This guide provides specific information for researchers in a variety of disciplines. It assists NMSU researchers in complying with federal and publisher mandates requiring open data deposit and preservation. When preparing grant proposals, especially federally funded grants, researchers can no longer state that the data will be stored on a computer, or retrievable from one's personal website, or on a social networking site such as ResearchGate or Academia.edu. Researchers must have a sound data management plan in place before applying for the grant. This guide leads you through the process, providing you with resources and tools to assist you.
Need help writing your data management plan? See Data Management Planning
Want to know what your funder requires for data deposit? See Data Management Policies and Federal Agencies
Are you looking for a repository to deposit your data? See Data Repositories and Directories
Research data management is the organization, storage, preservation, and sharing of data collected and used in a research project. It deals with managing the research data during the lifetime of a research project and it involves decisions about how the data will be presented and shared once the research project is finished. An example of this is depositing the data in a freely available data repository for long-term archiving and access.
There are many reasons why managing your research data is important. Consider:
|Well-managed data are sharable because data are:||Researchers benefit from open data because:|
|Machine-readable||Findings can be validated by other researcher replication|
|Available in entirety||Data sets are another way to promote and share scholarly work|
|Freely obtainable (or inexpensive)||Existing open data is a foundation for subsequent research|
|Organized in an easy-to-interpret manner||Awareness of data aids scholars to avoid duplication|
|Easily manipulated using popular software||Little, if any, explanation is needed when researchers get and use the data|
|Preserved for posterity and use|
And if none of these reasons convinces you, watching this short, humorous film just might.
A data management horror story by Karen Hanson, Alisa Surkis and Karen Yacobucci, from the New York University Health Sciences Library. This is what shouldn't happen when a researcher makes a data-sharing request! Topics include storage, documentation, and file formats. CC BY