Data Tree

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

Data Tree is a free online course with all you need to know for research data management, along with ways to engage and share data with business, policymakers, media and the wider public.

The self-paced training course will take 15 to 20 hours to complete in eight structured modules. The course is packed with video, quizzes and real-life examples of data management, along with valuable tips from experts in data management, data sharing and science communication.

The training course materials will be available for structured learning, but also to dip into for immediate problem solving.

The course is for researchers, scientists and anyone working with data.

The course is especially aimed at postgraduates, PhD students and early career researchers who want to learn research data management skills, but it is for anyone who wants to get the right data habits now, including thinking of end-users of your data.

Modules include:
1. Data Management:  Context
2. Data Management:  Practicalities
3. Data Management: NERC
4. Data Application:  Analysis
5. Data Application:  Visualisation
6. Data & Research:  Working with Policy
7. Data & Research:  Working with Business
8. Data & Research:  Working with the Media & Public

Authoring Person(s) Name: 
Mark Thorley
Robert Darby
Cathy Garlick
Dave Mills
Jon Blower
Maria Noguer
Briony Turner
Sally Stevens
Authoring Organization(s) Name: 
Data Tree
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
English
More info about
Keywords - short phrases describing what the learning resource is about: 
Data analysis
Data ethics
Data handling
Data management
Data management planning tools
Data management stories
Data policy
Data preservation
Data quality - Core Trustworthy Data Repositories Requirements
Data storage
Data visualization
Metadata
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.
Contributor Name: 
Name: 
Vicky Lucas
Type: 
Project administration and management
Contributor Organization(s): 
Name: 
National Environmental Research Council (NERC)
Type: 
Funding and sponsorship
Name: 
Institute for Environmental Analytics
Type: 
Collaborator
Name: 
University of Reading
Type: 
Collaborator
Name: 
Oxford eResearch Centre
Type: 
Collaborator
Name: 
University of Oxford
Type: 
Collaborator
Name: 
Centre of Ecology & Hydrology (NERC)
Type: 
Collaborator
Name: 
Centre for Environmental Data Analysis (NERC)
Type: 
Collaborator
Name: 
National Centre for Earth Observation (NERC)
Type: 
Collaborator
Name: 
Science & Technology Facilities Council
Type: 
Collaborator
Name: 
Statistics for Sustainable Development (Stats4SD)
Type: 
Collaborator
Name: 
Wild INDiE
Type: 
Collaborator
Name: 
Institute of Physics
Type: 
Collaborator
Contact Organization(s): 
Data Tree
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Instruction - detailed information about aspects or processes related to data management or data skills.
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: 
Early-career research scientist
Graduate student
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 Day (but less than 1 week)