This workshop will explore some of the tools available for analyzing and presenting different kinds of data once it has been collected. It will provide an introduction to some of the free and easy-to-learn online tools available and ideas for how to integrate them into both research projects and the classroom. In this workshop, we will explore:

• How to use Story Maps to integrate geographical data with text, images, and multimedia content to create beautiful and intuitive interactive maps;
• How to curate digital exhibits using Omeka; and
• How to use Voyant for text analysis and visualization

Academic Writing for Graduate Students is a non-credit, 12-week co-curricular course designed for graduate students for whom English is an additional language (EAL).  You will learn how to apply your analytical skills to the discourses of your chosen disciplines and to explore how effective academic writing in Western scholarly tradition is achieved in order to position yourself as junior scholars in your chosen academic communities. 

Required textbook:

Swales, John M., & Feak, Christine B. (2011). Academic Writing for Graduate Students: Essential Tasks and Skills (3rd Edition). Ann Arbor: U of Michigan Press (ISBN: 978-0472-03475-8).

This workshop is a continuation of the workshop Shell Scripting Part I: Structure and basic commands. In this workshop participants will explore more advanced shell scripting methods involving scripts, command line tools, downloading data from a database, setting up parallel jobs, among others. 

Requirements

• Bring your own laptop.
• A text editor on your laptop (Notepad++ is highly encouraged, but your preferred text editor will work).

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Note: This workshop is organized and facilitated by SciProg. SciProg—short for Scientific Programming Study Group—is dedicated to building a community of SFU researchers who perform computational data analysis as part of their academic work. SciProg promotes skill sharing and collaboration by (1) organizing 60 to 90-minute interactive workshops covering a wide range of software tools, (2) providing Q&A sessions for peer-to-peer assistance and collaboration, and (3) bringing researchers together at social events like Hacky Hours.

Then we move to Python, a popular language for scientific computing and great for general-purpose programming as well.  This workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. This workshop is offered by The Carpentries, whose mission is to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific computing. 

Participants will need to bring their own computer/laptop. Please see note above for instructions for installing Python and other necessary files.

In this workshop participants will have an opportunity to explore the recently launched JupyterLab. The workshop will be focused primarily on Python commands, however the JupyterLab can be used with R.

Requirements

• Bring your own laptop.
• Install Anaconda (or Miniconda). Install JupyterLab onto your laptop prior to attending workshop.

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Note: This workshop is organized and facilitated by SciProg. SciProg—short for Scientific Programming Study Group—is dedicated to building a community of SFU researchers who perform computational data analysis as part of their academic work. SciProg promotes skill sharing and collaboration by (1) organizing 60 to 90-minute interactive workshops covering a wide range of software tools, (2) providing Q&A sessions for peer-to-peer assistance and collaboration, and (3) bringing researchers together at social events like Hacky Hours.

In this workshop participants will have an opportunity to perform linear regression and analysis of variance on various datasets and explore the model that best fits the data. Participants will learn about linear, multi linear and polynomial models and determine what model fits best the data they are exploring. Participants will also have an opportunity to learn about one-way and two-way analysis of variance (ANOVA) on datasets and problems provided during the workshop. 

Requirements

• Bring your own laptop.
• Install R and RStudio onto your laptop prior to attending workshop.

-------------------

Note: This workshop is organized and facilitated by SciProg. SciProg—short for Scientific Programming Study Group—is dedicated to building a community of SFU researchers who perform computational data analysis as part of their academic work. SciProg promotes skill sharing and collaboration by (1) organizing 60 to 90-minute interactive workshops covering a wide range of software tools, (2) providing Q&A sessions for peer-to-peer assistance and collaboration, and (3) bringing researchers together at social events like Hacky Hours.

Then we move to Python, a popular language for scientific computing and great for general-purpose programming as well.  This workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. This workshop is offered by The Carpentries, whose mission is to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific computing. 

Participants will need to bring their own computer/laptop. Please see note above for instructions for installing Python and other necessary files.

In this workshop participants will have an opportunity to explore the recently launched JupyterLab. The workshop will be focused primarily on Python commands, however the JupyterLab can be used with R.

Requirements

• Bring your own laptop.
• Install Anaconda (or Miniconda). Install JupyterLab onto your laptop prior to attending workshop.

-------------------

Note: This workshop is organized and facilitated by SciProg. SciProg—short for Scientific Programming Study Group—is dedicated to building a community of SFU researchers who perform computational data analysis as part of their academic work. SciProg promotes skill sharing and collaboration by (1) organizing 60 to 90-minute interactive workshops covering a wide range of software tools, (2) providing Q&A sessions for peer-to-peer assistance and collaboration, and (3) bringing researchers together at social events like Hacky Hours.

