Research Data Sharing and Management: An Introduction
Sharing scholarly research data and making it widely accessible has many important benefits. A great deal of research data has been lost in the past by not being well managed, organized or kept available in accessible formats.
In recent years the Government of Canada, and Canada's Tri-agency funding agencies, and many global organizations have strongly committed to open science, open scholarship, and open access to research data. Canada's commitment is outlined in the document Seizing Canada's Moment: Moving Forward in Science, Technology and Innovation.
“In order to pursue important research questions, scientist and scholars are increasing looking to harness large and complex data systems ("big data") and adopt "open science" policies to foster collaboration” Government of Canada.
“Sharing the data behind scholarly research promotes the best features of science and scholarship: transparency, high quality and replicability.” University of New Brunswick Libraries.
Research Data Management
Research data must be well managed, in order to be shared. That is to say, data needs to be be carefully organized and described, from the outset, in order to be effectively used by others in the future.
"Data management practices cover the entire lifecycle of the data, from planning the investigation to conducting it, and from backing up data as it is created and used, to long term preservation after the research investigation has concluded..."
The Research Data Managemeent process includes: