000136074 001__ 136074
000136074 005__ 20240711103551.0
000136074 0247_ $$2doi$$a10.1109/ACCESS.2024.3414282
000136074 0248_ $$2sideral$$a139000
000136074 037__ $$aART-2024-139000
000136074 041__ $$aeng
000136074 100__ $$0(orcid)0000-0003-3615-4573$$aAziz, Abdul$$uUniversidad de Zaragoza
000136074 245__ $$aIdentifying the Evolution of Open Government Data Initiatives and Their User Engagement
000136074 260__ $$c2024
000136074 5060_ $$aAccess copy available to the general public$$fUnrestricted
000136074 5203_ $$aOver the last decade, many Open Data initiatives have been launched by public administrations to promote transparency and reuse of data. However, it is not easy to assess the impact of data availability from the perspective of user communities. Although some Open Data portals provide mechanisms for user feedback through dedicated discussion forums or web forms, and some of the user experiences are reported directly in the portals, there is no consistent way to compare user feedback in different data initiatives. To overcome the difficulty of assessing user impact, this paper examines the activity generated by Open Data initiatives through the social network X (formerly Twitter): a forum used by all types of stakeholders and publicly available for consistent analysis. This work proposes a methodology for analysing the evolution of Open Government Data initiatives and their user engagement along a temporal period. First, a set of variables are collected to describe the main features of Open Data initiatives and their associated social network activity. Then, to analyse these collected data from a multidimensional and temporal perspective, we apply the well-known technique of self-organizing maps to find hidden correlations between the status of different initiatives in the analysed period. Finally, as the number of map nodes is still too big to identify clear levels of maturity, a clustering algorithm is applied to group initiatives with a similar evolution status. The feasibility of this methodology has been tested by analysing 27 European Open Government Data portals between 2017 and 2021.
000136074 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T59-23R$$9info:eu-repo/grantAgreement/EC/H2020/955569/EU/Towards a sustainable Open Data ECOsystem/ODECO$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 955569-ODECO
000136074 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000136074 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000136074 700__ $$aHerrera-Murillo, Dagoberto José$$uUniversidad de Zaragoza
000136074 700__ $$0(orcid)0000-0002-1279-0367$$aNogueras-Iso, Javier$$uUniversidad de Zaragoza
000136074 700__ $$0(orcid)0000-0003-3071-5819$$aLacasta, Javier$$uUniversidad de Zaragoza
000136074 700__ $$0(orcid)0000-0001-6491-7430$$aLopez-Pellicer, Francisco J.$$uUniversidad de Zaragoza
000136074 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000136074 773__ $$g12 (2024), 84556-84566$$pIEEE Access$$tIEEE Access$$x2169-3536
000136074 8564_ $$s1173593$$uhttps://zaguan.unizar.es/record/136074/files/texto_completo.pdf$$yVersión publicada
000136074 8564_ $$s2845928$$uhttps://zaguan.unizar.es/record/136074/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000136074 909CO $$ooai:zaguan.unizar.es:136074$$particulos$$pdriver
000136074 951__ $$a2024-07-11-08:37:43
000136074 980__ $$aARTICLE