000163017 001__ 163017
000163017 005__ 20251009133841.0
000163017 0247_ $$2doi$$a10.1108/OIR-12-2024-0807
000163017 0248_ $$2sideral$$a145494
000163017 037__ $$aART-2025-145494
000163017 041__ $$aeng
000163017 100__ $$0(orcid)0000-0003-3615-4573$$aAziz, Abdul$$uUniversidad de Zaragoza
000163017 245__ $$aRoundtrip feedback in open data portals: analysis of input and output channels
000163017 260__ $$c2025
000163017 5060_ $$aAccess copy available to the general public$$fUnrestricted
000163017 5203_ $$aPurpose
Open Government Data (OGD) portals aim to enhance accountability and transparency by serving as central access points for all government data at local, regional and national levels. To enhance user engagement with OGD portals, it is essential to optimize feedback mechanisms within these portals. This work aims to analyse the current status of feedback mechanisms as a foundation for their future improvement to strengthen user engagement and to advance in accountability and transparency.
Design/methodology/approach
This research conceptualizes feedback mechanisms in OGD portals, followed by case studies and extrapolation through the analysis to a wider range of OGD portals by means of an automated detection of input channels, output channels and the connecting flows.
Findings
The study reveals significant variability in the structure and formality of input and output feedback channels. Feedback mechanisms range from highly informal channels, such as social media, to formal structured channels, such as dedicated feedback forms. Our data analysis identifies three distinct clusters of countries based on the characteristics of feedback mechanisms in their OGD portals.
Originality/value
While existing research highlights the importance of feedback in OGD portals, it mainly focuses on the flow from users to data publishers through input channels. The novelty of this work lies in examining not only input channels but also the return flow from data publishers to users through output channels.
000163017 536__ $$9info:eu-repo/grantAgreement/EC/H2020/955569/EU/Towards a sustainable Open Data ECOsystem/ODECO$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 955569-ODECO
000163017 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000163017 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000163017 700__ $$aAli, Mohsan
000163017 700__ $$0(orcid)0000-0002-1279-0367$$aNogueras-Iso, Javier$$uUniversidad de Zaragoza
000163017 700__ $$aAlexopoulos, Charalampos
000163017 700__ $$0(orcid)0000-0001-6491-7430$$aLopez-Pellicer, Francisco J.$$uUniversidad de Zaragoza
000163017 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000163017 773__ $$g49, 8 (2025), 134-151$$pOnline inf. rev.$$tOnline Information Review$$x1468-4527
000163017 8564_ $$s10037274$$uhttps://zaguan.unizar.es/record/163017/files/texto_completo.pdf$$yVersión publicada
000163017 8564_ $$s1779731$$uhttps://zaguan.unizar.es/record/163017/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000163017 909CO $$ooai:zaguan.unizar.es:163017$$particulos$$pdriver
000163017 951__ $$a2025-10-09-13:25:56
000163017 980__ $$aARTICLE