Calendar

DESCRIPTION: During this workshop, we will learn about matplotlib which is a popular Python library that is great for 2D visualizations, and ParaView, a free and open-source visualization tool for creating 3D visualizations of your datasets. In this interactive workshop you will get familiar with how ParaView works and at the end you should be able to generate basic visualizations of the demo data.

TEACHER: Jarno van der Kolk (University of Ottawa)

LEVEL: Introductory

FORMAT: Lecture + Hands-on

CERTIFICATE: Attendance

PREREQUISITES: None

DESCRIPTION: Research Data Management (RDM) has emerged as a key component of the broader DRI (Digital Research Infrastructure) ecosystem. FAIR principles (making data Findable, Accessible, Interoperable, and Reusable) have been at the core of RDM initiatives for almost a decade now -- but how has our understanding and application of these principles evolved to address emerging technologies such as Machine Learning and AI? To answer this, we look at a recent policy document, "Enabling Global FAIR Data: WorldFAIR Policy Recommendations for Research Infrastructures", published by CODATA and WorldFAIR in 2024. The first half of this session will provide a high-level distillation of, and reflection upon, this global policy brief, flagging areas where Canadian stakeholders can better support and promote FAIR data practices. The second half of this session will address the importance of the FAIR principles at a time when data are being suppressed or deleted, data agencies are being gutted or shuttered, and data-driven decision making is devalued and disparaged. Real-world examples will be provided to illustrate the range and impact of the data deletion chaos we are witnessing in real time, and possible responses to these actions.

TEACHERS: Ann Allan (Compute Ontario) and Jeff Moon (Compute Ontario)

LEVEL: Introductory

FORMAT: Lecture

CERTIFICATE: Attendance

PREREQUISITES: None

DESCRIPTION: This session provides an introduction to data curation concepts and best practices. As an essential step in the data publication process, data curation techniques can be useful at all stages of a research project and across research disciplines. Attendees will learn the foundational principles of data curation, including the reasons for curation, and leave with a toolkit of resources that can be adapted to institutional and disciplinary needs.

TEACHER: Mikala Narlock (Indiana University Bloomington)

LEVEL: Introductory

FORMAT: Lecture

CERTIFICATE: Attendance

PREREQUISITES: None

DESCRIPTION: During this workshop, we will learn about matplotlib which is a popular Python library that is great for 2D visualizations, and ParaView, a free and open-source visualization tool for creating 3D visualizations of your datasets. In this interactive workshop you will get familiar with how ParaView works and at the end you should be able to generate basic visualizations of the demo data.

TEACHER: Jarno van der Kolk (University of Ottawa)

LEVEL: Introductory

FORMAT: Lecture + Hands-on

CERTIFICATE: Attendance

PREREQUISITES: None

DESCRIPTION: The Introduction to Alliance RDM Services webinar will feature experts that will discuss good research data management practices. The training will begin with an overview of research data management and then provide helpful guidance and tips for the different stages of the research data lifecycle focusing on the stages of data management planning, data preservation, active data management and sharing and discovery of data. We will highlight different tools and services that are available to researchers as they embark on their research journey.

TEACHER: Marcus Closen (Alliance), Tristan Kuehn (Alliance), Daniel Manrique-Castano (Alliance), and Amanda Tomé (Alliance)

LEVEL: Introductory

FORMAT: Webinar

CERTIFICATE: Attendance

PREREQUISITES: None

DESCRIPTION: This session will focus on enhancing the FAIRness of sensitive and restricted access research data through strategies that support data deposit, de-identification, and responsible re-use. Participants will explore ensuring consent language enables data sharing, resources to support de-identification practices in preparation for deposit, and approaches to metadata and data deposit that facilitate controlled data re-use. The session will highlight practical considerations and real-world examples relevant to researchers, data stewards, and repository professionals working with sensitive or restricted access data.

TEACHER: Victoria Smith (Alliance)

LEVEL: Introduction

FORMAT: Lecture

CERTIFICATE: Attendance

PREREQUISITES: None