OPEN DATA REUSE IV
3.2.10 Categorisation by global reuse
Figure 15. Distribution of sampled datasets by categories 2023 (MELODA 5)
According to the MELODA 5 metric, the sampled data has been categorised according to its eight dimensions (reuse licence, technical standard, access mechanism, data model, data geolocation, update frequency, dissemination and reputation). Figure 15 shows the results obtained. It is noteworthy that, according to the MELODA 5 categories, in 2023 no dataset has an advanced degree of reuse, but the majority, 91.20 %, has an inadequate degree of reuse. In 2021, 83 % had a basic degree of reuse. This result, which seems surprising, may be due to several factors. Additionally, there is a phenomenon that has been observed when obtaining the data and analysing the portals for the sample, namely that many portals do not seem to be updated. In recent years, policies for the publication and use of open data have stagnated and some interest is being maintained, but they are not being developed and enhanced.
8,80 %
91,20 %
Basic
Inadequate
Source: Own authorship.
In 2023, almost 94 % of portal managers know the reusers of the data they publish.
3.3 DIAGNOSIS OF DATA REUSE
3.3.1 Analysis of knowledge regarding entities that reuse published data Respondents were asked whether they knew of any public or private entity (companies, NGOs, academics, students, individual citizens) that reused the data they publish on their open data portal. In 2023, 93.50 % of respondents said they knew some of the reusers, while this figure was 97.20 % in 2021, 75.60 % in 2019 and 77 % in 2017. This data shows that there has been some
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