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Data Management Practices for Early Career Scientists

Submitted by ORNL DAAC Staff on 2015-04-16
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Scientists spend considerable time conducting field studies and experiments, analyzing the data collected, and writing research papers, but an often overlooked activity is effectively managing the resulting data.

On April 19th at the NASA Carbon Cycle & Ecosystems Joint Science Workshop, the ORNL DAAC is hosting a workshop to provide guidance on fundamental data management practices that investigators should perform during the course of data collection to improve the usability of their data sets.

Data Management Practices for Early Career Scientists is targeted for graduate students and post-docs but it is open to any researchers who would benefit from developing better data management skills. Faculty members who would like to include exercises on best practices for preparing data as part of their curricula are encouraged to attend.

Topics covered will include data structure, quality control, and data documentation. We will also discuss the elements of an effective data management plan for use in grant proposals and project planning. Workshop participants must bring their own laptop to participate in hands-on activities and are encouraged to bring their own data sets, which instructors will assist in organizing. By following the practices taught in this workshop, your data will be less prone to error, more efficiently structured for analysis, and more readily understandable for any future questions that they might help address.

For more on the workshop, see the NASA Carbon Cycle & Ecosystems Joint Science Workshop's page for details.