CCDHHN

Introduction to revision control with Git [online, GIT101]
2024-11-14 00:00 - 23:59 (America/Halifax)
Date: 14 November 2024

Whether you’re working on a development or analysis project, version control allows you to keep track of your work while facilitating coordination with your colleagues. This workshop will introduce you to the basics of source code control with Git, the version control software recommended by our team.

Registration

Academic participant : 10$

Non-academic participant : $200

Prerequisites

Knowing the keyboard combinations for these characters: [ ] ( ) { } ! $ | * # @ & / < > ~ ‘ «

Understanding the notions of file and directory.

UNX101 completion or knowledge of the basics of the Unix command line.

Course plan

Introduction to version control;

Git configuration;

Repository creation;

Version tracking;

Exploring version history;

Ignoring certain files;

Remote repositories;

Working with others;

Conflict management.

Instructor

Charles Coulombe, analyst in advanced research computing at Calcul Québec.

Technical prerequisites

We will use the Zoom platform. Because this event is a practical workshop, it is very useful having a secondary screen where you would get the instructor window on one screen and your own window on your main screen.

We will use the Jupyter Lab interface. Make sure you have a modern Web browser like Google Chrome, Firefox, Edge or Safari.

Contact

For any question, please write to training@calculquebec.ca.

Notes

The workshop is not recorded;

The workshop could be canceled if the number of registrations is too low.

Comment créer des récits interactifs avec ArcGIS StoryMaps
2024-11-14 00:00 - 23:59 | UQAM | Université du Québec à Montréal, 400 rue Sainte-Catherine, Montreal, Québec, H2L 2C5
Comment créer des récits interactifs avec ArcGIS StoryMaps

ARCGIS StoryMaps est une plateforme de création de récits cartographiques immersive qui permet aux utilisateurs de combiner des cartes interactives, des médias audiovisuels et du texte pour raconter des histoires de manière captivante. En intégrant la cartographie dynamique avec des éléments narratifs, ARCGIS StoryMaps permet de partager des contenus de manière engageante et accessible, facilitant ainsi la communication visuelle de données et d’analyses.

La première partie de l’atelier propose un tour d’horizon des principales fonctionnalités de ARCGIS StoryMaps et des étapes nécessaires pour vous lancer dans la création de votre premier récit interactif. Dans la deuxième partie de l’atelier, notre équipe sera là pour vous aider à créer votre premier récit en ligne adapté selon vos champs d’intérêts et besoins.

Atelier présenté et animé par Simon Côté-Lapointe

Simon Côté-Lapointe est bibliothécaire en histoire, philosophie, sciences des religions et linguistique et responsable des humanités numériques à l’UQAM. Il est détenteur d’un doctorat en sciences de l’information portant sur les archives audiovisuelles. Les méthodes et outils numériques pour la recherche ainsi que la gestion, l’organisation, la préservation et la diffusion des données et documents sont parmi ses champs d’intérêt.

Guides liés: Humanités numériques by Simon Côté-Lapointe

Nettoyage des données (utilisation d’un tableur pour organiser ses données)
2024-11-18 00:00 - 23:59
Date: 18 novembre 2024

Description: cet atelier vise à enseigner les concepts de base et quelques outils permettant de faciliter et d’accélérer la manipulation de données. Vous apprendrez les bonnes pratiques de la saisie de données, les erreurs de formatage les plus courantes à éviter, différentes approches pour entrer des dates correctement dans un tableur, une méthode de contrôle de qualité de base et comment exporter les données. L’atelier est basé sur le matériel de Library Carpentry et contient des exemples issus des sciences humaines et sociales et des domaines de recherche d’information.

Requis techniques: avant l’atelier, assurez-vous d’avoir installé un logiciel d’édition de tableurs. Library Carpentry suggère LibreOffice.

Comment raconter les récits archéologiques en TEI et CIDOC-CRM?
2024-11-19 00:00 - 23:59 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
Date: 19 novembre 2024

Cet atelier a lieu de 11h30 à 12h30 (heure de l’Est) dans la salle 302 du Perez Hall.

En exploitant le potentiel des humanités numériques, nous pouvons explorer comment leurs approches, combinées aux sources originales écrites, nous permettent de repenser la façon dont les connaissances sont structurées, partagées et interopérables sur le web. La doctorante ALICE DEFOURS (dépt. de communication à l’uOttawa) nous rejoindra pour discutera de sa recherche doctorale, qui vise à publier une édition numérique d’un ensemble de données d’artefacts tangibles qui est interactive, critique et enrichie par des données ouvertes liées.

Présentation française.

