Data Management Expert Guide

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

This guide is written for social science researchers who are in an early stage of practising research data management. With this guide, CESSDA wants to contribute to professionalism in data management and increase the value of research data.

If you follow the guide, you will travel through the research data lifecycle from planning, organising, documenting, processing, storing and protecting your data to sharing and publishing them. Taking the whole roundtrip will take you approximately 15 hours, however you can also hop on and off at any time.

Authoring Person(s) Name: 
Ulf Jakobsson
Ricarda Braukmann
Malin Lundgren
Katja Fält
Johana Chylikova
Jindrich Krejčí
Jonas Recker
Libby Bishop
Scott Summers
Sonja Bezjak
Irena Vipavc Brvar
Authoring Organization(s) Name: 
Consortium of European Social Science Data Archives (CESSDA SaW)
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
More info about
Keywords - short phrases describing what the learning resource is about: 
Data archiving
Data backup
Data handling
Data management
Data management planning
Data management planning tools
Data preservation
Data publication
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Social and Behavioral Sciences
Created: 
Sunday, January 1, 2017
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): 
Ulf Jakobsson
Ricarda Braukmann
Malin Lundgren
Katja Fält
Johana Chylikova
Jindrich Krejčí
Jonas Recker
Libby Bishop
Scott Summers
Sonja Bezjak
Irena Vipavc Brvar
Contact Organization(s): 
Consortium of European Social Science Data Archives (CESSDA SaW)
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: 
Learning Activity - guided or unguided activity engaged in by a learner to acquire skills, concepts, or knowledge that may or may not be defined by a lesson. Examples: data exercises, data recipes.
Target Audience - intended audience for which the learning resource was created: 
Data policymaker
Research scientist
Mid-career research scientist
Early-career research scientist
Data manager
Repository manager
Data professional
Publisher
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)
Framework - A community-based organization plan or set of steps for education or training: 
FAIR Data Principles
Framework Node: FAIR: 
Accessible
Findable
Interoperable
Re-usable