Data Management for Researchers
Research data is increasingly being recognised as a valuable asset and a valid research output. Journals are starting to require that data be made available to support the research conclusions. The sharing of data is being required as a condition of research funding.
High quality data must be well managed. Most research institutions have comprehensive data management policies and procedures to support their researchers.
Good data management practices are a requirement for researchers (and institutions) under the Australian Code for Responsible Conduct of Research.
Data is becoming a recognosed citable output of research. This page from Deakin University on showcasing your data (click open the "Use DRO to showcase your research data" drop down) gives many of the benfits surounding actively manageing and sharing descriptions of your data with the wider scientific community. Use the examples here to counter those who offer excuses as to why they will not share.
ANDS publishes a number of guides covering many aspects of data management. The following selection is particularly relevant to individual researchers working without institutional infrastructure.
||A basic level guide to what needs to be included in a data management plan.|
||This is an introduction to metadata (data about data).|
||An introduction to data storage requirements under the Code for Responsible Conduct of Research along with different types and places for data storage.|
||Explains how effective sharing and re-use of research datasets is built upon end-to-end data management processes.|
||Guide to the issues around data citation, and activities underway to change the culture around data citation in order to support improved data management and sharing.|
||Choosing a suitable file format for data preservation and sharing. This is more important and more subtle than it might seem.|