Managing Your Data
Xuan Zhou
Learning Objectives
- Understand the concept of Research Data Management (RDM) through the research data lifecycle
- Learn about the resources of RDM that are available through the Texas State University Libraries
- Navigate to the TXST Research Data Management Website for more information
Data Management Practices for the Research Data Life Cycle
Research Data Management (RDM) practices cover the entire lifecycle of the data, from planning the investigation to conducting it, and from backing up data as it is created and used to long term preservation after the research investigation has concluded. Good data management helps you: meet requirements set by funding agencies and publishers; ensure that your data is complete, documented, and accessible; encourage the discovery and reuse of data to further discoveries; raise the profile and recognition of your research, and receive credit for your data and increase its impact and visibility
RDM Resources at TXST University Libraries
At Texas State University Libraries, the Research Data Service team offers a variety of research data management services, including:
- Assistance with Data Management Plan (DMP)
- DMP draft review and consultations
- We can help explain funder and publisher requirements for data sharing or DMPs
- Funding agencies’ requirements:
- We provide DMP template language for TXST researchers.
- We provide consultation services for DMP development and draft review
- Book a consultation with the library Data Curation Specialist
- We can help explain funder and publisher requirements for data sharing or DMPs
- Develop a quality DMP using DMPTool
- DMPTool is the authoritative way to build your data management plan. DMPTool.org has templates from all the major funders, and sample language specific for Texas State University researchers to help you write a great DMP.
- You can use your Texas State NetID and password to log in.
- DMP draft review and consultations
- Assistance with research data organization and curation
- We provide a guide on best practices for data organization and curation
- Data preservation and sharing at TXST Dataverse Repository
Click on “Research Data Management Basics at TXST” to learn more in Canvas!
The organization, management, publication, and preservation of the products of research.
A data management plan is simply a 1-2 page summary explaining how you are planning to manage the data gathered in the course of your research project. Most funding agencies are asking researchers to submit a data management plan as part of their grant application