Framework for Prioritization of Open Data Publication: An Application to Smart Cities

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Title: Framework for Prioritization of Open Data Publication: An Application to Smart Cities
Authors: Prieto, Alvaro E. | Mazón, Jose-Norberto | Lozano-Tello, Adolfo
Research Group/s: Web and Knowledge (WaKe)
Center, Department or Service: Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos | Universidad de Alicante. Instituto Universitario de Investigación Informática
Keywords: Decision support | Dataset reuse indicators | Open data | Smart city application
Knowledge Area: Lenguajes y Sistemas Informáticos
Issue Date: 3-Mar-2021
Publisher: IEEE
Citation: IEEE Transactions on Emerging Topics in Computing. 2021, 9(1): 131-143.
Abstract: Public Sector Information is considered to play a fundamental role in the growth of the knowledge economy and improvements in society. Given the difficulty in publishing and maintaining all available data, due to budget constraints, institutions need to select which data to publish, giving priority to data most likely to generate social and economic impact. Priority of publication could become an even more significant problem in Smart Cities: as huge amounts of information are generated from different domains, the way data is prioritized and thus reused, could be a determining factor in promoting, among others, new and sustainable business opportunities for local entrepreneurs, and to improve citizen quality of life. However, people in charge of prioritizing which data to publish through open data portals (such as Chief Data Officers, or CDOs) do not have available any specific support in their decision-making process. In this work, a proposal of a framework for prioritization of open data publication as well as its application to Smart Cities is presented. This specific application of the framework relies on OSS (Open Source Software) indicators to help making decisions on the most relevant data to publish focused on developers and businesses operating within the Smart City context.
Sponsor: This work was funded by (i) Ministerio de Economía e Innovación (Spain) TIN2015-69957-R (MINECO/ERDF, EU) project and TIN2016-78103-C2-2-R (MINECO/ERDF, EU) project, (ii) POCTEP 4IE project (0045-4IE-4-P), and (iii) Consejería de Economía e Infraestructuras/Junta de Extremadura (Spain) - European Regional Development Fund (ERDF)- GR18112 project and IB16055 project.
ISSN: 2168-6750
DOI: 10.1109/TETC.2019.2893016
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2019 IEEE
Peer Review: si
Publisher version:
Appears in Collections:INV - WaKe - Artículos de Revistas

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