Create a Data Management Plan (DMP) for your research project
2024-03-04 00:00 - 23:59 (America/Halifax) | York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3, Canada
Date: 4 March 2024

A data management plan (DMP) is a document that outlines the organization, storage, and sharing of your research data. A DMP addresses phases of the data management lifecycle, and supports the management of research data for your project. As DMPs are increasingly required for a variety of funding programs, this workshop introduces the steps to create a DMP using the Canadian DMP Assistant tool for best practices in data management across all disciplines. Instructors: Lily Ren, Ricardo Laskaris, Stephanie Quail

This workshop will cover:

• Best practices around data management

• Considerations for data management planning

• Using the DMP Assistant tool to draft a DMP

International Women's Day Wikipedia Training and Editathon
2024-03-04 08:00 - 17:00, 2024-03-08 00:00 - 23:59 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
Are you ever frustrated by what is missing from Wikipedia? Are you interested in women’s history and queer history in Canada? Join us for a 3-part Wikipedia Editathon in celebration of International Women’s Day.

This event is the English-language follow up to our French 2SLGBTQ+ editathon last October. The event will be in English, but we are bilingual team: N’hésitez pas à nous rejoindre pour travailler ensemble en français. See you soon!DATES AND TIMES:Training for anyone who is new to Wikipedia editing: Monday, February 26th 1pm-4pm ESTPractice Editathon & Training for anyone who is new to Wikipedia editing: Monday, March 4th 1pm-4pm ESTDrop-in Editathon: Friday, March 8th 12pm – 4pm ESTLOCATION:In person:The the CreatorSpaceUniversity of OttawaPerez Hall (PRZ) 30250 University PrivateOttawaVirtual:Zoom link will be sent to people who registerThe University of Ottawa is located on unceded Algonquin land

It’s not 2007 anymore: Using Wikipedia to extend student engagement and your research impact
2024-03-05 00:00 - 23:59 | York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3, Canada
Date: 5 March 2024

Wikipedia is now the largest global open education resource and is widely used by students, instructors, and researchers.

Editing Wikipedia is easier than you might think, and can have uses and benefits beyond just the satisfaction of improving the world’s biggest encyclopedia. Instructors include Wikipedia assignments in the classroom as a method of experiential education and researchers use it to mobilize knowledge and drive research impact. Instructors: Alexandra Wong, John Dupuis, William Denton.

Join the Libraries for a discussion to share how you could use Wikipedia, do use it, or would like to.

Safeguarding yourself online
2024-03-06 00:00 - 23:59 | York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3, Canada
Date: 6 March 2024

As graduate students or faculty members, we are often asked to make our research visible, have an active online profile, and engage with other academics in social media circles. However, the push for engaged, online public scholarship is sometimes at odds with what we know of online behaviour: the subject of your research may make you a target for online harassment, doxxing, and other forms of abuse. This workshop provides a sobering glimpse into the nature of research harassment and provides an empowering approach to managing your risk and online safety through the use of threat modelling and strategic action. Instructor: Kris Joseph.

Participants in this workshop may also be interested in the “Safeguarding your Research Data: Privacy and Security Tools” session on February 28.

The art of filming professional interviews
2024-03-08 00:00 - 23:59 | York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3, Canada
Date: 8 March 2024

This workshop will cover the basics of capturing interviews on video. We will go over 3-point lighting for one interview subject, methods of capturing audio, camera setup, as well as synchronizing footage and audio in DaVinci Resolve. Participants are encouraged to bring their own laptops, but we will have four workstations available for those who need them.

How to edit Wikipedia
2024-03-12 00:00 - 23:59 | York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3, Canada
Date: 12 March 2024

Editing Wikipedia is easier than you might think. Wikipedia is now the largest global open education resource but it continues to have many gaps in its knowledge. Anyone can learn to edit Wikipedia to close those gaps and improve coverage of under-represented topics and groups.

Everyone is welcome to drop into this hands-on session where introductory training will be provided. No experience in editing Wikipedia is necessary.

Instructors: Alexandra Wong, John Dupuis, William Denton.

Intro to Document Typesetting and Scientific Publishing with LaTeX
2024-03-13 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
LaTeX is a typesetting programming language used to produce beautiful documents. It especially excels at scientific, mathematic, and engineering specific layouts, but can be used to produce nearly any sort of document. This workshop will teach you the basics of LaTeX, including how to render things like chemical formulas with ease.

