Overview and details of the sessions of this conference. Please select a date or room to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
This agenda is preliminary and subject to change.
Please note that all times are shown in the time zone of the conference. The current conference time is: 19th May 2024, 11:28:27pm CST
Sponsored: Open education and competency-based learning in research data services: A successful model of collaborative innovation
Time:
Wednesday, 24/Apr/2024:
10:30am - 12:00pm
Session Chair: Michael Seadle
Location:Room 1-2
Ballroom Foyer on 2F-2/2
2楼宴会厅
Session Abstract
Presenters: Rong Tang, Sanda Erdelez, and Zhan Hu Simmons University School of Library and Information Science Boston, MA, USA
Abstract: One of the key pillars of open science outlined in UN’s 2021 Recommendation of Open Science is “Open Scientific Knowledge,” which includes scientific publications, open research data, and open educational resources, among others. We will present a successful model of open eduction and professional development in research data services. The presentation will describe two online programs, the Research Data Management Librarian Academy (RDMLA) and the Data Services Continuing Professional Education (DSCPE). We will conclude with our plan for next steps and future development.
The RDMLA is a global, free online professional development program for librarians and other information professionals who work in research-intensive environments. The curriculum, which includes eleven self-paced learning units and two mini-modules, focuses on the essential knowledge and skills needed to collaborate effectively with researchers on data management. As of January 16, 2024, RDMLA has more than 8,150 learners from all around the world. The course is also available in a Traditional Chinese translation thanks to a translation partnership with National Taiwan University (NTU) Library.
The DSCPE is a ten-week online intensive learning experience geared toward preparing early-to-mid career working librarians to provide needed data services. The curriculum consists of live sessions, remote self-paced learning, and a capstone experience. The program employs a competency-based education approach. The objective of this professional education is to train and develop a community of practice for data services librarians.
