"Data management is the process involved in creating, obtaining, transforming, sharing, protecting, documenting and preserving data." [Source]
Why is it important to manage your data?
Digital Research Data LifeCycle by Amanda Tarbet is licensed under a
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
A data management plan (DMP) is a formal document that describes in detail how you will manage, analyze, and store your data both during your research, and after the project is completed.
The usual components of a Data Management Plan (DMP) include:
Required steps for a DMP:
DMP Tools and Templates
Research Data MANTRA is a free, UK-based, non-assessed course with guidelines to help you understand and reflect on how to manage the data you collect throughout your research. The course is particularly appropriate for those who work with digital data.
Research Data Managment (LibGuide) is an introduction to research data management, including benefits and obligations. This extensive Library Guide is curated by the Curtin University Library of West Perth, Australia.
Writing a Data Management Plan provides table of questions that can help you to begin to think about how you will manage your data and the answers will be useful for developing the content of a data management plan.
Best Practices in Data Management provides a list of practices that are fundamental to effective data management and can be applied to all disciplines.
Data storage refers to how and where the data is stored. It is important to consider the size of your data set when considering where to store it, as well as how much memory your computer has. Data can be stored on a hard drive or through a cloud device. When deciding how to store your data, also consider the security of your data.
A repository is a space within which an item(s) are stored. A data repository is a space where data is stored. Depositing your data into a repository enables the datasets to be stored for long-term use.