Research Data Management Librarian Academy [RDMLA]

Self-paced

Enroll

Course Date:

Open

Duration:

Ongoing

Commitment:

1.5-2 hrs/unit

Requirement:

None

Course Type:

Self-paced

Credential:

Certificate; Cont Ed Credits (CEUs)

Description

RMDLA

The Research Data Management Librarian Academy (RDMLA) is a free online professional development program for librarians, information professionals, or other professionals who work in a data-intensive environment throughout the world. RDMLA features a unique partnership between a LIS academic program, academic health sciences and research libraries, and Elsevier.

The RDMLA curriculum focuses on the essential knowledge and skills needed to collaborate effectively with researchers on data management. The RDMLA curriculum focuses on the essential knowledge and skills needed to collaborate effectively with researchers on data management. The curriculum features eleven, online, and self-paced learning units and two mini-modules that cover topics such as the foundations of research data management (RDM), research culture, advocating and marketing for RDM services in libraries, project management, an overview of research data management tools, among others.

Welcome Video

Introduction & Two Year Anniversary

Objectives

At the end of this course, you’ll be able to:

Summarize research workflow and specify information professionals’ role in each stage of the data life cycle
Understand the value and approaches to navigating research culture and partnering with members of the research ecosystem
Identify institutional research data management stakeholders and describe strategies for advocating the library’s role in RDM
Design action plans to launch and manage data services in libraries
Develop RDM project management plans and evaluate RDM processes, outcomes, and impact/value
Describe the steps of data analysis and visualization and develop skills in using relevant tools such as R and Tableau
Develop skills in using appropriate RDM programming tools such as Python and Jupyter Notebook to meet data needs
Gain familiarity with a variety of platform tools for data sharing, storage, discovery, reuse, and reproducibility

Target Audience: Librarians, information professionals, or other professionals who work in a research-intensive environment throughout the world.

Course is offered by the Research Data Management Librarian Academy (RDMLA) Partnership with financial support from Elsevier.

RDMLA Lead Instructors

Elaine Martin

Director and Chief Administrative Officer, Countway Library

Elaine Martin joined the Countway Library as the Director and Chief Administrative Officer in 2016. Under her direction she oversees and manages a complex organization with a $11 million budget and one of the largest collections of both current medical research materials and historical and rare collections in the world, holding more than 630K vol.

Rong Tang

Professor and Director of SLIS Ph.D. Program

Rong Tang received her doctorate from the School of Information and Library Science, University of North Carolina Chapel Hill. She has taught evaluation of information services, technology for information professionals, library automation systems, digital information services and providers, research methods and design, and usability research.

Emily Singley

Vice President, North American Library Relations at Elsevier.

Emily Singley served as Associate University Librarian for Technology and Technical Services at Boston College, where her management portfolio included scholarly communication, metadata, technology, digitization, and acquisitions. Prior to that, Emily held library technology roles at Harvard University, Southern New Hampshire University, and Curry College. Emily has a strong record of service to the library community, previously serving in leadership roles with Seamless Access, the Ex Libris User Group, and the Boston Library Consortium. Emily holds a Masters in Library Science, a Masters in Music, and a Bachelors in Music.

Full course description