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Working with Large Data Computing services and consultations are available for research projects with large data. Where Can I Get Support Using Software, Coding, Computing? SciNet Training & Education SciNet offers courses on scientific computing and data science. Data Sciences Institute – Data Sciences Café The Department of Statistical Sciences and the Data Sciences Institute hosts a weekly Data Sciences Café. The group meets once a week for coffee and provide statistical advice to non-statisticians...
Data-Intensive Research Services are available at the University for data-intensive research. These include software access, assistance with coding, computations, and high-performance computing. Where Can I Get Research Software? Licensed Software Office (LSO) Some software licenses can be purchased through the Licensed Software Office. Compute Canada Catalogue of Research Software This wiki provides an up-to-date list of the software available on Compute Canada national systems. This list is now maintained by the Digital Research Alliance of...
Your Content Goes Here Safeguarding Your Data Securing research data is a shared responsibility between researchers, the institution, and organizations involved in research. University Principles and Procedures for Research Security Engaging in International Research Partnerships: Principles and Approaches The University of Toronto has developed a set of principles for faculty members and for Divisions to consider when pursuing international partnerships. It is expected that faculty members will review these principles before engaging in an international...
Data Collection and Access Methods used to collect data vary based on the type of research. Data collection may involve technology or manual procedures. Survey Tool Options A variety of survey tools are available for research. Selecting the appropriate survey tool depends on the research project and data collection needs. This includes data storage and sharing, access permissions, complexity of the data collected, and data retention. REDCap REDCap (Research Electronic Data Capture) is a free...
Data Sharing There are many benefits to sharing research data. It increases academic impact, allows for use and reuse of data by researchers and others, enables collaboration, and is encouraged by funding agencies. Resources for How to Share Data The ability to share, and make data discoverable is an important factor when choosing long-term data storage options. We encourage you to view the Where Can I Store My Data? page to determine which storage option...
Digital Data Preservation Digital preservation is an important part of the data lifecycle continuum and should be considered an integral part of your research data management plan. How Do I Select Data for Preservation? While preservation is important, not all data should be preserved indefinitely. Some considerations include: Data that directly supports published research Data that must be shared as outlined by funder or other requirements Data that is vulnerable Data with historical significance Data...
DRI Portal / Intro to Data & Data Management Plans
What Is Research Data? Research data is any information that is collected, observed, generated or created, and used as evidence in the research process to validate research findings and results. Types of Research Data Data are recorded information items that are considered for reference or analysis. Types of data that are collected covers a broad range that can be in digital and non-digital formats or medium. These include but are not limited to: text, numbers,...
Research Data Management (RDM) Initiative Research Data Management practices help to ensure the quality, reliability, and integrity of research data that can enhance the credibility and impact of research findings. What is Research Data Management? Research Data Management (RDM) refers to the processes and actions throughout a project which guide the collection, documentation, storage, sharing, and preservation of research data. RDM is an element of Digital Research Infrastructure (DRI) that guides data collection best practices...
DRI Portal Search … DRI PORTAL Featured About the DRI Portal The Digital Research Infrastructure (DRI) Portal provides access to resources related to data management planning, research data storage and sharing, working with research data, and privacy and security considerations. Contact Us DRI PORTAL Featured INSTITUTIONAL RDM STRATEGY The University of Toronto has developed an Institutional Research Data Management (RDM) Strategy. The Strategy outlines the institutional commitment to responsible practices for the management of data...
Data Storage There are a variety of data storage options available locally at the University of Toronto and externally. Researchers can select the storage option based on their specific requirements. Secure Options for Longer Term Storing of Project Data Data repositories are a secure option for longer-term data sharing and storage. Generally, repositories are not meant to serve as active storage for work in progress. There are several tools available to help you determine which...
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