Humanités numériques : analyse de texte
2024-03-13 00:00 - 23:59 | Québec, Canada
13 mars et 27 mars

Atelier sur les principales techniques d’analyse de texte à travers la présentation de méthodes computationnelles.

Les ateliers sont admissibles au certificat si aucun crédit curriculaire n’a été obtenu.

Publishing Your Research Data in a Data Repository
2024-03-18 00:00 - 23:59 | York University, 4700 Keele Street, Toronto, Ontario, M3J 1P3, Canada
18 March 2024

Data is deposited into a repository towards the end of its lifecycle when it is ready for sharing and publication. Publishing your data in a trusted data repository can provide the necessary curation and storage conditions to key your data secure and ensure your data is discoverable to a wide audience. Increasingly, many journal publishers and funding programs encourage the sharing and depositing of research data in a recognized data repository.

By the end of this workshop, you’ll be able to:

• Understand the guiding principles of data sharing and publishing

• Learn how to prepare your data for sharing and long-term preservation and access

• Access and select trusted data repositories including York’s generalist data repository York U Dataverse

It is recommended that registrants attend the RDM workshop “Create a Data Management Plan (DMP) for Your Research Project” prior.

Instructors: Lily Ren, Ricardo Laskaris, Stephanie Quail

Introduction to Machine Learning: Regression Models
2024-03-19 00:00 - 23:59 | Québec
This workshop offers an exploration of machine learning models for clustering and classification. With the increasing availability of large datasets, these models play a crucial role in extracting valuable insights and making informed decisions. In this workshop, participants will gain insight into clustering algorithms such as K-means, explore popular classification algorithms like decision trees, and learn about anomaly detection. Through a combination of lectures and hands-on exercises, participants will learn how to preprocess data, select relevant features, and evaluate model performance. By the conclusion of the workshop, participants will have a solid foundation in building and deploying machine learning models for clustering and classification tasks.

In this workshop, we will use cloud-based platforms, so you don’t need to have Python installed. Please make sure that you have a Google Colaboratory (https://colab.research.google.com/) account. This workshop will involve hands-on exercises that require the use of programming tools and libraries commonly used in machine learning, such as Python and Scikit-learn. As such, prior familiarity with Python programming is recommended for participants to fully benefit from the practical component of the workshop.

Sign up for other Machine Learning workshops in this series:

Introduction to Machine Learning: Neural Networks

Or view other upcoming Digital Scholarship workshops. If participants attend all of “Special Topics in Digital Scholarship” series, it counts as six hours towards the cc:DH/HN certificate.

Date: Tuesday, March 19, 2024, 1:00pm – 3:00pm Pacific Time

Presenter: Vedant Bahel

How to Implement Encryption to Protect your Research Data
2024-03-20 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
The modern online environment is dangerous – data breaches and cyber attacks are increasingly prevalent, making safeguarding sensitive research data more important than ever. Join Isaac Pratt (Research Data Management Specialist) for this workshop diving into the world of encryption. No technical expertise required – we’ll demystify encryption and show you how it can be used to secure your data against unauthorized access, ensuring its confidentiality, integrity, and authenticity. During this interactive session, you will: gain a clear understanding of the language of encryption: Learn what encryption is, how it works, and why it’s crucial for protecting your research data — Empower yourself with practical knowledge: Explore a range of digital tools and discover how to easily encrypt files, drives, and folders — Unlock the power of Veracrypt: watch a demo of Veracrypt, a free open-source encryption tool that you can start using right away.

Introduction to Voyant Tools
2024-03-20 00:00 - 23:59 | Québec
We will introduce Voyant, a free suite of visual tools for text analysis. Participants will get hands on experience applying common tools within Voyant to a corpus. No prior experience with text analysis is required.

This workshop is part of the Digital Toolkit workshop series presented by the UBC Library Research Commons.

Date: Wednesday, March 20, 2024, 1-2pm Pacific

Presenters: Eka Grguric and Anne Olsen

Introduction to Git and GitHub
2024-03-20 00:00 - 23:59 | Québec
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.

