Discovering Dataverse Collection: Home

What is the Texas Tech University Dataverse Collection?

The Texas Tech University Dataverse Collection is an open access data repository for researchers affiliated with Texas Tech University, this repository consists of datasets produced by the University community, available for public access and re-use.

Each dataset includes citation information and a Digital Object Identifier (DOI), facilitating attribution, usage tracking, and linking of data to research publications.

The repository can play an important role in fulfilling Data Management Plan requirements by funding agencies, such as NSF and NIH, and provide for data re-use and archiving. This archive is supported by the Texas Tech University Library and hosted by Texas Digital Library.

General policies for the Dataverse Collection are available here. For further information on using the Repository, please consult the User Guide or contact matthew.mceniry@ttu.edu.

Texas Data Repository User Guide

A comprehensive guide to using the Data Repository with screenshots for every step of the process.

Researcher Information Sheet

A short guide on why and how to use the Data Repository.

Data Management Overview

A guide on data management best practices to help you create plans for projects, grants, and to add into your research lifecycle. 

• Depositing your data is easy!
• Citation information and a Digital Object Identifier (DOI) for your data.
• Sharing data increases impact and visibility of data.
• Can fulfill grantor Data Management Plan requirements for access and sharing.
• Journals may require data access and Dataverse has a number of access options for outside researchers.
• Easy links to related publications.
• Provides usage counts for access to your data.
• Set access and usages permissions from view only to full administrative rights.
• Fits into "responsible conduct of research"
• Reduce risk of data loss for you and the University, counts as one geographically diverse place to store your data
• Verification of data affiliated with articles.