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SUMMARY:Communities Empowered by Data 101: Tools and Best Practices
DESCRIPTION:Date: February 19 2026 \n\n\n\nCommunity-led data practices empower and support community-led grassroots actions and initiatives. Data are valuable and we need to work together to take care of them\, from the initial planning stages of a project to where it lives after the work is complete. In this 101-level session\, we’ll introduce the Community Research Data Toolkit—a new Pressbook filled with guidance and resources to support communities in taking an active role in data management. Topics include using data management plans as tools for building trust\, exploring options for long-term community-held data\, and more. Following an interactive overview\, we’ll save some time to workshop challenges and possibilities through a set of applicable case studies. \n\n\n\nParticipants will learn to: \n\n\n\n\nSummarize RDM best practices and what Data Management Plans and Data Deposit look like in community-based research\n\n\n\nLocate available tools\, training\, and guidance\n\n\n\nAppraise the tools and prepare to implement Community control for data in your work.\n\n\n\n\nThis session is designed for non-profits\, activists\, community organizations\, and the researchers and data professionals who work with them! \n\n\n\nDetails: 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. \n\n\n\nFacilitator Bio:  \n\n\n\nDanica Evering holds broad 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. \n\n\n\nIsaac 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. \n\n\n\nSubhanya Sivajothy (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. \n\n\n\nCertificate Eligibility: This workshop is eligible for the Sherman Centre’s certificate program. For more information\, visit scds.ca/certificate-program. It is also eligible for the Canadian Certificate for Digital Humanities. To learn more\, visit ccdhhn.ca or contact scds@mcmaster.ca. \n\n\n\nCredit Eligibility: This workshop counts toward credit for students in the Faculty of Science who are enrolled in SCIENCE 2SF1: Digital Skills Workshop. For any questions\, please contact oursci@mcmaster.ca.
URL:https://ccdhhn.ca/workshop/communities-empowered-by-data-101-tools-and-best-practices/
LOCATION:McMaster University\, 1280 Main St W\, Hamilton\, Ontario\, L8S 4L8\, Canada
CATEGORIES:1-4 hour workshop
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SUMMARY:Introduction to Python Two Day Intensive
DESCRIPTION:This two day intensive workshop is an introduction to Python programming\, with a focus on skills that are relevant to students and researchers who are working with data\, particularly tabular data. \n\n\n\nWhen: February 19th and 20th\, 10am – 12pm and 1pm-4pmWhere: Online synchronous over Zoom or in the Presentation Room\, r. 548 and 552\, Koerner Library (participants can choose whether to attend in person or virtually). \n\n\n\nThe five sections cover the following: \n\n\n\n\nPart 1: To understand the basics of Python syntax\, variables\, and data types.\n\n\n\nPart 2: To learn how to work with tabular data in Python\, including reading\, manipulating\, and visualizing data.\n\n\n\nPart 3: To learn how to automate tasks in Python\, including working with multiple files.\n\n\n\nPart 4: To learn to use logic and modularity to make Python code flexible and reusable.\n\n\n\nPart 5: To develop good habits for programming for research in Python\, including handling errors\, debugging\, and writing reliable code.\n\n\n\n\nEach workshop day will be broken out into a 2h morning session\, 1h lunch\, and 3h afternoon session.  \n\n\n\nPrerequisites:\n\n\n\nThere are no prerequisites needed for this series; no prior programming experience is required. \n\n\n\nSetup Instructions:\n\n\n\nIn these workshops\, we will write Python code in a text editor called Visual Studio Code (VS Code). \n\n\n\nPlease follow the following steps/links to complete the setup for this workshop series before you attend: \n\n\n\n\nInstall a Python Interpreter\n\n\n\nInstall Visual Studio Code\n\n\n\nInstall the Python extension for VS Code. If you want more info on installing extensions for VS Code\, see this page on their “Extension Marketplace”\n\n\n\nInstall this Python Debugger extension for VS Code\n\n\n\n\nNOTE: You may use your own preferred text editor or Jupyter Notebooks to write code in these workshops\, but keep in mind that some aspects may be unpredictably different from the way things appear on the instructor’s screen. For example\, the instructor will frequently use the Python Debugger in VS Code\, and other text editors may have entirely different mechanisms for debugging\, and you may have to figure that out on your own. If you want to follow what the instructor is doing exactly\, you should install VS Code and the extensions listed above. \n\n\n\nPresenter(s): Kendra Oudyk
URL:https://ccdhhn.ca/workshop/introduction-to-python-two-day-intensive/
LOCATION:The University of British Columbia\, 1958 Main Mall\, Vancouver\, British Columbia\, V62 1Z2\, Canada
CATEGORIES:4-10 hour workshop
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