Pre-workshop setup

Please complete the pre-workshop setup to install the Bash shell and Git. If you don’t already have one, create a free GitHub account before the workshop.

This workshop is part of the Core Skills series.

Date: Wednesday March 20, 2024 10am-noon Pacific

Presenter: Billie Hu

Introduction to Machine Learning: Classification and Clustering
2024-03-26 00:00 - 23:59 | Québec
This workshop offers an exploration of machine learning models for clustering and classification. With the increasing availability of large datasets, these models play a crucial role in extracting valuable insights and making informed decisions. In this workshop, participants will gain insight into clustering algorithms such as K-means, explore popular classification algorithms like decision trees, and learn about anomaly detection. Through a combination of lectures and hands-on exercises, participants will learn how to preprocess data, select relevant features, and evaluate model performance. By the conclusion of the workshop, participants will have a solid foundation in building and deploying machine learning models for clustering and classification tasks.

In this workshop, we will use cloud-based platforms, so you don’t need to have Python installed. Please make sure that you have a Google Colaboratory (https://colab.research.google.com/) account. This workshop will involve hands-on exercises that require the use of programming tools and libraries commonly used in machine learning, such as Python and Scikit-learn. As such, prior familiarity with Python programming is recommended for participants to fully benefit from the practical component of the workshop.

Sign up for other Machine Learning workshops in this series:

Introduction to Machine Learning: Neural Networks

Or view other upcoming Digital Scholarship workshops. If participants attend all of “Special Topics in Digital Scholarship” series, it counts as six hours towards the cc:DH/HN certificate.

Date: Tuesday, March 26, 2024, 1:00pm – 3:00pm Pacific Time

Presenter: Vedant Bahel

Cultural Heritage Informatics Tools and Approaches
2024-04-02 00:00 - 23:59 | Carleton University, 1125 Colonel By Drive, Ottawa, Ontario, K1S 5B6, Canada
This day of workshops, led by Dr. Ethan Watrall (Michigan State University) and members of the Carleton X-Lab will explore various cultural heritage informatics tools and approaches, with a focus towards small/medium heritage/collections holding institutions and projects.

Introduction to Machine Learning: Neural Networks
2024-04-02 08:00 - 17:00 | Québec
In this workshop, participants will dive into the fascinating world of neural networks. Neural networks have emerged as powerful models for solving complex and nonlinear problems. This workshop begins with an introduction to neural networks, covering their architecture, activation functions, and training algorithms. Participants will gain insights into how neural networks can effectively capture and learn complex patterns in images, making them ideal for tasks like recognizing digits. They will also learn about the importance of preprocessing techniques and streamlining the preprocessing, training, and evaluation steps through pipelines. By the end of this workshop, participants will have a solid foundation in neural networks and the ability to build robust pipelines using Scikit-learn. In this workshop, we will use cloud-based platforms, so you don’t need to have Python installed. Please make sure that you have a Google Colaboratory (https://colab.research.google.com/) account. This workshop will involve hands-on exercises that require the use of programming tools and libraries commonly used in machine learning, such as Python and Scikit-learn. As such, prior familiarity with Python programming is recommended for participants to fully benefit from the practical component of the workshop.

Date: Tuesday, April 2, 2024, 1:00pm – 3:00pm Pacific Time

Presenter: Vedant Bahel

Sign up for other Machine Learning workshops in this series.

View other upcoming Digital Scholarship workshops. If participants attend all of “Special Topics in Digital Scholarship” series, it counts as six hours towards the cc:DH/HN certificate.

Introduction to Natural Language Processing
2024-04-16 00:00 - 23:59 | Québec
How do computers understand language? It seems impossible that zeroes and ones could ever add up to words that humans can understand, but machine language has come a long way in the past few years. Let us take you behind the code to explain how machines simulate language comprehension, and why it’s a far more complicated problem than “bonjour = hello”. This talk is aimed at an audience who is not necessarily familiar with computers or language comprehension, but would like a primer to the field, and what it can realistically do. We will explain natural language processing from the perspective of machines that cannot understand words, but capture semantic meaning by processing data.

This session will take place on:

Tuesday, April 16th – 1:00pm – 4:00pm (Atlantic time)

You do need to have a laptop with a Mac, Linux or Windows operating system (not a tablet, Chromebook, etc) on which you have administrative privileges, as you will need to pre-load specific software packages.

