Introduction to R for Absolute Beginners
R is an open source software for statistical computing and graphics. This Introduction to R workshop is for people who want to learn this data analysis tool but have little or no experience in any programming languages. The first half of this 3-hour workshop will focus on some basic concepts of coding and the second half will have several hands-on activities to learn basic R skills, such as installing R packages, importing and exploring data. Some troubleshooting tips and R resources will be provided at the end of this workshop.
Introduction to the Open Science Framework
Collaboration among researchers can be difficult in many ways. So too is the management of all the materials and documentation that go along with it. In this session we introduce a helpful platform designed to ease the difficulties of managing and sharing data and research products. The Open Science Framework (OSF) is a free, open source, online research project management platform where you can create a personal JHU affiliated account, manage multiple projects, and collaborate or share with other researchers when you are ready to do so. It has the capability of connecting to services you may already use for research including JHBox storage, or other 3rd party services such as Google Drive, Github, and Mendeley, to name a few. Over the hour we will tell you more about the OSF, how you can get started, explain basic concepts of the interface, and share some interesting examples of ways other researchers are using the OSF. You can find more information about OSF services on our website and you may also want to take a look at our Lab Organization Template and Electronic Lab Notebook Template to get an idea of how one might use the OSF. We hope that you can join us!
Open Science and Reproducible Research Tools
What is the open science movement and what does it mean for me as a researcher? In this workshop we will look at the growing importance of open science and explore the issues surrounding making research and data open. As we discuss definitions, strategies, barriers, and incentives to open research we will also begin to take a look at tools that assist users in working in a transparent and reproducible manner. Specifically we will demo the Open Science Framework (OSF), a free, open source, online research project management platform where you can create a personal JHU affiliated account, manage multiple projects, and collaborate or share with other researchers. A prime example of a service that promotes reproducibility, we will share more about ways that you can use the OSF to position yourself as a proponent in the open science movement.
Planning for Software Reproducibility and Reuse
This session helps make your research more efficient and impactful by presenting best practices for creating understandable, reproducible, reusable, and citable software and scripts. Additional topics include intellectual property considerations and ensuring long-term accessibility of code.
Contains 6 sub-modules, 22 mins in total. Delivered via interactive slideshow.
What is the open science movement and what does it mean for me as a researcher? This course, broken into 4 modules, covers the growing importance of open science and the issues surrounding making research and data open. Specifically, we discuss:
- Definitions of open science
- The incentives to making your research more open
- Some of the barriers to participating in open science
- Simple strategies for making your research more open, including information on people and resources at JHU that can help you.
Contains 4 modules, 41 minutes in total. Delivered via Blackboard.
Contact us to request a past workshop.
Open Tools for GIS and Mapping
This workshop will introduce participants: to basic terms and concepts of open source, open data; open access; several open tools for GIS and mapping work; and resources for learning more about each tool. Tools covered include: QGIS, Carto, Open Street Map, R, and Leaflet.