
Research Data Management learning resources, including guides, workshops, and a glossary of terms
This page contains information on upcoming UCalgary Research Data Management (RDM) workshops and events, resources, and an RDM glossary of terms. This page will be updated regularly as new workshops and resources are created.
If you have questions about how to use RDM in your research program, please contact research.data@ucalgary.libanswers.com.
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Upcoming events | Illuminating RDM webinars | Online resources | Info session materials | RDM Glossary | RDM Communications Mailing List
Illuminating RDM Webinars
All materials from the Illuminating RDM webinar series will be compiled into Open Educational Resources and added to the UCalgary Libraries Digital Collection. UCalgary CAS Login is required to access recordings and slides in their entirety.
Visit the Illuminating RDM webpage to register for future webinars.
Online resources
Libraries and Cultural Resources (LCR) - Research Guide
This LCR Research Guide for Research Data Management offers supports for RDM, learning materials, and best practices and tools to support management of your research data.
Visit: LCR RDM
Tri-Agency RDM Policy FAQ
The Tri-Agency RDM Policy FAQ offers information on both the policy and foundational RDM principles.
Visit: Tri-Agency RDM Policy
Info session materials
Miss out on an RDM info session? Slide decks and materials from previous sessions are below. Materials will be moved into archive when content is no longer up-to-date.
RDM Glossary
Data are facts, measurements, recordings, records, or observations collected by researchers and others, with a minimum of contextual interpretation. Data may be in any format or medium taking the form of text, numbers, symbols, images, films, video, sound recordings, pictorial reproductions, drawings, designs or other graphical representations, procedural manuals, forms, diagrams, workflows, equipment descriptions, data files, data processing algorithms, software, programming languages, code, or statistical records.
Source: Frequently Asked Questions
Tri-Agency Research Data Management Policy
Research data are data that are used as primary sources to support technical or scientific enquiry, research, scholarship, or creative practice, and that are used as evidence in the research process and/or are commonly accepted in the research community as necessary to validate research findings and results. Research data may be experimental data, observational data, operational data, third party data, public sector data, monitoring data, processed data, or repurposed data. What is considered relevant research data is often highly contextual, and determining what counts as such should be guided by disciplinary norms.
Source: Frequently Asked Questions
Tri-Agency Research Data Management Policy
An institutional RDM strategy describes how the institution will provide its researchers with an environment that enables and supports RDM practices. Developing these strategies will help research institutions identify and address gaps and challenges in infrastructure, resources and practices related to RDM.
Each strategy should reflect the institution’s particular circumstances, including the institution’s size and capacity, geography, and other contextual factors. The strategy would likely require input from various institutional units such as the administrative research office, the research ethics board, library services, IT services, and departments and faculties.
Source: Frequently Asked Questions
Tri-Agency Research Data Management Policy
A data management plan (DMP) is a living document, typically associated with an individual research project or program that consists of the practices, processes and strategies that pertain to a set of specified topics related to data management and curation. DMPs should be modified throughout the course of a research project to reflect changes in project design, methods, or other considerations.
DMPs guide researchers in articulating their plans for managing data; they do not necessarily compel researchers to manage data differently.
Source: Frequently Asked Questions
Tri-Agency Research Data Management Policy
“Data deposit” refers to when the research data collected as part of a research project are transferred to a research data repository. The repository should have easily accessible policies describing deposit and user licenses, access control, preservation procedures, storage and backup practices, and sustainability and succession plans. The deposit of research data into appropriate repositories supports ongoing data-retention and, where appropriate, access to the data.
Ideally, data deposits will include accompanying documentation, source code, software, metadata, and any supplementary materials that provide additional information about the data, including the context in which it was collected and used to inform the research project. This additional information facilitates curation, discoverability, accessibility and reuse of the data.
Source: Frequently Asked Questions
Tri-Agency Research Data Management Policy
From the Toolbox
Research Opportunities Database (ROD)
Research Management System (RMS)
Research Data Management (RDM)
Research Security Division (RSD)
Research Overhead Training
Webinars and Workshops Library
SUPPORT - Review Teams
Clinical Trials Research
IRISS
REB Exchange