Scan Tech Studio (STS)

It is important to have considered a research question prior to digitizing materials in the Scan Tech Studio, as well as a plan on how you will use your materials to answer this question. If you do not, you may find later that you scanned the wrong materials, or not enough of them. It could be that you needed a better or different file type for your workflow. 

To avoid redundant visits, we suggest that you consider the following when evaluating your research question:

Identify a general interesting topic that you would like to research. Carefully examine the existing literature on your topic of interest to learn more about what others have already done or are doing. A research question should be clear, focused, complex, and arguable:

Is your research question clear?

• It should provide enough specifics that your audience can easily understand its purpose without needing additional explanation.

Is your research question focused?

• It should be narrow enough that it can be answered thoroughly in the space that the assignment allows.

Is your research question complex? 

• It should not be answerable with a simple “yes” or “no,” but rather requires synthesis and analysis of ideas and sources prior to producing any answer.

Is your research question arguable?

• Its potential answers should be open to debate rather than exist as accepted facts.

Adapted from: “How to Write a Research Question.” n.d. The Writing Center. https://writingcenter.gmu.edu/writing-resources/research-based-writing/how-to-write-a-research-question.

When scanning material:

• Take several test scans to determine what would be the best way to capture your image; be prepared to re-adjust throughout the scanning process. Best practices can be found on the STS Equipment page.
• Consider long-term data management.
• Maintain consistent file-naming practices.
• Save files in stable, non-proprietary, and lossless file formats, whenever possible.
• Document your process for future reference of your workflow, decision-making, and to maintain consistency throughout. 
• Save data in at least two places: ideally a physical drive and Cloud-based location
  • Cloud storage option provided by UT can be found here.
  • Check the health of the drive on a regular basis and transfer/copy files to a new drive as needed.

Why Share your Work?

It is important to think about a long-term plan from the earliest outset of your project so that you can set aside enough time and resources to ensure that your data will be accessible long after your project is over. Publishing to a digital repository can keep data preserved and accessible:

• Digital repositories provide a stable URL or digital object identifier for preservation & sharing your work in your portfolio.
• Outside of a journal’s paywall and discoverable by Google Scholar, your work can be found by a wider audience.
• Publication is open access, allowing access without a financial burden.

If increased access and preservation are of interest to you, please read more on our Archiving and Sharing Your Work library guide.

Repositories

When looking to store your work in a repository, consider using one provided by UT. Some benefits of using a UT repository for your work are:

• The library commits to the long-term preservation of content deposited in Texas ScholarWorks(TSW) and commits to at least 10 years of access to content deposited in Texas Data Repository (TDR). 
• Each item uploaded gets a digital object identifier (DOI) that makes citing work easier and more persistent.
• TSW and TDR are indexed by major search engines like Google.
• Usage data for your uploaded works are available.
• Texas Data Repository (TDR) was purpose-built for data, so it has functionality like version control and access options that are more robust than a typical publications repository.
• Texas ScholasWorks (TSW) offers a library managed option that frees up your time for other responsibilities.

Texas ScholarWorks (TSW)

• TSW is UT’s web-accessible DSpace repository, managed by UT Libraries. A free and secure place for archiving and sharing faculty research output, it provides persistent URLs, searchable metadata, full-text indexing and long-term preservation.

Texas Data Repository (TDR)

• TDR is hosted by the Texas Digital Library, and based on Harvard University’s Dataverse platform, TDR is a long-term solution for the preservation and dissemination of UT’s research data. Affiliates of UT-Austin may deposit and publish datasets of up to 4GB each in TDR free of charge. Published datasets in the TDR are assigned Digital Object Identifiers (DOIs), are publicly accessible, and are free to access and download.

Discipline Specific Repositories:

• Archive of the Indigenous Languages of Latin America (AILLA) AILLA's primary mission is to preserve materials in and about the indigenous languages of Latin America.
• Inter-university Consortium for Political and Social Research (ICPSR) ICPSR maintains a data archive of more than 250,000 files of research in the social and behavioral sciences. It hosts data collections in education, aging, criminal justice, substance abuse, terrorism, and other fields. Free with UT institutional membership.
• Qualitative Data Repository (QDR) QDR curates, stores, preserves, publishes, and enables the download of digital data generated through qualitative and multi-method research in the social sciences.
• Re3data.org is a global registry of data repositories organized by academic discipline. A rating system and faceted browsing can help you find the best place to deposit your data. Free with UT institutional membership.
• Scientific Data Recommended Repositories - A list of disciplinary and open repositories that meet the data access, preservation and stability requirements of Nature's Scientific Data journal.​
• NIH Data Repositories - National Institutes of Health-supported data repositories that make data accessible for reuse. Most accept submissions of appropriate data from NIH-funded investigators (and others), but some restrict data submission to only those researchers involved in a specific research network.

Open Access Directory - A list of data repositories worldwide.