Data Management Expert Guide

This catalogue respects all FAIR guidelines and best practices. It is based on the IEEE Standard for Learning Object Metadata (IEEE 2002) that has been customised in order to be compliant with the EOSC Training Resource Profile - Data Model.

Description

This module is a best practices guide designed by European experts to help social science researchers make their research data Findable, Accessible, Interoperable and Reusable (FAIR).

You will be guided by different European experts who are - on a daily basis - busy ensuring long-term access to valuable social science datasets, available for discovery and reuse at one of the CESSDA social science data archives.

1 - General
1.1 - Identifier
8
1.2 - URL type
URI
1.3 - URL
https://www.cessda.eu/Training/Training-Resources/Library/Data-Management-Expert-Guide
1.4 - Title
Data Management Expert Guide
1.5 - Language
en
1.6 - Description
("en_US","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.")
1.7 - Keywords
data management
process
plan
archive
discover
store
publish
1.8 - Geographical availability
("en_US","2017-2019")
2 - Life Cycle
2.1 - Version
("en_US","Not available")
2.2 - Status
Final
2.3 - Contribute
2.3.1 - Role
Publisher
2.3.2 - Entity
CESSDA ERIC
2.4 - Date
2017-2019
3 - Educational
3.1 - Interactivity type
Expositive
3.2 - Learning resource type
Narrative text
3.3 - Interactivity level
Low
3.4 - Semantic density
Low
3.5 - Target group
Learner
3.6 - Context
Training
3.7 - Expertise level
Easy
3.8 - Typical learning time
15H
3.9 - Learning outcome(s)
3.10 - Access rights
CESSDA Training Working Group (2017 - 2019). CESSDA Data Management Expert Guide.
3.11 - Cost
No
3.12 - Copyright and other restrictions
No
3.13 - Conditions of use
("en_US","Creative Commons Attribution-ShareAlike 4.0 International License")
4 - Technical
4.1 - Size
Not available
4.2 - Scientific domain and subdomain
4.3 - Topic codes
G1: Introduction to FAIR principles
G5: Basic Research Data Management (RDM)
R3: Cataloguing - design & implementation
R4: Certification schemes for repositories (CoreTrustSeal)
R6: Data Management Plans
R9: Linked Data and ontologies
R10: Metadata standards & schemas (including geospatial, instruments, variables)
5 - Relation
5.1 - Kind
5.2 - Entry
Access the resource

Details

Code8
Uploaded byLucia Vaira
Available since23/01/20 17:14

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