Participants must register using their institutional / organizational email address (not a personal email, ie. gmail)

Instructions for how to join will be sent out one day prior to the start of the event.

Understanding and Deploying the Basics of Generative AI
2024-04-29 00:00 - 2024-05-03 23:59 | St Francis Xavier University, 4130 University Ave, Antigonish, Nova Scotia, B2G 2W5, Canada
This four-day workshop (9AM-4PM) will outline the basics of contemporary machine learning to illustrate how Generative A.I., such as the text-based ChatGPT and the image-based DALL-E operate. This accessible technical description will be combined with critical readings from science and technology studies, critical digital studies, media studies, and digital humanities that interrogate A.I. from critical race, post-colonial, and feminist perspectives. This knowledge is not necessarily intended to make participants “experts” on the topics, but rather have scholars reflect on how such technologies can add further depth to their own research and provide them vocabulary and expertise to be able to collaborate with scholars who specialize in the technical elements of A.I. At the end of the workshop participants will synthesize these demonstrations and readings, alongside class discussions, and produce the outline for a future research paper and/or research creation project involving machine learning and/or Generative A.I.; instructors will provide one-on-one feedback and trouble-shooting on these projects over the four days.

Preserving Your Digital Scholarship Projects
2024-05-01 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Don’t lose all that hard work you’ve put into creating a digital scholarship project! With all the moving parts involved, digital scholarship projects can “break” two or three years after completion when preservation concerns aren’t considered. Websites require maintenance, platforms like Omeka and StoryMaps need version updates, file formats become obsolete – making projects interactive and accessible over the long-term can be complex. In this roundtable discussion, we’ll explore challenges in preserving digital scholarship projects, as well as tools & approaches to supporting their long-term access and use. We’ll conclude with a sandbox session where we share case studies and respond to participant questions.

Using Generative AI for Student Research
2024-05-01 00:00 - 23:59 | University of Victoria Libraries, 3800 Finnerty Road, Victoria, British Columbia, Canada
This workshop aims to equip participants with a basic understanding of Generative AI (GenAI) and the ethical implications of its use in student research. Participants will explore its use for idea generation, and literature reviews, and consider ethical considerations such as plagiarism, privacy, and research integrity. In the hands-on portion of the workshop, participants will explore GenAI tool usage and output evaluation for accuracy and biases. The workshop will also cover UVic policies, attribution methods, library resource integration, and campus support services, to encourage informed, responsible GenAI use.

Instructor: Christian Schmidt

Learning Objectives:

Understand Generative AI: Define Generative AI and explain its relevance and potential applications in student research.

Ethical Considerations: Discuss the ethical implications of using GenAI in academic work, including issues related to plagiarism, data privacy, and research integrity.

Apply strategies such as prompt design, critical review of terms and conditions, and adjustments to privacy settings to address GenAI ethics and safety issues

Explore Use Cases: Identify specific use cases of different GenAI in academic settings, such as literature review, idea generation, and data analysis.

Practical Applications: Demonstrate how to use Generative AI tools effectively for research purposes, including tips for generating useful outputs and refining queries.

Evaluate Quality and Reliability: Teach participants how to critically evaluate the outputs of Generative AI tools, including assessing accuracy, relevance, and potential biases.

Integrate with Research Workflow: Show how Generative AI can be integrated into the research workflow, from initial brainstorming to finalizing research papers.

Attribution: Cite outputs from GenAI tools using APA, MLA, IEEE, or other citation styles.

UVic Policies: Describe UVic policies and guidelines that relate to the use of GenAI, and understand their implications for academic integrity

Leverage Library Resources: Explain to a friend how GenAI tools integrate with traditional library resources to advance research and learning

Stay Informed: Be familiar with other places on campus, like LTSI, which can support you in the effective and appropriate use of GenAI

Instructor: Christian Schmidt

Data Management Plans (DMPs)
2024-05-02 00:00 - 23:59 | University of Victoria Libraries, 3800 Finnerty Road, Victoria, British Columbia, Canada
Aimed at grad students and faculty researchers, this lecture-style workshop reviews the key components of a data management plan (DMP) and offers guidance on using the DMP Assistant, a bilingual tool for preparing data management plans.

