Education & Training

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.

Data and Project Consultations and Interdisciplinary Consultation Hours

Meet in-person or virtually with interdisciplinary data experts for help working with all types of data and research computing resources. See our Areas of Expertise below for a snapshot of what we can offer you and your research team, and checkout our support tiers. To set-up a consultation, please email us.

During the regular academic year, we offer open consultation hours on zoom and in-person Tuesdays in our CRDDS training space in Norlin Library, E206, and zoom only on Thursdays. Note that summer consultations are by appointment - please email us. For statistical support, please submit a LISA collaboration request.

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. We also host virtual, hybrid, and in-person workshops and seminars during regularly scheduled courses, which should be arranged a minimum of three weeks in advance. Generally, we do not record our trainings in order to foster full engagement and to protect learners' privacy.

To learn more and register for these workshops, visit the CRDDS events page. If you would like to request training on a particular method or tool, please let us know.

  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

    • 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 Alpine 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.