An Analysis of the Open Government Data Ecosystem in Tangerang Regency to Promote Data Sharing Initiatives

Data sharing initiatives are being actively promoted by the Indonesian government with the objective of strengthening inter-organizational collaboration, foster transparency, supporting informed decision-making, and facilitating research and innovation. Open Government Data (OGD) which is freely available to the public for reuse and redistribution, consider to be one of the most essential public services. A comprehensive analysis of the Indonesian context is essential to determine the most effective ecosystem for fostering data sharing initiatives through OGD. This qualitative case study investigates the OGD ecosystem in Tangerang Regency, aiming to identify its constituent elements and assess its implementation. Data was gathered through observation, in-depth interviews with government officials, and a thorough analysis of relevant OGD-related documents. The findings reveal that the OGD ecosystem in Tangerang Regency is primarily influenced by policy frameworks, key actors and their roles, relationships between actors, data availability and quality, and the utilization of OGD platforms. While the implementation of this ecosystem demonstrates significant potential for enhancing transparency, accountability, and public engagement, further efforts are necessary to fortify inter-stakeholder collaboration, and foster data literacy within the community.

Authors

Institutions

Publication Details

Published
2024-10-09
DOI
https://doi.org/10.1109/ic3ina64086.2024.10732524
Primary Topic
Information Retrieval and Data Mining
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Analysis of the Open Government Data Ecosystem in Tangerang Regency to Promote Data Sharing Initiatives

Arif Ramadhan, Hayuning Titi Karsanti, Darmawan Napitupulu, Arti Dian Nastiti et al.
Information Retrieval and Data Mining
article

An Analysis of the Open Government Data Ecosystem in Tangerang Regency to Promote Data Sharing Initiatives

Arif Ramadhan, Hayuning Titi Karsanti, Darmawan Napitupulu, Arti Dian Nastiti, Gita Citra Puspita, Marini Wulandari, Witra Apdhi Yohanitas, Sri Agustiningtyas
article en

Abstract

Data sharing initiatives are being actively promoted by the Indonesian government with the objective of strengthening inter-organizational collaboration, foster transparency, supporting informed decision-making, and facilitating research and innovation. Open Government Data (OGD) which is freely available to the public for reuse and redistribution, consider to be one of the most essential public services. A comprehensive analysis of the Indonesian context is essential to determine the most effective ecosystem for fostering data sharing initiatives through OGD. This qualitative case study investigates the OGD ecosystem in Tangerang Regency, aiming to identify its constituent elements and assess its implementation. Data was gathered through observation, in-depth interviews with government officials, and a thorough analysis of relevant OGD-related documents. The findings reveal that the OGD ecosystem in Tangerang Regency is primarily influenced by policy frameworks, key actors and their roles, relationships between actors, data availability and quality, and the utilization of OGD platforms. While the implementation of this ecosystem demonstrates significant potential for enhancing transparency, accountability, and public engagement, further efforts are necessary to fortify inter-stakeholder collaboration, and foster data literacy within the community.

National Research and Innovation Agency (ID)
Openalex Percentile: Top 70%
Information Retrieval and Data Mining
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.