Introduction aux expressions régulières
2024-11-19 00:00 - 23:59
Date: 19 novembre 2024

Description: les expressions régulières servent à trouver des chaînes de caractères dans des données textuelles, mais avec une syntaxe très puissante. Si vous devez chercher au-delà d’une simple chaîne de caractères, avec ou sans respect de la casse, il est alors temps de considérer l’utilisation des expressions régulières. En effet, les expressions régulières excellent à trouver des patrons de caractères dans des textes, et ce, à partir de plusieurs applications et langages de programmation. C’est ce que nous verrons dans cet atelier basé sur le matériel de Library Carpentry.

Requis techniques: si vous êtes sur Windows, nous recommandons l’installation de Git for Windows (instructions ici). Linux et macOS ont déjà leur propre terminal.

Ces deux ateliers d’introduction sont de niveau débutant. Aucune expérience ou connaissance préalable n’est requise. Ces ateliers sont inspirés des leçons de Library Carpentry, une initiative faisant partie de la communauté des Carpentries qui enseigne aux chercheuses et chercheurs de partout dans le monde les rudiments de la programmation et des techniques de manipulation des données.

Data analysis and visualization with Python [online, DAT201]
2024-11-20 00:00 - 23:59
Date: 20 November 2024

Difficulties encountered while manipulating or analyzing large data sets with spreadsheets can be avoided with Python scripts. In this workshop, you will learn to perform basic data analysis, from loading data to visualizing it. A few software libraries will be introduced, such as Pandas and Altair.

Registration

Academic participant : 10$

Non-academic participant : $200

Prerequisites

PYT101 completion or understanding the basics of object-oriented programming

Course plan

Session 1 (2024-11-20, 09:00 – 12:00)

Pandas and DataFrames;

Indexing, slicing, and selecting datasets.

Session 2 (2024-11-27, 09:00 – 12:00)

Combining datasets;

Automating analysis;

Data visualization with a specialized Python module.

Instructor

Darcy Quesnel, analyst in advanced research computing at Calcul Québec.

Technical prerequisites

We will use the Zoom platform. Because this event is a practical workshop, it is very useful having a secondary screen where you would get the instructor window on one screen and your own window on your main screen.

We will use the Jupyter Lab interface. Make sure you have a modern Web browser like Google Chrome, Firefox, Edge or Safari.

Contact

For any question, please write to training@calculquebec.ca.

Notes

The workshop could be canceled if the number of registrations is too low.

The workshop is not recorded.

Introduction to API Querying for HSS - Part III in the HSS Python Series
2024-11-20 00:00 - 23:59
Date: 20 November 2024

Description: This is a beginner-level 4-part series for humanities and social sciences (HSS) researchers (HSS) and librarians. API Querying & Textual Analysis – Parts III & IV focus on allowing participants to apply basic coding concepts to API querying and text-based analysis. API stands for application programming interface. It acts as a communication interface so different computers/systems can talk to the application hosting the API. Querying APIs in HSS research is useful because data changes rapidly and it is a way to capture a small piece of a much larger set of data.

This is a continuation of the HSS Python Series. It is highly recommended that you complete the 2-part Python series, Introduction to Python & Coding for HSS – Part I & II in the HSS Python Series, before registering for API Querying and Textual Analysis.

Technical requirements: Install Python using Anaconda. To run Python, we are going to use Jupyter Notebooks via JupyterLab. If you installed Anaconda, JupyterLab is installed on your system.

Introduction à uMap et ArcGIS Storymaps
2024-11-20 00:00 - 23:59 | UQAM | Université du Québec à Montréal, 400 rue Sainte-Catherine, Montreal, Québec, H2L 2C5
Cette présentation vise à faire un tour d’horizon de uMap et Storymaps, deux logiciels qui permettent de créer des cartes interactives.

L’application en ligne uMap permet de créer et de diffuser des cartes géographiques personnalisées, interactives et collaboratives. uMap est utile pour les chercheurs et étudiants universitaires, car l’application permet de présenter des données sur une carte en ligne et de collaborer à plusieurs personnes sur une même carte, offrant ainsi une plateforme conviviale pour la visualisation et la communication efficace des informations géospatiales.

ArcGIS StoryMaps est une plateforme de création de récits cartographiques immersive qui permet aux utilisateurs de combiner des cartes interactives, des médias audiovisuels et du texte pour raconter des histoires de manière captivante. En intégrant la cartographie dynamique avec des éléments narratifs, ARCGIS StoryMaps permet de partager des contenus de manière engageante et accessible, facilitant ainsi la communication visuelle de données et d’analyses.

