Open AccessDATA GOVERNANCE MECHANISMS IN INDONESIA’S COVID-19 DATA INTEGRATION SYSTEM
Author(s) -
Binti Azizatun Nafi’ah
Publication year - 2021
Publication title -
sosiohumaniora
Language(s) - English
Resource type - Journals
ISSN - 2443-2660
DOI - 10.24198/sosiohumaniora.v23i3.28437
Subject(s) - task (project management) , mechanism (biology) , computer science , data governance , corporate governance , data collection , informatics , relation (database) , knowledge management , covid-19 , christian ministry , data science , task management , process management , data mining , business , political science , engineering , operations management , systems engineering , medicine , sociology , social science , philosophy , law , metric (unit) , data quality , pathology , epistemology , disease , finance , infectious disease (medical specialty)
During a pandemic, policy decisions are made quickly and correctly. The need for COVID-19 data becomes an absolute basis for policymaking. This paper focuses on the mechanism of COVID-19 data management in the national COVID-19 task forces to be able to provide valid and realtime data. Researchers used qualitative analysis, with primary and secondary data collection. Researchers interview 3 information from the ministry of communication and informatics as a public communication team in the task force to accelerate the handling of COVID-19. The results showed that even data management was based on structural, procedural, and relational mechanisms. Structure mechanism has been formed strongly through the task force team from the national to the regions. Procedural data mechanisms, although changing procedures are now at the point of data integration. The relation mechanism shows that the coordination and communication relationship between member task forces has been done quite well where coordination is always done quickly.