Room booking time limits for graduate students and faculty have been extended! Private study rooms in the Research Commons located on the 4th and 5th floors of Koerner Library are now bookable for up to 4 hours at a time. Project rooms have a capacity of 4-6 people and can be booked 3 weeks in advance.

Interested in working at the Library? The Geographic Information Systems (GIS) team is hiring one Graduate Academic Assistant for an ongoing position starting this summer.

The GAA for Geospatial and Information Technology will deliver workshops, offer peer consultations, and carry out projects focused on a variety of geospatial and cartographic topics.

Applicants must be currently enrolled in a Masters or PhD program at UBC to qualify for this WorkLearn position.

Details:

6 hours / per week

$22.67 an hour

application deadline: Tuesday, March 29th

Learn more and apply for this job posting on the UBC CareersOnline website.

Using file naming conventions

To maximize access to your records, we recommend establishing a naming convention for your files. A file naming is a framework for naming your files in a way that describes what they contain and how they relate to other files.

File naming conventions help you stay organized and makes it easier to identify your files. By consistently organizing your files, you will be able to quickly find what you need. And in a shared or collaborative group file-sharing setting, it will help others more easily navigate your work.

It is essential to establish a convention before you begin collecting files or data in order to prevent a backlog of unorganized content that will lead to misplaced or lost data!

Examples:

Files with no naming convention:

·        Test data 2022.xlsx

·        Meeting notes Mar 17.doc

·        Notes Eugene.txt

·        Final FINAL last version.docx

Files with naming convention:

·        20220304_ProjectA_Ex1Test1_ChangE_v1.xlsx

·        20220304_ProjectA_MeetingNotes_ChangE_v2.docx

·        ExperimentName_InstrumentName_CaptureTime_ImageID.tif

Please see our guide for file naming on the Library’s Research Data Management website or reach out directly to research.data@ubc.ca or to Eugene Barsky, Research Data Management Librarian.

Time: 10am – 12pm

Location: ONLINE

This new interactive workshop focuses on various approaches to data analysis commonly used in mixed methods research designs. Participants will learn how to address different research questions with the use of quantitative and qualitative data and apply their knowledge and perspective to come up with mixed methods study designs.

A message from the presenters:

Maria: “I think what is great about this workshop is that it changes the perception of qualitative and quantitative research methods as two separate approaches by showing that they can be used side-by-side and enrich data analysis. Even though many researchers tend to choose one side and stick to it, in this workshop we show that a person does not have to be an expert in statistics to apply quantitative tests or have experience in critical studies to try one of the qualitative methods. Moreover, we show how the research design may be addressed if we have mixed data, what research questions may be asked, how we can specify them based on previous findings, etc. ”

Amir: “Mixed methods analysis is a fascinating domain of research design with relevance to many fields across the humanities and social and health sciences. By designing this unique workshop, we assume that it is not sufficient to be familiar with qualitative and quantitative methodologies separately. As researchers, it is necessary to familiarize ourselves with existing approaches to integrating qualitative and quantitative analyses. It is also useful to practice how to approach the design of mixed methods analysis by experimenting with different combinations of methods in service of various research questions. Our workshop does just that, and we specifically designed it at an introductory level to invite graduate students from different backgrounds and different levels of experience. For me, the desire to design this workshop emerged from positive past experiences conducting mixed methods research and collaborating with scholars with various areas of methodological expertise. I am excited to revisit and extend such fruitful conversations.”

Register online.

Part 3: Tools, Screening Criteria, and Appraisal

Registration is required, participants do not need to attend previous sessions to utilize the later workshops.

Upcoming Workshops

Monday, March 21st | 2:00 – 3:30pm

Location: ONLINE

Register

This online workshop is intended to orient complete beginners to the fundamentals of web scraping. By the end of this workshop participants will be able to articulate what web scraping is and when it may be a useful method to get information from the web; use one method to scrape content from the web, and do basic cleaning on scraped output.

Monday, March 21st | 4:00 – 5:30pm

Location: ONLINE

Register

Everyone who is using Zotero or thinks they might like to use Zotero is welcome at this workshop.

Participants will:

• Quickly review the setup of Zotero
• Learn the best ways to use Zotero to keep all of your citations in order throughout your research.
• Gain tips and tricks to get the most out of Zotero and your citation management tracking process in general.
• Leave with an understanding of how to generate a bibliography in Zotero.
• See how to share citations with colleagues.
• Confirm whether Zotero is the right citation management tool for your research.

Monday, March 28th | 2:00 – 3:00pm

Location: ONLINE

Register

Learn the basics of using Git and GitHub for version control and collaboration. Git is widely used version control software that tracks changes to a group of files, referred to as a repository. GitHub is a popular website for hosting and sharing Git repositories, making it easier to collaborate and share your work. Together, Git and GitHub provide a platform that is increasingly used for collaboration in research and academic environments. In this beginner workshop participants will learn key concepts, create their own Git repository, and publish to GitHub. No previous experience with Git is required. Familiarity with the command line interface will be helpful but is not necessary.

Wednesday, March 9th | 4:00 – 6:00pm

Location: ONLINE

Register

R is a popular free software program for data visualization and analysis. This workshop will provide an introduction to developing interactive visualizations and dashboards using Shiny – a package for making web applications in R. Participants are expected to be familiar with R and the RStudio environment.

For subjects such as:

▸ NVivo, R

▸ GitHub, digital exhibits, Unix shell

▸ GIS, APIs, OSF

▸ Citation Management

Self-directed learning resources for:

▸ Digital Scholarship core skills–APIs, GitHub

▸ Data management, analysis, visualization

▸ Geographic Information Systems (GIS)