Présenté par Katerine Grandmont et Simon Côté-Lapointe

Katerine Grandmont occupe le poste de technicienne en cartographie à la Cartothèque de l’UQAM. Elle détient une maitrise en géographie et a travaillé de nombreuses années dans le domaine de la recherche nordique, notamment à la cartographie des risques en milieux de pergélisol. Elle offre du soutien à la communauté universitaire pour l’utilisation d’outils et logiciels de cartographie et d’analyse spatiale et l’utilisation des données géospatiales.

Simon Côté-Lapointe est bibliothécaire en histoire, philosophie, sciences des religions et linguistique et responsable des humanités numériques à l’UQAM. Il est détenteur d’un doctorat en sciences de l’information portant sur les archives audiovisuelles. Les méthodes et outils numériques pour la recherche ainsi que la gestion, l’organisation, la préservation et la diffusion des données et documents sont parmi ses champs d’intérêt.

Guides liés: Humanités numériques by Simon Côté-Lapointe

Literary Divisions (Technical)
2024-11-21 00:00 - 23:59 | LEMDO
In this technical webinar, LEMDO Project Manager, Navarra Houldin, will explain how we use the TEI attribute @xml:id to number speeches and link speakers in modernized texts.

GIS Drop-In Session
2024-11-21 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Date: 21 November 2024

Do you have any questions about Geographic Information Systems (GIS)? Need help with an analysis tool or troubleshooting an issue? Curious how GIS could be used in your research? Drop-in with your questions, data, or project to get assistance from the Library’s GIS Specialist.

Facilitator Bio:

Christine Homuth (she/her) is the Library’s GIS Specialist, providing support and resources to students, researchers, and faculty members working with Geographic Information Systems (GIS) and geospatial data.

Introduction to Large Language Models (LLMs)
2024-11-21 00:00 - 23:59
Date: 21 November 2024

This workshop focuses on Large Language Models (LLM) to provide participants with a foundational understanding of LLM, their working, and how to fine-tune a pre-trained LLM for your own data.

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.

The first hour of the workshop will be core content and the last 30 minutes will be reserved for questions and hands on experimentation.

Learning objectives

At the end of this workshop, you will be able to:

Fine tune pre-trained LLM model to customize for a sample dataset.

Understand architecture and working of LLM

Gain knowledge of some popular pre-trained LLM models

Instructor: Aisha Eldeeb

Data Management for Ethics
2024-11-25 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Date: 25 November 2024

Are you applying for research ethics? Are you unsure what your responsibilities are for managing it or trying to figure out what a good way to manage it is?

In this workshop, we will discuss the foundations of working with sensitive data including how to protect your data, your research participants, and yourself. We’ll take about how and when to de-identify sensitive data, and how to share sensitive data.

Presentation by Isaac Pratt, Research Data Management Specialist. Book an appointment with Isaac or another member of the Sherman Centre Team.

Details: This virtual workshop will be recorded. The recording will be posted to the Sherman Centre’s Online Learning Catalogue.

Facilitator Bio:

Isaac Pratt (he/him) is a research scientist by training and has a PhD in Anatomy & Cell Biology. He leverages nearly a decade of interdisciplinary research experience to help support students, staff, and faculty. His expertise lies in questions surrounding data storage, security, planning, archival, and sharing. Isaac also provides support and curation services for McMaster Dataverse. His other interests include reproducible research methods, open science, and data science.

Introduction to Git and GitHub
2024-11-26 00:00 - 23:59
Date: 26 November 2024

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.

Instructor: Andrew Li

Textual Analysis using Python for HSS - Part IV in the HSS Python Series
2024-11-27 00:00 - 23:59
Date: 27 November 2024

Description: This is a beginner-level 4-part series for humanities and social sciences (HSS) researchers (HSS) and librarians. API Querying & Textual Analysis – Parts III & IV focus on allowing participants to apply basic coding concepts to API querying and text-based analysis. We will use a Python library to analyze textual data and learn about common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, and more to explore meaningful trends in language patterns.

This is a continuation of the HSS Python Series. It is highly recommended that you complete the 2-part Python series, Introduction to Python & Coding for HSS – Part I & II in the HSS Python Series, before registering for API Querying and Textual Analysis.

Technical requirements: Install Python using Anaconda. To run Python, we are going to use Jupyter Notebooks via JupyterLab. If you installed Anaconda, JupyterLab is installed on your system.

