Name
Title | ||
|---|---|---|
State-of-the-Art Assessment on the Implementations of International Core Data Models for Public Administrations. |
Abstract | ||
|---|---|---|
Public administrations are often still organised in vertical, closed silos. The lack of common data standards (common data models and reference data) for exchanging information between administrations in a cross-domain and/or cross-border setting stands in the way of digital public services and automated flow of information between public administrations. Core data models address this issue, but are often created within the closed environment of a country or region and within one policy domain. A lack of insight exists in understanding and managing the life-cycle of these initiatives on public administration information systems for data modelling and data exchange. In this paper, we outline state-of-the-art implementations and vocabularies linked to the core data models. In particular we inventoried and selected existing core data models and identified tendencies in current practices based on the criteria creation, use, maintenance and coordination. Based on the analysis, this survey suggest research directions for policy and information management studies pointing to best practices regarding core data model implementations and their role in linking isolated data silos within a cross-country context. Finally we highlight the differences in their coordination and maintenance, depending on the state of creation and use. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2910019.2910027 | ICEGOV |
Keywords | Field | DocType |
Core Data Models, Interoperability, Lifecycle, Inventory, eGovernment, Governance | Information system,Information flow (information theory),Data modeling,Information management,Data exchange,Computer science,Public relations,Interoperability,Knowledge management,Implementation,Data model | Conference |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mathias Van Compernolle | 1 | 13 | 3.41 |
| Laurens De Vocht | 2 | 171 | 22.13 |
| Stijn Goedertier | 3 | 311 | 17.54 |
| Nikolaos Loutas | 4 | 273 | 23.01 |
| Ruben Verborgh | 5 | 630 | 105.49 |
| Erik Mannens | 6 | 671 | 99.58 |
| Peter Mechant | 7 | 82 | 11.50 |
| Vassilios Peristeras | 8 | 0 | 0.34 |
| Rik Van de Walle | 9 | 2040 | 238.28 |