Training, Workshops & Capacity Building

Ongoing training and workshops are available across the University online, and in person when available, to help researchers learn best practices around research data, methodologies, and transformations.

Below is information about the provider(s) of this service.  Some providers work with members of a specific school, while others are open to the Harvard community more broadly.

Broadly applicable

Harvard Library

Visual Eloquence

A Participatory Workshop on Creating Effective Data Visualizations: Visual Eloquence is a participatory workshop on visualizing data and understanding the powerful role it plays in analysis and presentation for digital scholarship. Participants will learn some fundamental principles for presenting data and will work with others to put them into action. The workshop features brief presentations, a small-group exercise working with a dataset and visualization tools to create a visual presentation, and a discussion.

Fundamentals of Digital Scholarship

This two-day seminar is designed to introduce participants to the core stages of digital scholarship’s research workflow: the acquisition, manipulation, analysis, and presentation of data. The seminar is intended to serve as a springboard for students, faculty, and staff who wish to explore the potential of digital scholarship. It provides a solid foundation from which participants can continue to develop these skills, whether on their own or through a series of advanced, subject-specific follow-up seminars currently in development.

Audience

All Harvard affiliates

Service Provider

Digital Scholarship Support Group

Service Fee

None

Service Website

https://dssg.fas.harvard.edu/event/viselo-summer-2020/

Contact Information

dssg@fas.harvard.edu

Harvard Library, Research Data Management Program

Best Practices for Biomedical Research Data Management

Hosted on Canvas Network, the course presents approximately 20 hours of self-paced content. Each of the nine modules is dedicated to a specific component of data management best practices, and includes video lectures, presentation slides, readings & resources, research teaching cases, interactive activities, and concept quizzes.

Course is aimed at a broad audience including librarians, biomedical researchers, undergraduate and graduate biomedical students, and all other interested individuals. Biomedical research today is not only rigorous, innovative and insightful, it also has to be organized and reproducible. With more capacity to create and store data, there is the challenge of making data discoverable, understandable, and reusable. Many funding agencies and journal publishers are requiring publication of relevant data to promote open science and reproducibility of research.

In order to meet to these requirements and evolving trends, researchers and information professionals will need the data management and curation knowledge and skills to support the access, reuse and preservation of data.

This course is designed to address present and future data management needs.

Carpentries Training

Carpentries Lessons and Workshop Courses. Upon request of Harvard teams, departments, and groups, members of the HL-RDM will work to organize and/or provide in-person or online Carpentries (https://carpentries.org) trainings. Costs for this service vary; some trainings may be free, others will require support for instructor travel-related expenses.

Additionally, free online videos on a variety of research data management topics, including creating data management plans (DMPs) and working with biomedical data are available.

Audience

  • All Affiliates
  • All Faculty
  • All Graduate Students
  • All Undergraduate Students
  • Public

Service Provider

Harvard Library Research Data Management

Service Fee

Yes

Service Websites

https://hlrdm.library.harvard.edu/

Contact Information

hl_dsi_rdm@harvard.edu (HL; Carpentries Training)

Center for Geographic Analysis

The Center for Geographic Analysis (CGA) provides opportunities for learning geospatial analysis in many ways - credit and non-credit, live and self-learning.

Non-Credit Training at the Center for Geographic Analysis:

  • Geographic Information System (GIS) Institute (two-week training institute held every semester. Research proposal required)
  • Cartography Workshop (One day workshop held every SPRING semester)
  • GIS for the Humanities and Social Sciences (One day workshop held every FALL semester)
  • Basic Introduction to GIS (Two-hour workshop held every semester)

Audience

All Harvard Affiliates

Service Provider

Center for Geographic Analysis

Service Fee

Some workshops are free, others have a nominal fee for Harvard attendees.

Service Website

Center for Geographic Analysis: Teaching

Contact Information

Center for Geographic Analysis Contact Form

Applicable to members of a specific school or part of the campus

Countway Library (Longwood Medical Area)

Research Data Management Lifecycle Online Training

Online training resources (e.g. RDM videos, tutorials) for members of the Longwood Medical Area biomedical community.

Audience

School Affiliates; School Faculty; School Graduate Students

Service Provider

Countway Library (HMS)

Service Fee

None

Service Website

https://countway.harvard.edu/services/publishing-data-services/data-serv...

Contact Information

Julie Goldman (Countway): julie_goldman@hms.harvard.edu

Harvard Kennedy School

Data & Donuts

A semi-monthly learning and discussion group that offers a welcoming space to engage critically with issues of data and society.

Data Resources for HKS Affiliates

A Libguide that serves as a direct resource and conduit for the data needs of the HKS community, including in the areas of research data management, research computing, data access, and data licensing.

Audience

  • School Faculty
  • Graduate School Fellows
  • School Graduate Students (+ School Affiliates for Data Resource)

Service Provider

Harvard Kennedy School Library

Service Fee

None

Service Website

https://guides.library.harvard.edu/hks/data_resources

Contact Information

library_research@hks.harvard.edu