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MATH 7346: Sorto: Open Data

Course guide for Dr. Sorto's MATH 7346: Quantitative Research Analysis Class

Open Data

The Institute of Education Sciences (IES) is committed to advancing education research through providing access to scientific data collected through its grant-funded research programs. Such access provides opportunities for other researchers to review, confirm or challenge study findings, which is an important aspect of the scientific process. In addition, providing access to data can enhance scientific inquiry through a variety of other analytic activities, including the use of shared data to: test alternative theories or hypotheses; explore different sets of research questions than those targeted by the original researchers; combine data from multiple sources to provide potential new insights and areas of inquiry; and/or conduct methodological studies to advance education research methods and statistical analyses.

Tips for your assignments

Open Data sources mix field surveys and questionnaire research, so when looking for questionnaire survey tools include the term "questionnaire" in your search strategy.

Selected Education Data Repositories

Selected General Sources for Data

Deposit your own data

What is the Dataverse Repository?

The Texas State University Dataverse Research Data Repository is an open access data repository for researchers affiliated with Texas State University. The 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 State University Library and hosted by the Texas Digital Library.

General policies for Dataverse Repositories are available here. For further information on using the Repository, please consult the User Guide or contact us at digitalcollections@txstate.edu.

Even more Data

Dissertations