Introduction aux humanités numériques
2024-11-27 00:00 - 23:59 | UQAM | Université du Québec à Montréal, 400 rue Sainte-Catherine, Montreal, Québec, H2L 2C5
Les humanités numériques réfèrent à l’utilisation d’outils et de pratiques numériques dans les sphères des sciences humaines et sociales et des arts et lettres. Le numérique peut intervenir à différents moments d’une recherche en sciences humaines et sociales et en arts et lettres, et ce, peu importe la nature et la portée du projet.

Cette présentation se veut une introduction aux méthodes et outils en humanités numériques ainsi qu’un tour d’horizon des ressources et services offerts au Service des bibliothèques de l’UQAM en lien avec les humanités numériques.

Guides liés: Humanités numériques by Simon Côté-Lapointe

Introduction to Machine Learning: Regression Models
2024-11-28 00:00 - 23:59
Date: 28 November 2024

This workshop focuses on regression models to provide participants with a foundational understanding of machine learning concepts, techniques, and tools used for linear and nonlinear regression. Through a combination of lectures and hands-on exercises, participants will gain practical experience with regression algorithms, one of the most popular machine-learning techniques. The workshop begins with an overview of regression, exploring its various types and applications and continues with training regression models, interpreting the results, and making predictions using real-world datasets. Additionally, participants will gain insights into advanced topics such as regularization and feature selection. By the end of this workshop, you will have a solid understanding of regression models and be familiar with popular Python libraries and tools to implement them.

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.

Instructor: Aisha Eldeeb

Not another bloody talk about ‘AI’; or, these things are interesting and may be useful with lots of caveats
2024-12-03 00:00 - 23:59 | University of Ottawa, 50 University Private, Ottawa, Ontario, K1N 6N5, Canada
3 December 2024

This workshop takes place from 11:30-12:30 (Eastern) in Perez Hall room 302

The hype cycle around ‘ai’ induces whiplash, things move so fast. And for many reasons, the deployment of these – what shall we call them: neural models? Language models? Artificial (un)Intelligence? – are done in ways that diminish human dignity, or endanger us (think: energy demands). DR. SHAWN GRAHAM (Dept. of History at Carleton University) will join us to discuss his recent experience working with students on trying to grapple with what AI does to the doing of history, and share some of their initial conclusions from our year-long investigation.

English presentation.

Introduction to Machine Learning: Classification and Clustering
2024-12-05 00:00 - 23:59
Date: 5 December 2024

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.

Instructor: Aisha Eldeeb

Introduction to Machine Learning: Neural Networks
2024-12-12 00:00 - 23:59
Date: 12 December 2024

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.

Instructor: Aisha Eldeeb

Annotations (Technical)
2024-12-19 00:00 - 23:59 | LEMDO
In this technical webinar, LEMDO Project Manager, Navarra Houldin, will guide editors through the process of encoding their annotation files.

Introduction to Large Language Models (LLMs)
2024-12-19 00:00 - 23:59
Date: 19 December 2024

This workshop focuses on Large Language Models (LLM) to provide participants with a foundational understanding of LLM, their working, and how to fine-tune a pre-trained LLM for your own data.

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.

The first hour of the workshop will be core content and the last 30 minutes will be reserved for questions and hands on experimentation.

Learning objectives

At the end of this workshop, you will be able to:

Fine tune pre-trained LLM model to customize for a sample dataset.

Understand architecture and working of LLM

Gain knowledge of some popular pre-trained LLM models

Instructor: Aisha Eldeeb

DH Project Foundations: Best Practices for Getting Started
2025-01-07 00:00 - 23:59 | The University of British Columbia, 1958 Main Mall, Vancouver, British Columbia, V62 1Z2, Canada
Date: January 7 2025

This workshop sets the foundation for those at the beginning stages of a DH project. Specifically, this workshop will provide an introduction to best practices and workflows for those embarking on a TEI-based project. Topics will include best practices for file naming, organizational and naming practices, version control in Git/GitHub, and setting up a local environment for TEI encoding.

This workship is presented in partnership with the Digital Scholarship in the Arts Initiative (DiSA) and the Adaptive TEI Network Initiative.

Instructor: Joey Takeda

Joey Takeda is a Developer in the Digital Humanities Innovation Lab, Simon Fraser University Library and a member of the TEI Technical Council.

Data Bites - Best Practices for File Formatting
2025-01-14 00:00 - 23:59
Do you struggle with organizing your research materials? This 30-minute workshop highlights practical techniques for file formatting. Join us to learn more about data formats, data access, and data preservation.

