RESEARCH DATA MANAGEMENT

RESEARCH DATA MANAGEMENT

This topical course is designed to introduce students to the conceptual and practical challenges of research data management and takes a highly innovative approach by "immersing" the participants in disciplinary research settings in subject domains beyond LIS, as part of the learning process. The seminar will explore disciplinary data diversity, but will also examine how universities and other organizations are developing policy, roadmaps, plans and tools to facilitate good research data management practice. The seminar will investigate roles, responsibilities, and relationships of key stakeholders engaging with legal and ethical data issues, advocacy and training methods, and the costs of providing such research data management services in institutions. A pragmatic approach will be supported by reference to case studies and exemplars, which show how researchers, librarians, technologists, administrators, and others are responding positively to the data challenge.

Class Name RESEARCH DATA MANAGEMENT
Host School The University of Pittsburgh
Class Identifier LIS 2676
Credit Value 3.0 Credit Hours
Faculty Dr. Liz Lyon
Course Tool (Online) Blackboard
Class Description This topical course is designed to introduce students to the conceptual and practical challenges of research data management and takes a highly innovative approach by "immersing" the participants in disciplinary research settings in subject domains beyond LIS, as part of the learning process. The seminar will explore disciplinary data diversity, but will also examine how universities and other organizations are developing policy, roadmaps, plans and tools to facilitate good research data management practice. The seminar will investigate roles, responsibilities, and relationships of key stakeholders engaging with legal and ethical data issues, advocacy and training methods, and the costs of providing such research data management services in institutions. A pragmatic approach will be supported by reference to case studies and exemplars, which show how researchers, librarians, technologists, administrators, and others are responding positively to the data challenge.
Class Disclaimer None
Delivery Asynchronous
Start and End Date January 4th, 2017 - April 29th, 2017
Start and End Time
(if synchronous)
Days of Week
(of class meetings, if synchronous)
Last Add Day November 23rd, 2016
Residency Start and End Date No Residency