This interactive workshop introduces importing and coding of literature review materials and key tools that can be particularly helpful when reviewing literature in your area of research.

Topics covered include:

• introducing NVivo and setting up a project
• working with your information
• identifying themes, topics and ideas and collecting data to support them
• using tools such as text search query, matrix coding query, and Framework Matrix.

What will you achieve from this session? You will have the knowledge to set up a literature review in NVivo, and begin to work with your information. You will also be able to use NVivo to organize your content and begin to identify themes, topics or ideas. It is appropriate for those who have had some experience with NVivo. For more information about NVivo at SFU, please visit NVivo Software for Research Analysis.

Participants should also have some familiarity with citation management software (Zotero, Mendeley, Refworks, EndNote, etc). Zotero will be used during this workshop.

Note: You will need to bring your own Mac laptop, installed with the latest version of NVivo for Mac.

NVivo is a qualitative data analysis software program, but what does that mean -- and what does it mean for your research? Find out what NVivo is, when to use it, and how to get started.

In this hands-on introductory workshop, you'll take a tour of the NVivo software environment, using sample data. You’ll be introduced to NVivo’s functions and you’ll leave equipped with the basic info you need to begin working with NVivo. Topics introduced may include importing files and beginning coding.

This workshop is suitable for those with little or no experience using NVivo or other qualitative data analysis software.

Notes:
1. This workshop is for NVivo for Mac. The Windows interface is significantly different. Please check here for NVivo for Windows workshops being offered.
2. This workshop takes place in a Mac lab, so you don't need to bring your own laptop. However, if you wish to use your Mac laptop, please make sure you preload it  with the latest version of NVivo. You can download NVivo and the license key with your SFU computing ID by using the self-serve download link here. If you are unable to get past the authentication page, then please email nvivo-rc@sfu.ca.

Bring your laptop and your NVivo questions to this drop-in lab session! Our facilitators are experienced NVivo users, and can help orient researchers to using NVivo software for organizing, coding, and analyzing textual, audiovisual, social media, and other data. They can also support other uses of NVivo, such as organizing literature reviews and handling survey data.

NVivo is a qualitative data analysis software program, but what does that mean -- and what does it mean for your research? Find out what NVivo is, when to use it, and how to get started.

In this hands-on introductory workshop, you'll take a tour of the NVivo software environment, using sample data. You’ll be introduced to NVivo’s functions and you’ll leave equipped with the basic info you need to begin working with NVivo. Topics introduced may include importing files and beginning coding.

This workshop is suitable for those with little or no experience using NVivo or other qualitative data analysis software.

Text mining techniques can be applied to various data sources (e.g., newspaper articles, emails, online discussion posts, etc.) to efficiently extract useful data for different research purposes. For example, health science researchers may be interested in investigating a frequency of a particular disease name mentioned in a large set of newspaper articles. Educational researchers, on the other side, may wish to extract and categorize students' opinions from discussion forum in a high enrollment course. R offers a comprehensive set of functionalities for text mining. In this workshop, you will learn how to implement basic methods for preprocessing textual data, metadata management, a creation of term-document matrices over the collection of textual documents, sentiment analysis, text tokenization, word relationship extraction and text visualization.

Note: Workshop participants will need to bring their own laptops, with R and RStudio installed prior to attending the workshop.

In this workshop participants will have an opportunity to perform linear regression and analysis of variance on various datasets and explore the model that best fits the data. Participants will learn about linear, multi linear and polynomial models and determine what model fits best the data they are exploring. Participants will also have an opportunity to learn about one-way and two-way analysis of variance (ANOVA) on datasets and problems provided during the workshop. 

Requirements

• Bring your own laptop.
• Install R and RStudio onto your laptop prior to attending workshop.

-------------------

Note: This workshop is organized and facilitated by SciProg. SciProg—short for Scientific Programming Study Group—is dedicated to building a community of SFU researchers who perform computational data analysis as part of their academic work. SciProg promotes skill sharing and collaboration by (1) organizing 60 to 90-minute interactive workshops covering a wide range of software tools, (2) providing Q&A sessions for peer-to-peer assistance and collaboration, and (3) bringing researchers together at social events like Hacky Hours.

Tableau is a data visualization tool that can help you analyze your data and illustrate the patterns and insights behind them. This interactive workshop will introduce researchers to Tableau Public, a free access version of Tableau.

