Great overview of the Canadian Association of Research Libraries (CARL) research data management course. The post goes through the steps of the course and the lessons learned. I’m glad Canada is starting to jump on to this trend as I think there are many opportunities for librarians to assist in research data management. I can’t wait to share what I’m learning about data sharing and data management at the NLM with Canadian libraries once my fellowship is finished!
Originally posted on libraries, etc.:
Last month, I attended CARL’s 4-day course on Research Data Management Services in Toronto. (Jargon alert: CARL is the Canadian Association of Research Libraries). This was an intensive week of collaborating on research data management (RDM) practices and creating a community of practice within Canadian academic librarianship. Our concern for sound RDM practices at Canadian universities brought together librarians with all kinds and levels of expertise so that we could share tools and develop action plans that will make a positive impact in this field.
1. Research Data Management, Data Lifecycles, and Research Data Lifecycles
What is research data management? I won’t go into textbook-detail suffice to say we’re talking about systematic practices that govern how research data are defined, organized, collected, used and conserved before, during, and after the research process. That sentence is a mouthful and it covers a lot of ground, so I suggest you look to Chuck Humphrey’s Research Data Management Infrastructure (RDMI) site for a more focused definition. Chuck is hailed in Canada for his data management expertise, and he led many sessions at the workshop. He explains that: