Show/hide contentOpenClose All
Curricular information is subject to change
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 Type||Hours|
|Specified Learning Activities||
|Autonomous Student Learning||
Not applicable to this module.
|Description||Timing||Component Scale||% of Final Grade|
|Project: Tool Description/Teaching||Coursework (End of Trimester)||n/a||Graded||No||
|Project: Data Repository Analysis||Coursework (End of Trimester)||n/a||Graded||No||
|Project: Data Management Plan||Coursework (End of Trimester)||n/a||Graded||Yes||
|Remediation Type||Remediation Timing|
|In-Module Resit||Prior to relevant Programme Exam Board|
• Feedback individually to students, post-assessment
All assessments will be due at the end of the summer; feedback will be posted to Brightspace afterwards.
|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|