Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance, ICEGOV 2018 |
| Editors | Delfina Soares, Atreyi Kankanhalli, Adegboyega Ojo |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 81-90 |
| Number of pages | 10 |
| ISBN (print) | 9781450354219 |
| Publication status | Published - Apr 2018 |
| Event | 11th International Conference on Theory and Practice of Electronic Governance, ICEGOV 2018 - Galway, Ireland Duration: 4 Apr 2018 → 6 Apr 2018 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|
Abstract
Open data has gained momentum for the past few years, but not much consumption was done over published open budget and spending datasets. Many challenges to consume open budget and spending data are still open. One of the challenges is the heterogeneity of these datasets. We analyze more than 75 different budget and spending datasets released by different public administrations from various levels of administrations and locations. We select five datasets, then present and illustrate several types of budget and spending heterogeneities. We compare these heterogeneities with state of the art fiscal data models, the OpenBudgets.eu (OBEU) data model and Fiscal Data Package (FDP) which are designed specifically for representing budget and spending datasets. The comparison provides hints for both datasets publishers and technical/research communities that deal with open data in budget and spending domain.
Keywords
- Data heterogeneity, Fiscal data, Open data
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Computer Science(all)
- Human-Computer Interaction
- Computer Science(all)
- Computer Vision and Pattern Recognition
- Computer Science(all)
- Computer Networks and Communications
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Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance, ICEGOV 2018. ed. / Delfina Soares; Atreyi Kankanhalli; Adegboyega Ojo. Association for Computing Machinery (ACM), 2018. p. 81-90 (ACM International Conference Proceeding Series).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Classifying data heterogeneity within budget and spending open data
AU - Musyaffa, Fathoni A.
AU - Orlandi, Fabrizio
AU - Vidal, Maria Esther
AU - Jabeen, Hajira
PY - 2018/4
Y1 - 2018/4
N2 - Open data has gained momentum for the past few years, but not much consumption was done over published open budget and spending datasets. Many challenges to consume open budget and spending data are still open. One of the challenges is the heterogeneity of these datasets. We analyze more than 75 different budget and spending datasets released by different public administrations from various levels of administrations and locations. We select five datasets, then present and illustrate several types of budget and spending heterogeneities. We compare these heterogeneities with state of the art fiscal data models, the OpenBudgets.eu (OBEU) data model and Fiscal Data Package (FDP) which are designed specifically for representing budget and spending datasets. The comparison provides hints for both datasets publishers and technical/research communities that deal with open data in budget and spending domain.
AB - Open data has gained momentum for the past few years, but not much consumption was done over published open budget and spending datasets. Many challenges to consume open budget and spending data are still open. One of the challenges is the heterogeneity of these datasets. We analyze more than 75 different budget and spending datasets released by different public administrations from various levels of administrations and locations. We select five datasets, then present and illustrate several types of budget and spending heterogeneities. We compare these heterogeneities with state of the art fiscal data models, the OpenBudgets.eu (OBEU) data model and Fiscal Data Package (FDP) which are designed specifically for representing budget and spending datasets. The comparison provides hints for both datasets publishers and technical/research communities that deal with open data in budget and spending domain.
KW - Data heterogeneity
KW - Fiscal data
KW - Open data
UR - http://www.scopus.com/inward/record.url?scp=85051417830&partnerID=8YFLogxK
U2 - 10.1145/3209415.3209482
DO - 10.1145/3209415.3209482
M3 - Conference contribution
AN - SCOPUS:85051417830
SN - 9781450354219
T3 - ACM International Conference Proceeding Series
SP - 81
EP - 90
BT - Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance, ICEGOV 2018
A2 - Soares, Delfina
A2 - Kankanhalli, Atreyi
A2 - Ojo, Adegboyega
PB - Association for Computing Machinery (ACM)
T2 - 11th International Conference on Theory and Practice of Electronic Governance, ICEGOV 2018
Y2 - 4 April 2018 through 6 April 2018
ER -