IS40650 Research Data Manangement

Academic Year 2019/2020

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.

The 5 Credit version of this module meets at the same time as the 10 credit module. It will be an intensive module that will meet over 4 days in June.

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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
Specified Learning Activities


Autonomous Student Learning






Approaches to Teaching and Learning:
Module will be run as an intensive for 4 days the first week of June. Class will include lecture, guest lectures, and in-class exercises. 
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
Continuous Assessment: Reading responses and answers to questions Varies over the Trimester n/a Graded No


Project: Data management plan Varies over the Trimester n/a Graded Yes


Project: Data repository analysis Varies over the Trimester n/a Graded No


Carry forward of passed components
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 turned in at the end of the summer term; feedback will be provided online in the VLE.