Time: 12–1 PM

REGISTER HERE

In our series of lunchtime technical trainings, RCS staff members and guest speakers discuss topics that can be used to enhance one's research, with a focus on research methods, statistical approaches, and computing tools or workflows.

We are excited to invite Jess Cohen-Tanugi, Visualization Specialist at the Harvard FAS Lamont Library, to present this introduction to the data visualization software Tableau. In this hour-long, hands-on workshop you'll use a sample dataset to create several different types of visualization using Tableau. You'll also learn how to combine graphs together to create interactive dashboards and how to create stories from the data.

Time: 11 AM–12 PM

REGISTER HERE

This mandatory training for new HBSGrid users will cover both basic and advanced concepts and resources of the cluster. This training is only for those who already have an account, and only for those who are using compute resources. If you would like to get set up with an account, please email research@hbs.edu.

To prepare for the session, we highly recommend that attendees review our HBSGrid cluster training materials beforehand.

Time: 11AM–1 PM

REGISTER HERE

On the first Tuesday of the month, RCS presents a live demo. Drop in to watch an RCS staff member or guest demonstrate a technique, share a tip, or work through a problem! Please note that this month we are requiring participants to register in advance at the above link.

This month's topic is Large Data in R and will be presented by Ben Sabath, Research Software Engineer with FAS Research Computing:

R is a statistical programming language commonly used in many different academic disciplines, including the hard and social sciences. The open-source community has developed numerous packages for the language, enabling users to easily implement statistical methods that would require significant development in other languages. However, R has some performance limitations, especially when working with data that struggles to fit in memory. In this workshop, we will explore techniques (such as streaming and sharding data) and tools (the data.table package) for working with data that approaches or exceeds computer memory limits.

Time: 12–1 PM

REGISTER HERE

In our series of lunchtime technical trainings, RCS staff members and guest speakers discuss topics that can be used to enhance one's research, with a focus on research methods, statistical approaches, and computing tools or workflows.

We are excited to invite Julie Goldman, Countway Research Data Services Librarian with the Harvard Library, to present this workshop on working with sensitive data.

Data sharing is becoming an increasingly prevalent and expected part of the research process. Researchers may be hesitant to share datasets about human subjects, and rightfully so. While some data can be shared respecting Institutional Review Board (IRB) and federal restrictions, other data is ultimately not publicly shareable.

This webinar will address conflicts that can arise when attempting to balance the protection of data with expectations for open data, such as restrictive language in data use agreements, IRB protocols, and consent forms.

Learning Objectives:

• Understand types of sensitive data and terminology
• Develop curation skills
• Identify institutional-level efforts to ensure safe sharing of protected data

Time: 10–11AM

REGISTER HERE

This mandatory training for new HBSGrid users will cover both basic and advanced concepts and resources of the cluster. This training is only for those who already have an account, and only for those who are using compute resources. If you would like to get set up with an account, please email research@hbs.edu.

To prepare for the session, we highly recommend that attendees review our Compute Grid training materials beforehand.

Time: 11AM–1PM

REGISTER HERE

On the first Tuesday of the month, RCS presents a live demo. Drop in to watch an RCS staff member or guest demonstrate a technique, share a tip, or work through a problem! Please note that this month we are requiring participants to register in advance at the above link.

This month's topic is Large Data in Python and will be presented by guest speaker Mahmood Mohammadi Shad, Associate Director of Research Software Engineering at the FAS Research Computing department:

Python is a versatile and powerful general-purpose programming language, and people with a broad spectrum of skills use it for their research and work. Handling data in Python is sometimes challenging in terms of working with large datasets and efficient parsing of data files. In this course, we'll go deep in Python and best practices when working with datasets and especially tools for handling large datasets. We cover intermediate to advanced topics from data structures to working efficiently with data files.

Time: 11AM–12PM

REGISTER HERE

This mandatory training for new HBSGrid users will cover both basic and advanced concepts and resources of the cluster. This training is only for those who already have an account, and only for those who are using compute resources. If you would like to get set up with an account, please email research@hbs.edu.

To prepare for the session, we highly recommend that attendees review our Compute Grid training materials beforehand.

Time: 2 PM–3 PM

On the first Tuesday of the month, RCS presents a live demo. Drop in to watch an RCS staff member or guest demonstrate a technique, share a tip, or work through a problem! Please note that this month we are requiring participants to register in advance at the above link.

This month's topic is TBA.