Principles, guidelines, dimensions, and attributes for the quality evaluation of Open Government Data
DOI:
https://doi.org/10.15649/2346030X.950Keywords:
open government data, data quality attributes, data quality dimensions, data quality guidelines, data quality principiesAbstract
The purpose of this research was to establish a conceptual basis for the quality assessment of open government data, by delimiting the principles, guidelines, dimensions and quality attributes required to implement an effective operation of the guidelines given by the Ministry of Technologies of Information and Communications of Colombia. A literature review was carried out, in which the objective of the research was defined, a query was made in different sources, the data was prepared and the literature was classified according to the defined selection criteria and thus align the selected components in a strategic scheme that prioritizes the exploitation of data as a source of trends and innovations. Three essential principles were identified: Fitness for Use, Process Orientation and Continuous Improvement, from which three dimensions emerge to consider the context, properties and value representation of the data, with 6 guidelines and 12 attributes that gradually contribute with the level of quality required according to the technical reference documents for the Colombian context. In conclusion, the proposed model makes it possible to develop a quality assessment of open government data to enable, through its publication and reuse, the benefits of converting the raw material of the data into products that are materialized in relevant information and coherent for the public and private sectors and the general public.
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