How to Extend your Data Lifetime: Research Data Management in Indonesia’s Context

DOI

10.2991/iclick-18.2019.33How to use a DOI?

Keywords

Research data management, data sharing, open data

Abstract

Data is the basis of research. On the other side, the world has a problem of replication. The first problem is we don’t really know how to manage our own data to able to reanalyze it at some point after the research has been finished. The lifetime of data is very short, in only one or two fiscal years. In this article we will describe on how to write a research data management in order to extend the lifetime of data. There are seven basic components to remember before writing a proper research data management: (1) Data storage and software, (2) Metadata, (3) Structure, (4) Persistent link, (5) Licensing, (6) Data maintainer, (7) Indexing. In several fields, including medicine, an anomyzation strategy will be needed. We also need to put into account the Intellectual Property Rights and data ownership in to the equation, as Indonesian scientists are not properly exposed to those subjects.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dasapta Erwin Irawan
AU  - Cahyo Darujati
AU  - Santirianingrum Soebandhi
AU  - Fierly Hayati
AU  - Deffy Ayu Puspito Sari
PY  - 2019/07
DA  - 2019/07
TI  - How to Extend your Data Lifetime: Research Data Management in Indonesia’s Context
BT  - Proceedings of the 1st International Conference on Life, Innovation, Change and Knowledge (ICLICK 2018)
PB  - Atlantis Press
SP  - 162
EP  - 165
SN  - 2352-5398
UR  - https://doi.org/10.2991/iclick-18.2019.33
DO  - 10.2991/iclick-18.2019.33
ID  - ErwinIrawan2019/07
ER  -