Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/934
Title: Open Government Data: A Stage Model
Authors: Kalampokis, Evangelos
Tambouris, Efthimios
Tarabanis, Konstantinos
Type: Conference Paper
Subjects: FRASCATI::Natural sciences::Computer and information sciences
Keywords: Stage model
open data
eGovernment
data integration
Issue Date: 2011
Volume: 6846
First Page: 235
Last Page: 246
Volume Title: 10th IFIP WG 8.5 International Conference on Electronic Government
Abstract: Public sector information constitutes a valuable primary material for added-value services and products, which however remains unexploited. Recently, Open Government Data (OGD) initiatives emerged worldwide aiming to make public data freely available to everyone, without limiting restrictions. Despite its potential however there is currently a lack of roadmaps, guidelines and benchmarking frameworks to drive and measure OGD progress. This is particularly true as proposed stage models for measuring eGovernment progress focus on services and do not sufficiently consider data. In this paper, we capitalize on literature on eGovernment stage models and OGD initiatives to propose a stage model for OGD. The proposed model has two main dimensions, namely organizational & technological complexity and added value for data consumers. We anticipate the proposed model will open up a scientific discussion on OGD stage models and will be used by practitioners for constructing roadmaps and for benchmarking just like the European Union stage model is currently used for measuring public service online sophistication.
URI: https://doi.org/10.1007/978-3-642-22878-0_20
https://ruomo.lib.uom.gr/handle/7000/934
ISBN: 978-3-642-22877-3
978-3-642-22877-3
ISSN: 0302-9743
1611-3349
Other Identifiers: 10.1007/978-3-642-22878-0_20
Appears in Collections:Department of Applied Informatics
Department of Business Administration

Files in This Item:
File Description SizeFormat 
OGD_EGOV11_pre_final.pdf695,44 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.