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- The Texas Data Repository is a platform for publishing and archiving 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 The repository is built in an open source 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 60over 150,000 datasets, and growing. 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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- A Dataverse collection is a container for datasets (research data, code, documentation, and metadata) and other Dataverse 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 collection as a place to collect all their datasets. (Alternatively, they could just deposit datasets into the repository without creating a Dataverse collection to contain them. There is no requirement to create a Dataverse collection.)
- If a researcher does create a Dataverse collection, they become the administrators of that Dataverse collection, with the ability to change to and customize the logo and description of that Dataverse collection, control access restrictions to the Dataverse collection, create templates for datasets deposited there, and create guestbooks to track who downloads their datasets.
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- The Texas Data Repository is hosted and maintained by the Texas Digital Library, a collaborative consortium of academic libraries based in Texas and rooted in higher education with a proven history of providing shared technology services that support secure, reliable access to digital collections of research and scholarship.
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- The Texas Digital Library (TDL) is a consortium of collaborative consortium based in Texas and rooted in higher education institutions in Texas that provides shared services in support of research, teaching, and the advancement of scholarship. that builds capacity among its membership for ensuring equitable access to and preservation of digital content of value to research, instruction, cultural heritage, and institutional memory. The TDL provides a range of services and engagement opportunities to members including shared software hosting, technical support, professional development opportunities, and collaborative engagement.
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There are a number of reasons why you might want to deposit data, including?:
- To comply with funding requirements. The Texas Data Repository can help you comply with funder mandates data archiving and sharing, and gives you resources for developing data management plans and grant applications.
- To ensure reliable, managed access for data. The Texas Data Repository gives you a convenient and reliable place to collect and share your data. And by depositing data there, you benefit from the TDL’s focus on long-term access and preservation of your content.
- To increase scholarly impact. By publishing your data in the Texas Data Repository, you give your data a DOI, making it easy for others to cite reliably.
- To collaborate with research teams. Some situations may necessitate restricting access to data, at least for a period of time. The Texas Data Repository allows you to share your data with a select group of colleagues, version your data, and publish it when you’re ready.
- To have access to local support through your institution’s library. Along with robust technical support from the Texas Digital Library, you can rely on trained librarians at your home institution to assist with multiple phases of the research cycle, including data management planning, preparation for data publishing, and long-term curation.
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- Researchers can upload any type of data file through the Dataverse softwarsoftware. 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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What will it cost me to deposit data?
- Currently, there There is no charge to researchers from participating TDL institutions who deposit their data in the Texas Data Repository, within the volume limits explained above (4GB per file, 10GB total per dataset).
- The Texas Digital Library through funding from its member institutions maintains and supports the Texas Data Repository through funding from its member institutions.
I have data that contains identifiable information about human subjects. Can I add it to the repository?
- No. Users of the repository must NOT add data to the repository that contains confidential or sensitive information.
- In order to deposit data in the repository, users must agree to a “terms of use” statement in which they acknowledge that the repository will NOT accept content that contains confidential or sensitive information, and requires that contributors remove, replace, or redact such information from datasets prior to upload.
- Confidential or sensitive information refers to all identifiable information, such that re-identification of any subjects from the amalgamation of the information available from all of the materials is possible and can include: social security numbers; credit card numbers; medical record numbers; health plan numbers; other account numbers of individuals; or biometric identifiers (fingerprints, retina, voice print, DNA, etc.).
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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 Dataverse collections. More about sharing data.
What if someone I want to share my data with
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doesn’t have a user account in TDR?
- If you just want to provide “read” access to restricted files, you can create and share a private URL that anyone (whether they have a user account or not) can use to access the data. See Section 3.4 of the User Guide for instructions on sharing via a private URL.
- Other types of sharing and collaborating require that those you are sharing with have user accounts in the TDR. See Section 3.5 of the user guide for instructions on inviting them to create user accounts.
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