Promoting data sharing among Indonesian scientists: A proposal of generic university-level Research Data Management Plan (RDMP)

Dasapta Irawan,Cut Rachmi

doi:10.3897/rio.4.e28163

Abstract

Every researcher needs data in their working ecosystem, but despite of the resources (funding, time, and energy), that they have spent to get the data, only a few are putting more real attention to data management. This paper is mainly describing our recommendation of RDMP document at university level. This paper would be a form of our initiative to be developed at university or national level, which also in-line with current development in scientific practices mandating data sharing and data re-use. Researchers can use this article as an assessment form to describe the setting of their research and data management. Researcher can also develop more detail RDMP to cater specific project's environment. In this Research Data Management Plan (RDMP), we propose three levels of storage: offline working storage, offline backup storage and online-cloud backup storage, located on a shared-repository. We also propose two kinds of cloud repository: a dynamic repository to store live data and a static repository to keep a copy of final data. Hopefully, this RDMP could solve problems on data sharing and preservation, and additionally could increase researchers' awareness about data management to increase the value and impact of their researches.

Highlights

Good data management will support scientific discovery (Wilkinson et al 2016), but at the other end we have been observing cultural barrier in data sharing (Davidson et al 2014)
This paper describes a guideline to build a university-level Research Data Management Plan (RDMP) and how it can promote data sharing among scientists
Due to the large effort to get data in terms of funding, time, and energy, the life time of data should be more than one or two years, as we find to be the general nature in Indonesia research ecosystem (Irawan 2018, Neylon 2017a, Neylon 2017b, Borghi et al 2018) (Fig. 1)

Summary

Introduction

Good data management will support scientific discovery (Wilkinson et al 2016), but at the other end we have been observing cultural barrier in data sharing (Davidson et al 2014). Data management strategy is not just a administrative document, but by far, it plays an important role to guide researchers to store, backup, preserve, and share their research data in a proper and sustainable manner. This paper describes a guideline to build a university-level Research Data Management Plan (RDMP) and how it can promote data sharing among scientists.

Results

Conclusion