IS40760 Research Data Management

Academic Year 2021/2022

Increasingly, data are viewed as products to be managed, shared, and reused. Managing data is a complex process and involves technology, knowledge organisation, information policy, and knowledge of the research process.
This module will survey practices, services, technologies, and policy involved in managing research data; data management practices; national and international data policy; and the role and nature of data in diverse disciplines and institutions. The module is intended for postgraduate students and professionals in information studies or in any domain that requires the management of research data.

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Curricular information is subject to change

Learning Outcomes:

1) Students will learn to distinguish among many forms of data and factors that influence their management over time.
2) Students will learn professional criteria for managing, selecting, and appraising digital data.
3) Students will be able to identify the role of different stakeholders (funders, repositories, libraries, depositors) in managing data.
4) Students will learn to use and assess data collections, repositories, and services for their suitable for particular disciplines and research approaches.
5) Students will gain basic technical skills in managing data in specific research settings.
6) Students will develop knowledge about the role of data management plans and creating them.
7) Students will be introduced to relevant policies and international initiatives related to data management, open data/open science, and data sharing.

Student Effort Hours: 
Student Effort Type Hours
Lectures

24

Specified Learning Activities

26

Autonomous Student Learning

75

Total

125

Approaches to Teaching and Learning:
Module is offered asynchronously and fully online. 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Project: Tool Description/Teaching Coursework (End of Trimester) n/a Graded No

25

Project: Data Repository Analysis Coursework (End of Trimester) n/a Graded No

25

Project: Data Management Plan Coursework (End of Trimester) n/a Graded Yes

50


Carry forward of passed components
Yes
 
Remediation Type Remediation Timing
In-Module Resit Prior to relevant Programme Exam Board
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

All assessments will be due at the end of the summer; feedback will be posted to Brightspace afterwards.

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
 
Spring
     
Lecture Offering 1 Week(s) - 26 Mon 10:00 - 15:50
Lecture Offering 1 Week(s) - 26 Thurs 10:00 - 15:50
Lecture Offering 1 Week(s) - 26 Tues 10:00 - 15:50
Lecture Offering 1 Week(s) - 26 Wed 10:00 - 15:50
Spring