Research Data Training Camp (October 28th-November 7th, 2019)

Research Data Training Camp

Collecting research data but not sure how to manage it? Want to learn more about the research computing tools that can help you better manage your research project?

York University Libraries is offering a free research data training camp workshop series for graduate students looking to learn the data management and research computing skills that can help them get more out of their research in less time. By getting hands-on experience with the different tools explored in the series, participants will walk away with a better sense of the data management options available to them through such sessions as: Managing Data and Research Materials Successfully, Data Cleaning with Open Refine, Data Cleaning with R, Citation Management with Mendeley, and Version Control with Git and Github.

Workshops will run on different days from October 28th to November 7th, 2019.

Workshop Schedule

To register for individual sessions, please use the registration links for each workshop provided below. Future research data training camp dates will be announced later in the winter term.

Managing Research Data in the Health Sciences
1) October 28th from 10:00-12 in room 530, Scott Library – Click here to register
2) November 4th from 10:00-12 in room 530, Scott Library – Click here to register
Max Spaces: 25
This workshop will discuss key themes, challenges, and considerations in research data management (RDM), including RDM planning, data organization, documentation, security, and data sharing and publishing options. Participants will learn about information, tools and resources to support effective RDM practices in Health Science research. Workshop participants are asked to fill out the following pre-survey to ensure the in-person session can be customized to meet specific health science researcher needs: https://forms.gle/a2DpYMbSCk14qHND9

Managing Research Data in the Social Sciences
1) October 28th from 1:30-3:30 in room 530, Scott Library – Click here to register
2) November 4th from 1:30-3:30 in room 530, Scott Library – Click here to register
Max Spaces: 25
This workshop will discuss key themes, challenges, and considerations in research data management (RDM), including RDM planning, data organization, documentation, security, and data sharing and publishing options. Participants will learn about information, tools and resources to support effective RDM practices in Social Sciences research. Workshop participants are asked to fill out the following pre-survey to ensure the in-person session can be customized to meet specific health science researcher needs: https://forms.gle/a2DpYMbSCk14qHND9

Introduction to Analyzing Data in R
Dates: 2019-10-31 or 2019-11-07
1) October 31st from 1:00-2:00 in room 530, Scott Library – Click here to register
2) November 7th from 1:00-2:00 in room 530, Scott Library – Click here to register
Max Spaces: 25
Description: R is a programming language for statistical computing and data analysis that can help you query and explore data in a number of interesting ways. Through this introductory lesson, you’ll learn how to interact with R via RStudio and how to explore the structure and content of a data frame through a series of commands. Note: Desktop computers offering access to R and RStudio will be available to workshop participants. Those wishing to work with their own laptops during the session are asked to load the software in advance by following these instructions.

Data Visualization with R
1) October 31st from 2:00-3:00 in room 530, Scott Library – Click here to register
2) November 7th from 2:00-3:00 in room 530, Scott Library – Click here to register
Max Spaces: 25
Description: R is an open source tool for data analysis that you can use to create almost any type of graph. Through this introductory session, you’ll learn how to use the ggplot2 package from the R tidyverse to create meaningful and impactful graphics. Note: Desktop computers offering access to R and RStudio will be available to workshop participants. Those wishing to work with their own laptops during the session are asked to load the software in advance by following these instructions.

Data Cleaning with OpenRefine
1) October 29th from 2:00-3:00 in room 531, Scott Library – Click here to register
2) November 5th from 2:00-3:00 in room 531, Scott Library – Click here to register
Max Spaces: 20
Description: OpenRefine is a standalone open source desktop application for data cleanup and transformation. The application works in tandem with csv and tsv formats, i.e. with traditional spreadsheets (Excel), to normalize, transform, parse, and fetch data from other web services. This ‘hands on’ session presents the primary features of OpenRefine, particularly faceting, filtering, clustering, as well as ‘built-in’ simple transformations. We will also introduce complex transformation functionality using the General Refine Expression Language (GREL), regex, and json. Note: We ask that you please come to the session having reviewed the prerequisites document listed here. Also, please note that you must bring your own laptop in order to be able to participate in this session.

Working with Git & Github
Dates: 2019-10-30 or 2019-11-06
1) October 30th from 1:00-2:00 in room 531, Scott Library – Click here to register
2) November 6th from 1:00-2:00 in room 531, Scott Library – Click here to register
Max Spaces: 20
Description: Understanding how to manage file changes within a version control system is quickly becoming an important skill for researchers working with code today. Git is the most widely used modern version control system and GitHub is the development platform that lets you host Git repositories for reviewing, managing projects, and storing your research / code. This session will offer a brief introduction to Git & GitHub and take you through a series of version control workflows for saving your work and other common tasks. Note: We ask that you please come to the session having reviewed the prerequisites document listed here. Also, please note that you must bring your own laptop in order to be able to participate in this session.

Citation Management with Mendeley
1) October 28th from 2:00-3:00 in Steacie Science Library – Click here to register
2) November 4th from 2:00-3:00 in Steacie Science Library – Click here to register
Location: Library lab, Steacie Science and Engineering Library (please enter the library to reach the library lab)
Max Spaces: 20
Description: This session will offer a brief introduction to how Mendeley can help you manage your citation information, organise documents, make your own searchable library, cite as you write, and read and annotate PDFs. Note: Those wishing to work with their own laptops during the session are asked to load the software from https://www.mendeley.com/download-desktop/.

Frequently Asked Questions

I’m collecting mostly qualitative data. Will these workshops help me?

Yes! We will be discussing and practicing general principles of research data management, which could apply to both quantitative and qualitative data.

Should I be thinking about more than my research ethics review when considering how I’m going to manage my data?

Yes! A DMP (Data Management Plan) covers topics broader than the research ethics review. Besides considering data security matters and the ethical issues of using and reusing data, a DMP also helps you plan for the complete research data life cycle and includes information on data organization, documentation, storage, backup, sharing, and long-term preservation. Therefore, writing a DMP will improve your research ethics review protocol development by broadening your consideration of potential research ethics issues. For example, writing a DMP could help you avoid using a limiting consent form that could prevent you and your research subjects from contributing back to the academic and public communities you’re working with in your project.

Will more research data training camps be offered in the future?

Yes! More details on future sessions in the 2020 winter semester will be released on this page soon.

Have further questions about the training camp? Contact us at yul_rdm@yorku.ca.