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"How Much?" is not Enough: an Analysis of Open Budget Initiatives

Published: 01 March 2016 Publication History

Abstract

A worldwide movement towards the publication of Open Government Data is taking place, and budget data is one of the key elements pushing this trend. Its importance is mostly related to transparency, but publishing budget data, combined with other actions, can also improve democratic participation, allow comparative analysis of governments and boost data-driven business. However, the lack of standards and common evaluation criteria still hinders the development of appropriate tools and the materialization of the appointed benefits. In this paper, we present a model to analyse government initiatives to publish budget data. We identify the main features of these initiatives with a double objective: (i) to drive a structured analysis, relating some dimensions to their possible impacts, and (ii) to derive characterization attributes to compare initiatives based on each dimension. We define use perspectives and analyse some initiatives using this model. We conclude that, in order to favour use perspectives, special attention must be given to user feedback, semantics standards and linking possibilities.

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  1. "How Much?" is not Enough: an Analysis of Open Budget Initiatives

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    ICEGOV '15-16: Proceedings of the 9th International Conference on Theory and Practice of Electronic Governance
    March 2016
    453 pages
    ISBN:9781450336406
    DOI:10.1145/2910019
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 01 March 2016

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    Author Tags

    1. Budget
    2. Open Data
    3. e-Government

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    ICEGOV '15-16

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    Cited By

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    • (2023)A Paradigm Shift in Global GovernanceTackling Corruption in Latin America10.1007/978-3-031-38085-3_3(35-85)Online publication date: 8-Nov-2023
    • (2021)Importance of the Open Data Assessment: An Insight Into the (Meta) Data Quality DimensionsSage Open10.1177/2158244021102317811:2Online publication date: 15-Jun-2021
    • (2021)Deconstructing Government Budgets through Visual Representation SoftwareInternational Journal of Public Administration10.1080/01900692.2021.189154945:11(807-818)Online publication date: 11-Mar-2021
    • (2021)The Potential of BOLD in National Budget Planning: Opportunities and Challenges for KosovoElectronic Government10.1007/978-3-030-84789-0_13(178-189)Online publication date: 31-Aug-2021
    • (2020)Cross-administration comparative analysis of open fiscal dataProceedings of the 13th International Conference on Theory and Practice of Electronic Governance10.1145/3428502.3428573(459-468)Online publication date: 29-Oct-2020
    • (2020)Social participation in the definition of budgetary instrumentsTransforming Government: People, Process and Policy10.1108/TG-12-2019-011814:5(737-755)Online publication date: 23-May-2020
    • (2018)ExperienceJournal of Data and Information Quality10.1145/31905769:4(1-10)Online publication date: 12-Apr-2018
    • (2018)OpenBudgets.eu: A Platform for Semantically Representing and Analyzing Open Fiscal DataWeb Engineering10.1007/978-3-319-91662-0_35(433-447)Online publication date: 20-May-2018
    • (2017)A Data-Driven Model for Linking Open Economic InformationInternet Science10.1007/978-3-319-70284-1_25(329-343)Online publication date: 2-Nov-2017
    • (2016)Rudolf: An HTTP API for exposing semantically represented fiscal OLAP cubes2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)10.1109/SMAP.2016.7753406(177-182)Online publication date: Oct-2016
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