A DMP is a formal and evolving document that outlines the practices, processes, and strategies of the data you expect to acquire or generate during the course of a research project.

The Government of Canada has announced the Tri-Agency Research Data Management Policy. The policy aims to support Canadian research excellence by promoting data management practices.

Upon completion of this workshop, participants will:

Understand the importance of good research data management

Be familiar with the DMP Assistant

Be familiar with key data management planning considerations

Instructor: Monique Grenier

Intro to Infographics with Canva
2024-05-07 00:00 - 23:59 | University of Victoria Libraries, 3800 Finnerty Road, Victoria, British Columbia, Canada
Are you a UVic student, staff, or faculty member and want to learn more about creating infographics? If so, then this hands-on workshop will give you an introduction. Once you’ve completed this session you will be able to do or be aware of the following:

Know why and where infographics can be useful communication tools.

Determine which facts in a research paper or article are essential and which can be excluded in order to tell a compelling yet concise story.

Summarize and translate quantitative data into tables, charts, or graphical representations.

Summarize and translate quantitative information expressed in words into tables, charts, or graphical representations.

Where appropriate, integrate and summarize visual information from photographs, videos, or maps into a graphical representation.

Determine the best order and flow of information to create a visual narrative integrating the key tables, charts, and graphics.

Be able to use infographic software and associated templates to organize and present tables, charts, and graphical representations in a narrative that is aesthetically pleasing and compelling.

Be aware of the different mediums available to publish and share infographics: Poster, hand-out, website, and social media.

Instructor: TBA

From Data to Story: Crafting Digital Narratives with GIS
2024-05-08 00:00 - 23:59 | St Francis Xavier University, 4130 University Ave, Antigonish, Nova Scotia, B2G 2W5, Canada
Have you heard of, or been wondering about, Geographic Information Systems (GIS) and how it might benefit your work?

Are you an university researcher and looking to learn more about, gain access to, or be able to use ArcGIS Pro?

Are you looking to become familiar with the use of Storymaps as part of your research, assignments, or instruction on campus?

Then please attend this one-day, in-person workshop on Wednesday, May 8 at St Francis Xavier University!

This event is being hosted by an interdisciplinary team from St. Francis Xavier University representing the Digital Humanities Centre, Library and Aquatics Resources Program to assist those on campus who wish to learn about, refresh their knowledge or enhance their understanding of the capabilities of GIS.

This workshop will consist of both lecture and “hands-on” components, providing attendees with the necessary theoretical and practical experience to what GIS is, ArcGIS software and familiarity with the creation of Storymaps. This full-day (9AM-4:30PM) event will consist of 4 sessions that will explain what GIS, the software used, how it can be of benefit to your research and will introduce and guide participants through the creation of storymaps using ArcGIS Pro software.

There is no cost to attend this event, however registration is require as space is limited. (Lunch and snacks provided.) Open to all, regardless of discipline or career stage.

Instructor: Matt Schumacher

Link to Register

Linked Open Data Fundamentals
2024-05-08 00:00 - 23:59 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
Linked Open Data (LOD) refers to a set of standards and practices that allow data to contribute to the Semantic Web. This introduction will cover how LOD works in theory and practice. It will provide an overview of various projects and tools for using and making it, with an emphasis on cultural data and on the suite of tools offered by the Linked Infrastructure for Networked Cultural Scholarship (LINCS). It will also touch on scholarly perspectives on LOD and the challenges and opportunities such data poses for humanities scholars as far as modelling, context, nuance, and honouring difference and specificity are concerned.

This workshop is suitable for anyone desiring an introduction to LOD and the Semantic Web, as well as anyone who is interested in an overview of what LINCS does, considering working with LINCS tools, or would like to know more about preparing data for publication through LINCS.

Led by Kim Martin and Sarah Roger

This is a Forward Linking (LINCS)-DHSITE workshop.

Ontologies and Vocabularies
2024-05-08 00:00 - 23:59 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
This workshop dives into the Semantic Web with its possibilities for humanities research through exploring ontologies and vocabularies for Linked Open Data (LOD): providing an introduction to how they function in relation to data structure and creation, and how they impact data publication, querying, and visualization.

