STRATEGIES AND CHALLENGES IN ARCHIVING AND SHARING RESEARCH DATA

Abstract

Research data management is increasingly important for research sustainability and the data is best when it is reusable.
Collecting research data from previous research is not always easy, especially if there are no regulations governing
the management of research data. Management of research data is still new in Indonesia and only a few institutions
have implemented these regulations. When requesting research data to initiate research data storage, responses vary.
This raises the question of why the researchers refused to submit their data.This study aims to (1) find out what
researchers in the field of library and information science do about research data management; (2) whether they are
willing to share their research data for reuse; (3) what factors influence the submission of data. This research is a
qualitative research about the acceptability of submitting research data. The informants are researchers in the field of
library and information science in Indonesia. Data was collected through online interviews with several researchers
in their fields. Researchers in Indonesia are still not aware of the importance of managing research data. While the
National Science Agency (LIPI) has launched a Research Data Repository for all research in Indonesia, most
institutions have not implemented regulations regarding the submission of research data within their institutions. This
is also found in the management of subject-based research data, such as the management of library and information
science research data. Lack of understanding about the importance of data usage, data citation and the importance of
data reuse, causes researchers to ignore invitations and inducements to send their research data. The results of the
study also show that (1) Not all researchers are willing to share their data because they are afraid that the data will be
used by other people and want the data to be kept confidential. Indeed, this is different from data hierarchies where
data reusability has the highest value. Some researchers claim that they used the data for once and they let the data
deteriorate. This then causes data loss. Even though they are willing to submit their data, but they can't find their data
anymore. In addition, some researchers admit that they do not have valid data and they feel uncomfortable if others
find out that their data is not valid.