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Research Data Services

A guide to UNM's Main campus data service ecosystem

Services for Main Campus Researchers

UNM researchers (faculty, staff, and students) have a suite of data collection, analysis, and management services available to them. The list below includes every main campus service we know about with information on who to talk to for access to the service or a link out to information on use. Never hesitate to contact University Libraries Research Data Services (RDS) team for consultation support to navigate UNM's research data ecosystem, or to request an update to the list. 

  • Data management planning: Multiple organizations on campus are poised to support your data management planning process to meet the needs of specific funders. See Data Management Plans, below, for a comprehensive view of resources available to you. For full Research Management Planning, I recommend researchers to look at Open Science Framework
  • Data collection platforms: UNM IT's Software Store is the place to go to request access to campus licensed software: 
    • Qualtrics, a robust survey design and implementation platform
    • Microsoft Office's collaborative Forms that integrate well across the Office products like OneDrive and Teams
  • Data curation: RDS librarians help campus researchers prepare their data for sharing with the greater disciplinary community through a process called data curation. Think of it like peer review for your dataset. If you have disciplinary or timeline needs that are beyond our capacity, we will use the University Libraries membership in the Data Curation Network to get assistance.
  • Data storage: Researchers may have different storage needs depending on the research phase they are in. This storage location list will let you know what resources are available:
    • OneDrive: With the campus license of Office, you have access to Microsoft's cloud file storage system called OneDrive. This system is designed for permissions-based file sharing and storage. It is not access-audit ready, so is not suggested for private or legally-regulated data. 
    • "Secure" SharePoint: Set-up a secure project storage location in SharePoint by coordinating with your Area IT contact. Initial project spaces are limited to 1 TB of server space. If you know your project will need more, work with your IT contact. This is also a permissions-based file sharing and storage system, based on the same infrastructure as OneDrive, but with access-audit ready tracing. This means IT can see each user who has accessed a file and can verify that private data has only been accessed by individuals permitted to access it. 
    • LoboGit: This service of University Libraries IT is available for log in by anyone with UNM credentials. LoboGit is structured exactly like the Microsoft-owned GitHub, but is a locally-hosted service with limited load speed and space. Any single user should limit their complete footprint to 2GB. This is ideal storage for coding files, jupyter notebooks, and documentation for courses that allow for version transparency and a student's first introduction to repository use and creation.
    • Qualtrics: Keeping private or identifiable data in the place where it has been collected is perfectly reasonable!
    • Local machine: Using a local machine as temporary storage between the data collection platform and uploading de-identified data to a permissions-based sharing location is sensible. This is IT preferred over the use of external drives. Additional guidance on handling personally identifiable information can be found from the OVPR Responsible Conduct of Research team.
    • UNM Digital Repository: This service of University Libraries Digital Initiatives and Scholarly Communication (DISC) team, is home to the full history of UNM's thesis and dissertations. It is also intended to be the lasting repository of your scholarly output. Single files greater than 35GB cannot be submitted without coordination with DISC because the process will timeout. Final products are currently more findable than datasets within this repository. Use the Author Corner for guidance on submitting work. 
    • Non-UNM Membership Repositories: University Libraries supports campus-memberships to multiple repository services. Before you submit to a repository, your dataset must be fully documented. The documentation process is referred to as data curation and RDS librarians are here to help you with it!:
      • Dryad: The Dryad Repository is purpose built for data. University Libraries maintains a membership so that the full research community can store up to 10GB dataset files for free and pay reduced costs for larger data. Use your UNM credentials when creating an author profile, indicating our membership in order to have a no-cost-to-you submission process.
      • ICPSR: The ICPSR is the recognized standard of high-quality social sciences research data. Datasets can be submitted through the full review process, which includes rigorous standards of documentation thoroughly reviewed by University of Michigan ICPSR staff before becoming publicly available. Researchers can also submit using the OPEN ICPSR which still has documentation standards, but is not reviewed by staff persons before publication to the repository. 
      • LabDrive: Like the Digital Repository, access to this digital preservation storage location is mediated through University Libraries. If you want forever space within this service, contact the RDS team.
    • Non-licensed external services (ie. box, DropBox, Google Drive, GitHub, OSFStorage, Zenodo): We're familiar, as users and librarians, with multiple non-licensed external storage services. Get in touch to talk through considerations for use in your specific project.

Consulation & Support

Data Management Planning Support

We are here to help research team develop the most effective plans for managing their research data and in developing the written data management plans that most funding agencies now require as part of funding proposals submitted for their consideration.

  • Data formats
  • Data collaboration, storage and backup strategies
  • Documentation strategies and standards
  • Research area-specific repositories & archives
  • Strategies for meeting publisher data sharing requirements
  • Developing agency-specific Data Management Plans

Data Reference Support

Working in data intensive research areas often requires access to data developed and shared by others. The Research Data Services team in the University Libraries is here to help you in your research activities.

  • Locating data for use in proposals, pilot or research projects and instructional programs
  • Evaluation of alternative data management tools, technologies and strategies
  • Identifying both on- and off-campus collaborators

Data Management Support

Effective research data management often involves thinking about what the entire workflow from initial data acquisition, through analysis and visualization, to publication and sharing. The RDS team in UNM's Libraries is here to help in supporting your end-to-end data management process.

Recommendations for:

  • data management strategies & workflows
  • analysis tools and technologies
  • visualization tools and technologies
  • strategies for meeting computational and data intensive research needs

Integration of research data products into LoboVault, including batch import of large data collections

Support for integration of research data into other repositories

Instruction and Training

Research data management is a continuously evolving discipline in which continuous learning and practice of new skills and strategies is the norm. UNM's RDS team works very hard to stay abreast of ongoing developments in the field and is provides training and instruction for classes, lab groups and individuals in a wide variety of subject areas.

General and Custom Data Management Traning Sessions:

  • data managment first principles
  • data documentation (metadata)
  • collaboration tools (LoboDrive & LoboGit)

About Us

This guide was created and is maintained by librarians Margo Gustina and Jon Wheeler. Questions about the guide? Please email Margo Gustina (mgustina[at]unm.edu).

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