Research data management overview

In 2016, the Tri-Agencies released their Statement of Principles on Digital Data Management, which articulates responsibilities at the researcher, research community, research institution, and research funder level. This policy is in step with the requirements of funding agencies worldwide, which are increasingly requesting that evidence of data management planning be demonstrated.

Research data management concerns the organization of data, from its entry to the research cycle through to the dissemination and archiving of valuable results. [1] Management of data begins with the drafting of data management plans, which must show agreement with ethical, legal and commercial obligations. Plans must also address the backup, preservation, retention, and sharing of data, as well as the timeliness of data sharing to accompany supporting publications where permissible.

Phases of the research data management lifecycle

The research data management lifecycle begins prior to conducting research. Whether you’re thinking through a small research project, writing a proposal or applying for a grant, drafting a plan is prudent and can help mitigate liability. These pages will help you guide you through the research data lifecycle, get organized, and point you to key information and resources on campus and beyond.

Before your research

For research in progress

Upon completion of research

The image below illustrates the Data Lifecycle [2]. Data management intersects with all phases of the research lifecycle and requires careful planning.

datalifecycle

[1] Source: http://www2.le.ac.uk/services/research-data/rdm/what-is-rdm