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WHAT IS DATA TREE?


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.

WHO IS IT FOR?


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.

Data Tree is funded by the Natural Environment Research Council (NERC) through the National Productivity Investment Fund (NPIF), delivered by the Institute for Environmental Analytics and Stats4SD and supported by the Institute of Physics.

START LEARNING


Learn good research data management skills right now and make your research more accessible and usable by end users, peers and future researchers.

Sign up today to get access to all eight modules.

An electronic certificate is provided for completion of each module. For completion of all eight modules there is a special prize.

Click here to see available modules

Unless otherwise stated, all Data Tree materials are presented with a Creative Commons CC-BY-SA-4.0 Licence. For more information on re-using Data Tree content, please contact us.

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Latest updates

Meet the Expert - Part 8

Meet Briony Turner, Climate Services Development Manager for Space4Climate and the IEA...

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Think Big! How much data will the biggest and longest expedition to the Arctic produce?

In September 2019 the German research icebreaker Polarstern will depart from Tromsø, Norway, for the international project MOSAiC...

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Data Tree Launch

Data Tree: new course encourage PhD students to turn over a new leaf...

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Meet the Expert - Part 7

This week's content expert is Research Project Manager, Mark Thorley...

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Getting into the habit... A PhD student’s perspective on data management

In this blog PhD student Annemarie Hildegard Eckes gives her perspective on data management...

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Meet the Experts - Part 6

Next up in our 'meet the experts' series is Dave Mills, Data Engineer at Statistics for Sustainable Development...

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Meet the Expert - Part 5

Next up in our “meet the expert” series is Maria Noguer, Climate Programme Manager...

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Data Tree Face2Face Workshops - Book Now

Data Tree has announced that five regional live workshops will give PhD students and early career researchers a face to face taste of the exciting new online data training course and the chance to meet the experts sharing their data knowledge....

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Meet the Experts - Part 4

This week's content expert is Vicky Lucas, Data Tree's project leader...

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Meet the Experts - Part 3

Our next content expert is Jon Blower, data technician and software engineer...

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Meet the Experts - Part 2

Next up in our “meet the experts” series is Sally Stevens, journalist, science communicator, trainer and writer...

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Meet the Experts - Part 1

Our new “meet the experts” series introduces you to the specialists who are developing Data Tree and reveals their top tips...

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Data Tree - Roots and Branches

Sleet threatens, the trees are bare but the work continues on Data Tree. All eight modules are now in development. All contributors met last week...

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C8 Consulting Joins the Datatree Teams

The UK’s premier PR and marketing agency, C8 Consulting has been selected to provide marketing support for the Data Tree course...

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Data Tree - Taking Root

From filming locations to animations, content for the new online data management training course – Data Tree – is already taking root...

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Unless otherwise stated, all Data Tree materials are presented with a Creative Commons CC-BY-SA-4.0 Licence. For more information on re-using Data Tree content, please contact us.

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