Our education and training opportunities bring together experts across domains in research computing, research data management, digital humanities, data visualization, and scholarly communication, in order to offer a wide range of events, resources, and support throughout the research data lifecycle. We do this by teaching workshops, courses, tutorials, and informal seminars, and by hosting one-on-one and group consultations to teach important skills in working with data.

Interdisciplinary Consultation Hours

Meet virtually with interdisciplinary data experts for help working with all forms of data, coding in R and Python, Digital Humanities, computational and digital research methods, using CU Research Computing resources, and publishing data and open access scholarship. We cohost statistical support with the Laboratory for Interdisciplinary Statistical Analysis (LISA). Advanced registration required to receive the Zoom information.

Trainings, Events, and Courses

Below is a brief catalog of topics and our areas of expertise. We welcome your ideas for new offerings, collaborations and co-sponsorship opportunities. Past collaborators include LISA, RIO, CTL, and ASSETT, to name a few. Please contact us with suggestions and questions. We also host workshops and seminars during regularly scheduled courses, which must be arranged a minimum of three weeks in advance. During the 2020/2021 academic year, we will deliver these virtually through Zoom or digital research guides.

Request Classroom Seminars    View Our Workshop Materials

 

Our Areas of Expertise
 

All Things Data

We specialize in data-intensive research and pedagogy, and supporting open and reproducible research.

  • Research data management planning

  • Finding and collecting data

  • Data wrangling, cleaning and processing

  • Data documentation and hygiene

  • Data storytelling and visualization

  • Publishing and sharing data

  • Storing, archiving and preserving data

  • Data ethics and privacy

  • Open and reproducible research

Coding and Data Science

We support fundamental data science approaches and statistical analysis.

  • Programming in Python

  • Programming in R (with LISA)

    • Introduction to R

    • Statistical Analysis in R

    • Text Mining in R

    • Network Analysis in R

    • Geospatial Analysis in R

    • Structural Equation Modeling in R

  • Processing with big data tools (e.g., Spark and Hadoop)

Digital Scholarship

We empower researchers to leverage digital methods and tools to explore humanities and social science data in innovative and creative ways.

 

  • Digital Humanities + Humanities Data

  • Computational Social Sciences

  • Qualitative data analysis

  • Digital exhibits and platforms

  • Oral histories and interviews

  • Using the HathiTrust Research Center

  • Web scraping, corpus building

  • Text analysis and text mining

  • Social network analysis

  • Geospatial analysis and GIS

Research Computing &
Cyberinfrastructure

We provide assistance with using our large-scale computational resources.

  • The basics of Linux
  • High-performance computing (HPC)
  • Using RMACC Summit and Blanca
  • File transfer with Globus
  • Software containerization (e.g. Docker and Singularity)
  • Long-term data storage with the PetaLibrary
  • The Carpentries
  • Teaching with Jupyter Hub and Jupyter Notebooks
  • Using Git, GitHub and GitPages
  • Parallelizing R

Scholarly Communication

We support researchers in sharing and preserving their scholarly work, in all forms and at all stages.

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Contact Us!

If you have any questions or would like more information, please email us.