Good data management is beneficial to researchers, research communities, and the society in general. In the digital research environment, it also increasingly becomes an expectation and requirement.
Why is RDM important?
RDM enables researchers to organize, store, access, reuse and build upon digital research data. RDM is essential to Canadian researchers’ capacity to securely preserve and use their research data throughout their research projects, reuse their data over the course of their careers and, when appropriate, share their data. Furthermore, as an acknowledged component of research excellence, strong RDM practices support researchers in achieving scientific rigor and enable collaboration in their fields.
Source: Tri-Agency Research Data Management Policy - Frequently Asked Questions (science.gc.ca)
Watch the following video to understand why research data management is mission critical.
Video information: Rethinking research data by Kristin Briney at TEDxUWMilwaukee
Data Management refers to the storage, access and preservation of data produced from a given investigation. 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 of data deliverables after the research investigation has concluded. Specific activities and issues that fall within the category of data management include: File naming (the proper way to name computer files); data quality control and quality assurance; data access; data documentation (including levels of uncertainty); metadata creation and controlled vocabularies; data storage; data archiving and preservation; data sharing and reuse; data integrity; data security; data privacy; data rights; notebook protocols (lab or field). RELATED TERM. Data stewardship
Source: Research Data Management Terminology - CODATA, The Committee on Data for Science and Technology
A primer - Research Data Management
Portage Network. (2020, August 25). Primer - Research Data Management. Zenodo. https://doi.org/10.5281/zenodo.4000999
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