This article looks at the data lifecycle management phases and the many tools that exist to help manage data throughout the process. These tools will help researchers make the most out of their data, save time in the long run, promote reproducible research, and minimize the risks with the data. The lifecycle management phases are: discovery, acquisition, analysis, collaboration, writing, publication and deposit in trusted data repositories. There are tools in each of the areas. A few of the many tools listed are:
- How to Develop a Data Management and Sharing Plan
- DMPonline and DMPTool to help write data management plans.
- Recommended Data Formats
- ownCloud synchronizes and shares data on several computers
- re3data global registry of 1,200+ research data repositories in different disciplines