An understanding of the complementary roles played by OWL ontologies and SKOS vocabularies will lead into discussion of how to support critical approaches such as feminism, critical race, and Indigenous studies through ontology and vocabulary choices. Recognizing that ontologies and vocabularies both mobilize and constrain data, we will discuss how to evaluate the suitability of particular ontologies and vocabularies for particular approaches to research. Examples will draw on and also extend beyond the ontologies and tools offered by the Linked Infrastructure for Networked Cultural Scholarship (LINCS).

This workshop is suitable for anyone who is looking for a conceptual introduction to ontologies and vocabularies, and assumes familiarity with the core concepts of LOD.

Led by Susan Brown, Alliyya Mo, and Deb Stacey

This is a Forward Linking (LINCS)-DHSITE workshop.

Data Cleaning and Reconciliation with OpenRefine
2024-05-08 00:00 - 23:59 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
OpenRefine is a free and easy-to-learn tool for changing and augmenting data. It has many uses, including cleaning and reconciling structured data (e.g., spreadsheets) in preparation for creating Linked Open Data (LOD). This workshop will provide a hands-on introduction to OpenRefine. Using sample data provided in the workshops, participants will be taught how to clean and reconcile. You do not need to have your own structured data to participate.

This workshop is suitable for anyone who is either new to OpenRefine or who is new to using it for cleaning, reconciling, and augmenting structured data. It is especially recommended for anyone who is interested in creating LOD with LINCS and would like a taster of the preliminary steps in the process.

Led by Natalie Hervieux and Sarah Roger

This is a Forward Linking (LINCS)-DHSITE workshop.

Playing with LINCS APIs
2024-05-08 00:00 - 23:59 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
The Linked Infrastructure for Networked Cultural Scholarship (LINCS) has developed several Application fProgramming Interfaces (APIs) that enable developers to access LINCS datasets and tools. In this workshop, we will provide an overview of how LINCS data is modelled as Linked Open Data (LOD), and introduce participants to the LINCS authority service, LINCS API, and the Linked Data Enhancement API. These APIs allow developers to access LINCS services that can reconcile entities, perform named entity recognition (NER), clean and massage RDF data for researcher datasets, and look up entities and their properties in the LINCS datasets.

We will provide an overview of the available functionality and how to use it using example requests sent with Postman and cURL to the APIs. We will also look at a real-world implementation in the form of the LINCS Context Explorer, which is also available as a library for embedding within websites, demonstrating how linked data can enrich websites without modifying the underlying data.

This workshop is suitable for developers, researchers, and students with advanced technical skills who are interested in utilizing LINCS tools, and who know how to use APIs and understand the basics of LOD. We will canvas registrants in advance to discover their interests, and view this as an opportunity for connecting collaboratively with developers interested in leveraging linked data within their web environments.

Led by Alliyya Mo and Kim Martin

This is a Forward Linking (LINCS)-DHSITE workshop.

ResearchSpace: An Overview
2024-05-08 00:00 - 23:59 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
This workshop will provide an overview of the ResearchSpace environment for linked data. ResearchSpace is a web-based tool for the storage, review, publication, and discovery of Linked Open Data. It allows users to search, browse, visualize, and edit existing LOD stored in the LINCS triplestore. LINCS has adapted ResearchSpace as a publishing platform to support users who want to explore LINCS’s datasets and researchers whose data is published with LINCS. Hands-on work will focus on creating knowledge maps and semantic narratives, and on editing and enhancing data within ResearchSpace

This workshop is suitable for those who would like an introduction to ResearchSpace and for those involved in LINCS projects who would like some hands-on time with some of its more advanced functionalities.

Led by Robin Bergart and Zach Schoenberger

This is a Forward Linking (LINCS)-DHSITE workshop.

Respectful Terminologies
2024-05-08 00:00 - 23:59 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
Lead by the co-leads the National Indigenous Knowledge and Language Alliance’s Respectful Terminology Platform Project, this workshop will introduce the work of the RTPP which brings together community projects with a similar goal of respectful terminology for all, and to discuss needs and goals of a national, Indigenous-led platform for respectful terminologies.[full description coming soon]

Instructors: Stacy Allison–Cassin and Camille Callison

This is a Forward Linking (LINCS)-DHSITE workshop.
