulations that directly affect the access to, publication and reuse of public sector data. 65 % of those surveyed who request a list or compendium of regulations state that it would help to advance the training and informing of those involved in the data ecosystem, and 59 % mention that it would help to make the implementation of the different regulations clearer and easier (ASEDIE, 2023). 63 % of respondents affirm that they use data daily or at least once a week. The most in-demand data is statistical, information on the public sector and geospatial. 61 % of respondents affirm that they use the data published on the data.gob.es portal. 66 % of respondents say they use data published on other Spanish portals. 77 % of respondents
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