A Data Management Plan (DMP) is a document that outlines your practices for collecting, organizing, backing up, and storing the data you create.
Action Plan for Creating and Implementing a DMP:
Data sets submitted to LSU Digital Commons are reviewed by staff to ensure that data is in a format and structure that best facilitates long-term access, discovery, and reuse. Size limitations may prevent some data sets from being added to Digital Commons. Consult with in advance to review available options.
A long-term data sharing and preservation plan will be used to store and make publicly accessible the data beyond the life of the project. Data management for this project will be supported by LSU Digital Commons, the institutional repository for LSU: https://digitalcommons.lsu.edu/. This uses the Digital Commons software, powered by bepress, in order to disseminate and archive the scholarly output of the LSU community. Digital Commons provides full-text indexing in major search engines for discoverability of content and provides secure infrastructure for storage and preservation with multiple backups, cloud storage with Amazon Glacier, and a multi-tiered disaster recovery plan. The investigators will consult with the LSU Libraries to facilitate the ingestion of data into Digital Commons and to ensure that appropriate descriptive metadata standards are in place for all datasets and their supplementary materials. The datasets will be published in LSU Digital Commons for long-term preservation. This will provide it with unique, persistent URLs.
For consultation and feedback on your DMP, contact us. We will consult with you or point you to the right person, resource, or service on campus.
Creating a Data Management Plan
For faculty and researchers, we will provide an overview the data management planning process. This workshop includes discussion and works through data management topics through group and paired activities.
Data Management for Graduate Students
Focused on core elements of data management, such as effective data storage options, sharing and reuse policies, metadata, ethical and legal considerations, and preservation of data, and internal and external resources.