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https://ruomo.lib.uom.gr/handle/7000/1785
Πλήρης εγγραφή μεταδεδομένων
Πεδίο DC | Τιμή | Γλώσσα |
---|---|---|
dc.contributor.author | Gouscos, Dimitris | - |
dc.contributor.author | Melidis, Alexandros | - |
dc.contributor.author | Tambouris, Efthimios | - |
dc.date.accessioned | 2023-11-25T22:35:25Z | - |
dc.date.available | 2023-11-25T22:35:25Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | https://ruomo.lib.uom.gr/handle/7000/1785 | - |
dc.description.abstract | This paper presents the rationale,making effort and research agenda for co-creating an empirical fit-for purpose canvas model that can guide non-expert quadraple-helix stakeholders within a Civil Society Organization (CSO) working group for Open Government and Open Data to better structure their proposals for opening up data of public interest.The authors provide the real-world case framing this work,findings from are view of relevant approaches,an imperfect seed version of the canvas model built, design choices behind ist making,are search agenda for co-creation and co-assessment with end-users, a value proposition, and limitations of this effort. | en_US |
dc.language.iso | en | en_US |
dc.publisher | CEUR | en_US |
dc.relation.ispartofseries | CEUR Workshop Proceedings | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | FRASCATI::Natural sciences::Computer and information sciences | en_US |
dc.subject.other | open data | en_US |
dc.subject.other | open government | en_US |
dc.subject.other | canvas models | en_US |
dc.subject.other | stakeholder engagement | en_US |
dc.subject.other | co-creation | en_US |
dc.title | ECCOdata: A proposal of an Empirical Co-created Canvas for Opening up Data of Public Interest | en_US |
dc.type | Conference Paper | en_US |
dc.contributor.department | Τμήμα Εφαρμοσμένης Πληροφορικής | en_US |
local.identifier.volumetitle | EGOV-CeDEM-ePart 2022,September 06–08, 2022, Linköping University, Sweden | en_US |
Εμφανίζεται στις Συλλογές: | Τμήμα Εφαρμοσμένης Πληροφορικής |
Αρχεία σε αυτό το Τεκμήριο:
Αρχείο | Περιγραφή | Μέγεθος | Μορφότυπος | |
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CR106_EGOV_ECCOdata_2022_final.pdf | 208,07 kB | Adobe PDF | Προβολή/Ανοιγμα |
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