Data Services
Overview
Research data management concerns the organization of data, from its entry to the research cycle through to the dissemination and archiving of results. It aims to ensure reliable verification of results, and permit new and innovative research built on existing information. It concerns how researchers:
- Create data and plan for its use
- Organize, structure, and name data
- Keep the data including making it secure, proving access, storage and backing it up
- Find information resources, and share with collaborators, publish and get cited.
DMPTool and UNI
A data management plan is a formal document that outlines what you will do with your data during and after a research project. Many data management issues can be handled easily or avoided entirely by planning ahead. With the right process and framework it doesn't take too long and can pay off enormously in the long run. The DMPTool helps researchers create data management plans (DMPs). It provides guidance from specific funders who require DMPs, but the tool can be used by anyone interested in developing generic DMPs to help facilitate their research. The California Digital Library makes available the DMPTool site. UNI is a partner institution and has established an account for the University of Northern Iowa in the DMPTool system. To log into UNI's institutional account, go to the "Login" feature located at the top of the page and enter your UNI email address in the Email address box. Next, click the "Continue" button and then the "Sign in with Institution (SSO)" button. You will be directed to the UNI CatID authentication page.
DMPTool (California Digital Library)
Archiving data sets in UNI ScholarWorks
Often grant funders or journal publishers have requirements about depositing data sets in an open repository. UNI faculty and students can archive and preserve their data sets in the University of Northern Iowa's institutional repository, UNI ScholarWorks. Interested UNI faculty, staff, and students should send an email message to scholarworks@uni.edu and complete the Data Sets Collection Form.