RESEARCH DATA INFRASTRUCTURE

RESEARCH DATA INFRASTRUCTURE

This seminar program will build on LIS 2975 Seminars Special Topics Research Data Management, and will focus on the elements of research data infrastructure which facilitate and enable effective data management. The program will examine approaches to data storage, data repositories and preservation practice, selected standards, schema, protocols and formats for describing datasets, data registries and catalogs enabling data discovery and the data publication process. We will explore developments in data citation and metrics to track data provenance and attribution. In each of the listed areas, there will be case studies and exemplars to illustrate the challenges and experiences of pilot implementations and fully operational services. Finally we will also consider public engagement with data, including the landscape of citizen science initiatives and the emergence of data science concepts and practice.

Class Name RESEARCH DATA INFRASTRUCTURE
Host School The University of Pittsburgh
Class Identifier LIS 2677
Credit Value 3.0 Credit Hours
Faculty Dr. Liz Lyon
Course Tool (Online) Blackboard
Class Description This seminar program will build on LIS 2975 Seminars Special Topics Research Data Management, and will focus on the elements of research data infrastructure which facilitate and enable effective data management. The program will examine approaches to data storage, data repositories and preservation practice, selected standards, schema, protocols and formats for describing datasets, data registries and catalogs enabling data discovery and the data publication process. We will explore developments in data citation and metrics to track data provenance and attribution. In each of the listed areas, there will be case studies and exemplars to illustrate the challenges and experiences of pilot implementations and fully operational services. Finally we will also consider public engagement with data, including the landscape of citizen science initiatives and the emergence of data science concepts and practice.
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