LEARN - Research Data Management Toolkit

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

For research performing organisations, this deluge of data presents many challenges in areas such as policy and skills development, training, costs and governance. To help address these issues, LEARN published  its Toolkit of Best Practice for Research Data Management.

The Toolkit expands on the issues outlined in the LERU Roadmap for Research Data (2013). It is nearly 200 pages long, and includes:

  • 23 Best-Practice Case Studies from institutions around the world, drawn from issues in the original LERU Roadmap;
  • 8 Main Sections, on topics such as Policy and Leadership, Open Data, Advocacy and Costs;
  • One Model RDM Policy, produced by the University of Vienna and accompanied by guidance and an overview of 20 RDMpolicies across Europe;

An Executive Briefing in six languages, aimed at senior institutional decision makers.

Authoring Person(s) Name: 
David Carr
Paolo Budroni
Barbara Sánchez Solís
Myriam Fellous-Sigrist
Gabriela Andaur
Wouter Schallier
Marsha Winter
Shamin Renwick
Alastair Dunning
James Bulley
Andrew Gray
Geoffrey Boulton
Davor Orlic
Nicolás Fuertes
María Alejandra Galeano
James A J Wilson
Alexandre Faria De Oliveria
Miguel Ángel Márdero Arellano
Robin Rice
David Fergusson
June Hedges
Myriam Fellous-Sigrist
Yuri Demchenko
Fernando-Ariel López
Ignasi Labastida
Paul Ayris
Authoring Organization(s) Name: 
LEARN Project (Leaders Activating Research Networks)
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: 
English
Also available in - other languages in which the learning resource has been translated or made available other than the primary: 
French
German
Italian
Portuguese, International
Spanish
More info about
Keywords - short phrases describing what the learning resource is about: 
Data access
Data management
Data management planning
Open data
Published / Broadcast: 
Tuesday, April 4, 2017
Created: 
Tuesday, April 4, 2017
Publisher - organization credited with publishing or broadcasting the learning resource: 
LEARN Project (Leaders Activating Research Networks)
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Text - an explanation of a concept or a story using human readable characters formed into words, usually distinguished from graphical images.
Contact Person(s): 
David Carr
Paolo Budroni
Barbara Sánchez Solís
Myriam Fellous-Sigrist
Gabriela Andaur
Wouter Schallier
Marsha Winter
Shamin Renwick
Alastair Dunning
James Bulley
Andrew Gray
Geoffrey Boulton
Davor Orlic
Nicolás Fuertes
María Alejandra Galeano
James A J Wilson
Alexandre Faria De Oliveria
Miguel Ángel Márdero Arellano
Robin Rice
David Fergusson
June Hedges
Myriam Fellous-Sigrist
Yuri Demchenko
Fernando-Ariel López
Ignasi Labastida
Paul Ayris
Contact Organization(s): 
LEARN Project (Leaders Activating Research Networks)
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: 
Text - body of a printed work, to include reading passages.
Target Audience - intended audience for which the learning resource was created: 
Data manager
Data policymaker
Data professional
Data supporter
Early-career research scientist
Educator
Graduate student
Librarian
Mid-career research scientist
Repository manager
Research faculty
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 hour (but less than 1 day)