FAIR Data and Software - Summary

Key Info
URL - the landing page for the learning resource: 
https://av.tib.eu/media/37828
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

This presentation Summary of FAIR Data and Software  is one of 9 webinars on topics related to FAIR Data and Software that was offered at a Carpentries-based Workshop in Hannover, Germany, Jul 9-13 2018.  Presentation slides are also available in addition to the recorded presentation.
 
Other topics included in the series include:
- Introduction, FAIR Principles and Management Plans
-Findability of Research Data and Software Through PIDs and FAIR Repositories
- Accessibility through Git, Python Functions and Their Documentation
- Interoperability through Python Modules, Unit-Testing and Continuous Integration
- Reusability Through Community-Standards, Tidy Data Formats and R Functions, Their Documentation, Packaging and Unit-Testing
- Reusability: Data Licensing
- Reusability: Software Licensing
- Reusability:  Software Publication

URL locations for the other modules in the webinar can be found at the URL above.

Authoring Person(s) Name: 
Angelina Kraft
Katrin Leinweber
Authoring Organization(s) Name: 
Technische Informationsbibliothek (TIB) AV-Portal
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons Attribution 3.0 Germany - CC BY 3.0 DE
Access Cost: 
No fee
Citation - format of the preferred citation for the learning resource: 
Angelina, Kraft; Leinweber, Katrin: FAIR Data and Software - Summary, episode 9, Carpentries-based Workshop "FAIR Data and Software", July 9 - 13, 2018 in Hannover. https://doi.org/10.5446/37828
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: 
Accessible data - FAIR Data Principle
Cyberinfrastructure to enable FAIR data principles
Findable data - FAIR Data Principle
Interoperable data - FAIR Data Principle
Re-usable data - FAIR Data Principle
Published / Broadcast: 
Monday, July 9, 2018
ID - identifier that provides the means to locate the learning resource or its citation: 
10.5446/37828
Type - namespace prefix for the citable locator, if any: 
DOI
Publisher - organization credited with publishing or broadcasting the learning resource: 
Technische Informationsbibliothek (TIB) AV-Portal
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Presentation - representation of the particular way in which an author shows, describes or explains one or more concepts, e.g., a set of Powerpoint slides.
Contributor Organization(s): 
Name: 
Carpentries
Type: 
Collaborator
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: 
Lesson - detailed description of an element of instruction in a course, [could be] contained in a unit of one or more lessons, and used by a teacher to guide class instruction. Example: presentation slides on a topic.
Target Audience - intended audience for which the learning resource was created: 
Data manager
Data policymaker
Data professional
Data supporter
Early-career research scientist
Librarian
Repository manager
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
Up to 1 hour
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