• connect datasets to your Tableau workbook;
• create a variety of basic chart types (including bar charts, line graphs, and maps);
• use Tableau's built-in analysis features, like reference lines, trend lines and calculated fields; and
• publish and share publication-quality interactive charts and graphs.

Tableau is a data visualization tool that is being used to help analyze data and illustrate the patterns and insights behind them. This interactive workshop will introduce researchers or students to Tableau Public, a free access version of Tableau.

Requirements:

• No prior experience with Tableau is necessary.
• Participants will need to bring their own laptop preloaded with the latest version of Tableau Public

Are you looking to raise the profile and impact of your research? If you have a thoughtful, curated, and professional academic profile, your research is more likely to be found, read, discussed, and shared online. Building your online research profile can connect your research with relevant communities and increase uptake and application of your work. Bring your laptop to this facilitated drop-in session. Librarians will be available to support you with any of the following:

• Depositing your work to Summit, SFU's Research Repository
• Creating, updating or refining your online profiles in ORCID, Google Scholar, or ImpactStory
• Leveraging #AcademicTwitter
• Discussing options for going public with your work
• Developing strategies for building or enhancing your personal website to host your online bio and CV

Today’s informal workshop borrows its name from a 2018 University Affairs article with the same title, written by Letitia Henville. Writing for an audience of academics has unique benefits and challenges: these individuals are intelligent, willing to read, and might even have high interest in your topic, but they are also indescribably busy, likely sleep-deprived, and are juggling a multitude of priorities. Join us today for some tips on how to get your message across to readers whose demanding schedules might leave them feeling a bit intoxicated by the time they open your file!

Our professors’ feedback can be one of the most valuable tools we receive as graduate students, leading to deeply meaningful change in our thinking and writing – if we can figure out what to do with it! Don’t let those teachable moments go to waste. Let’s talk about how we can improve incorporating (and accepting) others’ feedback into our writing process.

Learning how to accurately and skillfully use our own words to describe other scholar’s ideas remains a challenging process for many graduate students, and understandably so. While practicing and improving paraphrasing is guaranteed to level-up your writing, doing so without plagiarizing can and should be an ongoing concern. Come to this discussion to learn more about that foreboding beast "plagiarism," and its lesser known version "patch writing," so that you are better able to both spot it in students' writing and avoid it in your own.

Have some burning writing questions? Need to get something off your chest? These open topic Write Conversations discussions are an opportunity to have a free flowing conversation about writing with your peers and a Graduate Writing Facilitator.

Believe it or not, it’s not just a long summary of relevant literature. Your literature review serves many purposes including improving your research, focusing your thesis or project, and perhaps most importantly, aptly demonstrating your new-found expertise to your reader while providing a strong first impression for your final written product.

Lay language is needed in order to convey technical and advanced ideas in ways that are more effective than “dumbing it down”. You may be preparing a grant or fellowship proposal, writing for online purposes or fine tuning your “job talk”— all of which require you to translate your work and research to persons outside of your core field of study.

Knowing when to revise, what to look for, and when it's time to proofread will help you edit your own writing more effectively.

This demonstration introduces you to the Thesis Assistance wepage,  Thesis Submission process and the Thesis Template. This workshop will be broken down into four parts:

1. It will begin with an introduction to required copyright permissions from the Copyright Office at SFU. (about 30 minutes)
2. SFU Library's research data specialists will give instruction on how to preserve and, if appropriate, share research data for future uses. (about 15 minutes)
3. The Theses Office will provide an overview of the Thesis Assistant website and go over the overall submission process (including deadlines and supporting documentation). (about 30 to 40 minutes)
4. The technical part of the workshop will follow, where you will be walked through the overall structure of your thesis and the functionality of the thesis template. (about 30 to 40 minutes)

Students are encouraged to bring their own computer and thesis document(s) to work along with the facilitator during the workshop.

Learn how to:

• request copyright permissions (if your thesis includes reproductions of copyright protected images, including  figures, drawings, paintings, photographs, logos, maps, diagrams, tables or charts, and even screen captures on the web, then you might need to request copyright permission)
• write in the MS Word template-based file
• format your text using styles
• bring text in from other documents
• insert figures, images, and auto-numbered captions
• generate the Table of Contents, List of Tables, List of Figures, etc.

If you’ve begun writing, send your document to theses@sfu.ca in advance of the workshop; one might be used in demonstrating the Library’s thesis template. After the session, the formatted document will be returned in which the student can continue his/her work.