Research data includes observations about the world that are used, on the one hand, as primary sources to support scientific and technical research, research in the humanities and social sciences, and research-creation, and, on the other, as evidence in the research process.
Research data can take different forms, such as:
This process involves the on-going tracking of data throughout its lifecycle.
This means organizing data during collection, documentation, and secure storing; using the best data preservation methods; and sharing data ethically, all of which are components of research data management. To achieve this, a data management plan (DMP) is required.
An increasing number of research funding agencies and scholarly publications are asking researchers to manage their research data in an exemplary manner, preserve it, and make it as accessible as possible. To that end, Canada’s three research agencies (SSHRC, NSERC, and CIHR) have adopted a Statement of Principles on Digital Data Management, with which funding recipients should familiarize themselves.
However, good research data management enables research teams to establish a common foundation to avoid certain problems such as data loss, unauthorized communication of sensitive information, or transfer problems between team members.
Efficient data management in the context of remote access
Exclusive access to data for a reasonable period of time
Protection of confidential information and compliance with research ethics policies
Security and conservation of data
Extended use of data for various projects
Visibility and impact of research
This research guide is based on Université Sainte-Anne’s Guide sur la gestion des données de recherche.