MANTRA Research Data Management Training

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

MANTRA is a free, online non-assessed course with guidelines to help you understand and reflect on how to manage the digital data you collect throughout your research. It has been crafted for the use of post-graduate students, early career researchers, and also information professionals. It is freely available on the web for anyone to explore on their own.

Through a series of interactive online units you will learn about terminology, key concepts, and best practice in research data management.

There are eight online units in this course and one set of offline (downloadable) data handling tutorials that will help you:

Understand the nature of research data in a variety of disciplinary settings
Create a data management plan and apply it from the start to the finish of your research project
Name, organise, and version your data files effectively
Gain familiarity with different kinds of data formats and know how and when to transform your data
Document your data well for yourself and others, learn about metadata standards and cite data properly
Know how to store and transport your data safely and securely (backup and encryption)
Understand legal and ethical requirements for managing data about human subjects; manage intellectual property rights
Understand the benefits of sharing, preserving and licensing data for re-use
Improve your data handling skills in one of four software environments: R, SPSS, NVivo, or ArcGIS

Authoring Organization(s) Name: 
EDINA - University of Edinburgh
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons Attribution 4.0 International - CC BY 4.0
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
More info about
Keywords - short phrases describing what the learning resource is about: 
Copyright of data
Data citation
Data formats
Data handling
Data management planning
Data preservation
Data sharing
Data storage
Data use restrictions
Licenses - Core Trustworthy Data Repositories Requirements
Metadata standards
Organizing data
Security - Core Trustworthy Data Repositories Requirements
Published / Broadcast: 
Sunday, October 1, 2017
Publisher - organization credited with publishing or broadcasting the learning resource: 
EDINA - University of Edinburgh
Version - revision or edition number or date associated with a learning resource: 
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Collection - a group or set of items that comprise a single learning resource, e.g., a PDF version of a slide presentation, an audio file of the presentation and a textual representation of the oral transcription of the presentation.
Contact Organization(s): 
Data Library Staff Information Services, University of Edinburgh
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Professional Development - increasing knowledge and capabilities related to managing the data produced, used or re-used, curated and/or archived.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Course - series of units and lessons used to teach the skills and knowledge required by its curriculum.
Target Audience - intended audience for which the learning resource was created: 
Data professional
Early-career research scientist
Graduate student
Mid-career research scientist
Research faculty
Research scientist
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 Week
Framework - A community-based organization plan or set of steps for education or training: 
FAIR Data Principles
Framework Node: FAIR: