National Network of Libraries of Medicine
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Biomedical & Health Research Data Management for Librarians

Class Details

Course Description
Health sciences librarians are invited to participate in an online biomedical and health research data management training course, offered by the National Network of Libraries of Medicine (NNLM). The course provides basic knowledge and skills for librarians interested in helping patrons manage their research data. Attending this course will improve your ability to initiate or extend research data management services at your institution.
The major goal of this course is to provide an introduction to data issues and policies in support of developing and implementing or enhancing research data management training and services at your institution. The course topics include an overview of data management, choosing appropriate metadata descriptors or taxonomies for a dataset, addressing privacy and security issues with data, and creating data management plans.

About the Course
This class is offered asynchronously via Moodle, the NNLM’s learning management system. The class runs September 9 – November 8, 2019. Modules will be self-paced, but to receive credit, components must be submitted by November 8.
The class is modular in nature, and offered for variable credit. There are 8 modules (listed below), and a new module will open each week. Students may customize their experience by completing the modules of most interest or use to them, and it is recommended to complete the class in order. Modules may include videos, readings, discussions, and assignments.

Module 1: Research Data Management Overview & Data Lifecycle
Module 2: Data Curation & Documentation
Module 3: Data Standards, Taxonomies, & Ontologies

3A: Overview
3B: Applications
3C: Clinical

Module 4: Data Security, Storage, & Preservation
Module 5: Data Sharing & Publishing
Module 6: Data Management Plans

CE Credits
Upon successful completion of this course, you will be eligible to claim up to 32 continuing education credits from the Medical Library Association. Credit will be dependent on the number of modules completed.

What does it cost?
There is no charge for participating in the program.

Questions about the class?
Please contact nto@utah.edu

Class Date:
Region/Office: National
Sep 9, 2019 to Nov 15, 2019
Instructor(s):
Negeen Aghassibake, Data Visualization Librarian
Kirsten Burcat, MLIS, Data & Evaluation Coordinator
Karen Coghlan, Education and Outreach Coordinator
Derek Johnson, Health Professionals Outreach Specialist
Zoe Pettway Unno, Ph.D., MLIS, Education and Outreach Librarian
Nancy Shin, Research and Data Coordinator
Donna Harp Ziegenfuss, MS, EdD, Data Science Coordinator
Contact:
Continuing Education Credits: 
32
This class is now closed to registrants.

Biomedical & Health Research Data Management for Librarians is an online training course, offered by the National National Network of Libraries of Medicine (NNLM). This course provides basic knowledge and skills for librarians interested in helping patrons manage their research data. Attending this course will improve your ability to initiate or extend research data management (RDM) services at your institution.  The primary goal of this course is to improve your knowledge and skills in research data management and enable you to add or enhance research data management training and services at your institution. 

We also hope that you will build your confidence in discussing relevant issues in RDM and contribute to the growing community of information professionals with expertise in this area. 
RDM 101
Module One: Research Data Management Overview & Data Lifecycle 
Module Two: Data Curation & Documentation
Module Three: Data Standards, Taxonomies, & Ontologies
Module Four: Data Security, Storage, & Preservation
Module Five: Data Sharing & Publishing
Module Six: Data Management Plans

Objectives: 

The major goal of this course is to provide an introduction to data issues and policies in support of developing and implementing or enhancing RDM training and services at your institution. This material is essential for decision-making and implementation of these programs, particularly instructional and reference services. The course topics include an overview of data management, choosing appropriate metadata descriptors or taxonomies for a dataset, addressing privacy and security issues with data, and creating data management plans.