General Information
- What is the Texas Data Repository (TDR)?
- What is the Dataverse software?
- What’s the difference between a dataverse Dataverse collection and a dataset?
- Who is behind this project?
- What is the Texas Digital Library?
- How do I know if my institution is participating in TDR?
- How do I get started?
- Why should I deposit data in the Texas Data Repository?
Policies
- What kind of data can I deposit?
- What format should I use to provide access to my data?
- How large can datasets be?
- What are the options for access to my data and licensing?
- What will it cost me to deposit data?
- I have data that contains identifiable information about human subjects. Can I add it to the repository?
Sharing Data
- How can I share my data with colleagues without making the data public?
- What if someone I want to share my data with someone who doesn’t have a user account in TDR?
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General Information
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What is the Texas Data Repository?
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- The Texas Data Repository is a platform for publishing and archiving small datasets (and other data products) created by faculty, staff, and students at Texas higher education institutions. The repository is built in an opensource application called Dataverseopensource application called the Dataverse software, originally developed and used by Harvard University.
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- The Texas Data Repository is an installation of open source Dataverse software. Dataverse software is a free and open source software platform for publishing, citing, and preserving research data. The Dataverse software was developed by the Institute for Quantitative Social Science (IQSS) at Harvard University. Harvard’s IQSS operates the largest Dataverse repository, with roughly 60,000 datasets. Each Dataverse software installation is interoperable with other Dataverse installations and systems (like Open Journal Systems), providing opportunities for greater visibility of data.
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What’s the difference between a dataverse and a dataset?
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- A dataverse Dataverse collection is a container for datasets (research data, code, documentation, and metadata) and other dataversesDataverse collections, which can be setup for individual researchers, departments, journals and organizations.
- A researcher who logs in to the Texas Data Repository can create a dataverse Dataverse collection as a place to collect all their datasets. (Alternatively, they could just deposit datasets into the repository without creating a dataverse Dataverse collection to contain them. There is no requirement to create a dataverseDataverse collection.)
- If a researcher does create a dataverseDataverse collection, they become the administrators of that dataverseDataverse collection, with the ability to change to customize the logo and description of that dataverseDataverse collection, control access restrictions to the dataverseDataverse collection, create templates for datasets deposited there, and create guestbooks to track who downloads their datasets.
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- Log in to https://dataverse.tdl.org using your institutional username and password. You’ll see a drop down menu where you can select your institution’s name. Then just use your regular institutional credentials to log in.
- Optionally, create a new “dataverse”Dataverse collection for collecting all your datasets in a single location. A dataverse Dataverse collection is simply a container for collecting multiple datasets or studies.
- Add a dataset, which can include multiple files such as raw data files and supplementary materials.
- To help others discover and understand the data, provide some information about what you’ve uploaded in the forms provided.
- Hit publish! Or, if you would like to restrict access to the data, you can share only with a select few.
- Go to the TDR User Guide for more detail.
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- Researchers can upload any type of data file through the Dataverse softwar. Additional features and support for certain types of data files exist, such as:
- Whenever possible, it is advisable to provide data in non-proprietary formats (e.g., CSV or XML) in order to ensure broader use for researchers with access to different analytic software. Note that data must be provided in an electronic format. Additional information on best practices for file formats is available here.
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- There are several ways to share data you deposit in the TDR without publishing the data. Go to the User Guide Sections 3.2 and 3.4 for more detail.
- You can provide access to restricted files with anyone (whether they have a TDR user account or not) by creating a private URL.
- You can include others with TDR user accounts to collaborate in the management of datasets, files, and dataversesDataverse collections. More about sharing data.
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