Introduction to Active Data Management: Glossary

Explore some of the tools and methods for effective active data management.

Research Data Management is the planning and application of a plan to manage the full data lifecycle, from creation to collection and analysis and then to publication and archiving.

A good data management plan will result in more consistent data, less time spent cleaning data, and reusable data that can generate better impact.

There must be one and only one copy of the ‘‘authoritative’ version of a file.

Everyone must be able to access that version at all times.

A history must be available so that older versions are accessible at need.

Files must be consistently named, without spaces.

Think about where you keep your research and how you share it.

Automated backups can reduce the time and money costs of things going badly.

A backup plan should be in response to your data’s sensitivity and difficulty of collection. It should address risks and mitigations of those risks. It should cost less than being hit by the thing you are defending against.

First key point. Brief Answer to questions. (FIXME)

Publishing your data is important, with good license and sharing information.