Page 85 - ITU Journal - ICT Discoveries - Volume 1, No. 2, December 2018 - Second special issue on Data for Good

ITU JOURNAL: ICT Discoveries, Vol. 1(2), December 2018

UNDERSTANDING BARRIERS IN THE IMPLEMENTATION OF THE ONE DATA POLICY IN
INDONESIA: INSIGHTS FROM HEALTH DATA JOURNEY MODELLING

Arthur Glenn Maail
Open Data Lab Jakarta

Abstract – The Indonesian One Data policy is designed to improve internal government data governance
practices by providing a regulatory framework concerning organizational structure, including the roles,
tasks, and responsibilities of each key stakeholder. It also specifies mechanisms to ensure the preparation,
collection, and/or processing of data that meets data standards, the application of metadata according to
the standard format, and dissemination of data according to the principles of data interoperability. We
conducted a data journey modelling for three key health datasets to identify challenges and barriers in data
flow across local and national government agencies. The findings highlight the critical role of the local
government leaders and data custodians, enforcement of data standards and policies, and compliance
(including a mechanism to enforce penalties for non-compliance) to the successful implementation of the
One Data policy in Indonesia.

Keywords – Data governance, data journey modelling, data standard, Indonesia, local government

transformational government, Big and Open
1. INTRODUCTION Government Data can foster collaboration, promote
greater openness and usher in a new era of policy
One Data Indonesia (One Data) is an initiative of the and decision making [3].
Government of Indonesia (GoI) to improve
interoperability and the use of government data. It However, before any big data program can produce
is envisioned that the accuracy, openness, and a meaningful impact, prior studies have highlighted
interoperability of government data will be assured an importance of addressing a range of policy
by improving data governance practices through challenges concerning data governance including a
structuring regulatory and institutional robust technology infrastructure for organizing,
frameworks, standardizing and synchronizing data curating, storing, and making datasets accessible
assets, building the capacity of agencies and among agencies and to the public as the main
government instrumentalities, and facilitating data prerequisite [1, 3, 4]
interoperability across government agencies. At the
same time, the One Data policy seeks to improve According to DAMA Data Management Body of
data disclosure practices by ensuring the Knowledge (DAMA-DMBOOK), the function of data
availability of high-quality data for the public governance covers the exercise of authority, control
through open data portals at both national and and shared decision making (planning, monitoring
subnational levels. and enforcement) over the management of data
assets. Data governance plays a very important role
2. LITERATURE REVIEW in achieving high data quality. Data governance
creates an organizational structure that develops
The recent advancement in big data technologies and enforces policies, rules, processes, and
and applications including machine learning and procedures to ensure and improve data quality
artificial intelligence has spurred optimism within within an organisation.
the government that these technologies can
enhance their ability to serve the citizens and
address major national challenges involving the
economy, healthcare, job creation, natural disasters,
and terrorism [1, 2]. From “smart” government to

© International Telecommunication Union, 2018 63