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Data and Statistics

An overview of topics related to data and statistics.

What is Research Data Management?

Link to Primer (embedded below)

The Tri-Agency Research Data Management Policy (March 15, 2021) puts forth rules on the management of research data across Canada, with a Data Management Plan (DMP) as the key component.

The FAIR Principles

Related to RDM there exists an international effort by scientists and organisations to improve scientific data management and stewardship was published and endorsed by G20:

The FAIR Principles

In 2016, the ‘FAIR Guiding Principles for scientific data management and stewardship’ were published in Scientific Data. The authors intended to provide guidelines to improve the Findability, Accessibility, Interoperability, and Reuse of digital assets. The principles emphasise machine-actionability (i.e., the capacity of computational systems to find, access, interoperate, and reuse data with none or minimal human intervention) because humans increasingly rely on computational support to deal with data as a result of the increase in volume, complexity, and creation speed of data.

Source: GO FAIR. (n.d.). The FAIR Principles.

  • F1. (Meta)data are assigned a globally unique and peristent identifier
  • F2. Data are described with rich metadata
  • F3, Metadata clearly and explicitly include the identifier of the data they describe
  • F4. (Meta)data are registered or indexed in a searchable resource.
  • A1. (Meta)data are retrievable by their identifier using a standardised communications protocol
    • A1.1 The protocol is open, free, and universally implementable
    • A1.2 The protocol allows for an authentication and authorisation procedure, where necessary
  • A2. Metadata are accessible, even when the data are no longer available
  • I1. (Meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation
  • I2. (Meta)data use vocabularies that follow FAIR principles
  • I3. (Meta)data include qualified references to other (meta)data
  • R1. (Meta)data are richly described with a plurality of accurate and relevant attributes
    • R.1.1. (Meta)data are released with a clear and accessible data usage license
    • R.1.2. (Meta)data are associated with detailed provenance
    • R.1.3. (Meta)data meet domain-relevant community standards

Research Ethics

Research Ethics

Ensure that you follow research ethics guidelines and the guidelines of the faculty member overseeing your research to ensure all appropriate consent forms are signed and submitted for any research involving human participants.

RDM Resources

Canadian Agencies and Policies

Canadian RDM Repositories

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