Best Practices for Managing Data in your Research
2025-01-15 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Date: 15 January 2025

TIFU by losing a ton of data for my research – Have you ever seen a description like this on Reddit? Are your desktop and downloads folders a jumble of files named Data-finalFINAL-USETHISONE? Is all of your lab’s data stored on a single drive? Join research data management services and learn how investing a small amount of time in organizing your data now can save you a lot of time and prevent future headaches. In this introductory workshop, learn about research data management best practices. We will go over best practices for data planning, storage, organization, preservation, and sharing.

By the end of the session participants will be empowered to: Produce a plan for their data, organize and document their data consistently, store and back-up their data securely, and select an appropriate data repository for archival and sharing.

Details: This virtual workshop will be recorded. The recording will be posted to the Sherman Centre’s Online Learning Catalogue.

Facilitator Bio:

Isaac Pratt (he/him) is a research scientist by training and has a PhD in Anatomy & Cell Biology. He leverages nearly a decade of interdisciplinary research experience to help support students, staff, and faculty. His expertise lies in questions surrounding data storage, security, planning, archival, and sharing. Isaac also provides support and curation services for McMaster Dataverse. His other interests include reproducible research methods, open science, and data science.

Danica Evering holds expansive experience with research support, education, project management, advocacy, and knowledge translation; with fluency in social practice art, healthcare, community research, data, and systems development. Danica supports students, postdocs, faculty, and staff with RDM through the data lifecycle—Data Management Plans, storage and backup, data security, data sharing. With an MA in Media Studies from Concordia, they are interested in fostering RDM within curious scholars and disciplines.

Sources (Technical)
2025-01-16 00:00 - 23:59 | LEMDO
In this technical webinar, LEMDO Project Manager, Navarra Houldin, will guide editors through encoding and linking to a bibliography entry.

Introduction aux humanités numériques
2025-01-20 00:00 - 23:59

Introduction to Machine Learning: Regression Models
2025-01-20 00:00 - 23:59
This workshop focuses on regression models to provide participants with a foundational understanding of machine learning concepts, techniques, and tools used for linear and nonlinear regression. Through a combination of lectures and hands-on exercises, participants will gain practical experience with regression algorithms, one of the most popular machine-learning techniques. The workshop begins with an overview of regression, exploring its various types and applications and continues with training regression models, interpreting the results, and making predictions using real-world datasets. Additionally, participants will gain insights into advanced topics such as regularization and feature selection. By the end of this workshop, you will have a solid understanding of regression models and be familiar with popular Python libraries and tools to implement them.

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.

Or view other upcoming Digital Scholarship workshops.

Introduction to making minimal websites and digital ephemera
2025-01-21 00:00 - 23:59
Date: January 21 2025

Reg Beatty

The “small web” is equal parts political and aesthetic. It engages with questions, posed by the early web, about what it means to have a personal presence online but in the light of today’s ubiquitous social media and commercialization.

This Intro will touch on these aspects of the small web but will focus on one of its hallmarks—the handmade web page. Using a minimal palette of HTML and CSS we will see how quickly a page can be created and published. This can be anything from a professional portal linking dispersed materials, to a zine, a poem, or ephemera like a bulletin, a postcard.

For those of you that want to explore this further (or are unable to attend on Jan 21) we will be offering two hands-on workshops in February. These will be hybrid events held on Zoom and at the Library’s Collaboratory. The tentative dates are Feb 7 and 14 (both Fridays) from 10am until noon EST. If you are interested please use the registration button on our website and we will stay in touch.

Instructor: Reg Beatty

Data Bites - Best Practices for Creating a README file
2025-01-21 00:00 - 23:59
Do you struggle with organizing your research materials? This 30-minute workshop highlights practical techniques for creating a README file. A README is a guide to your data and assists other researchers to understand your dataset, its contents, provenance, licensing and how to interact with it.

Creating Exhibitions with Omeka S
2025-01-22 00:00 - 23:59 | McMaster University, 1280 Main St W, Hamilton, Ontario, L8S 4L8, Canada
Date: 22 January 2025

Learn how to use Omeka S to manage digital collections and create scholarly exhibits. This tutorial will introduce participants to the basic functions of Omeka S, including how to create an archival item collection, add metadata, and build a digital exhibit.

Learning Outcomes: Learn how to add items to Omeka S. Understand different features that contribute to an engaging digital exhibition.

Details: Any preparatory work for the session can be found on its information page. This virtual workshop will be recorded and shared on the same page, and discoverable via the Sherman Centre’s Online Learning Catalogue.

Facilitator Bio: Subhanya (she/her) brings a background of research in data justice, science and technology studies, and environmental humanities. She is currently thinking through participatory data design which allow for visualizations that are empowering for the end user.
