This document summarizes a DARIAH Annual Event in Warsaw on May 15th, 2019. It discusses making research data FAIR (Findable, Accessible, Interoperable, Re-usable) and some of the challenges of doing so for humanities data. The document also outlines the purpose and topics of an open report being developed to provide recommendations for humanities researchers on steps to take to make their data FAIR, including identifying data, using data management plans, dealing with formats, metadata, licenses, and other legal and technical issues. It encourages contributions to the open consultation document.

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1. Open Science and FAIR
2. Structure/purpose of the report–in-progress
3. Topics/recommendations in the report
Background
4. Open consultation process

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Open Science/Research/Scholarship
Publications | Research Process | Data
• Openness & transparency
• Increased exposure, usage, impact
• Efficiency
• ROI
• Research Integrity
• Reproducibility
• Acceleration
Better science &
Better public value

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Source: Foster Open Science

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 Making data FAIR takes a significant investment of resources,
and requires support & training
 FAIR is part of a larger ecosystem – cannot work on its own
 Cultural change required
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 Implementation has to be driven by
disciplines
 Rewards, incentives, resources need to keep
pace
 ‘Data’ and ‘technology’ are just one aspect
 People are key

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Purpose of report
 To provide recommendations for humanities
researchers on steps to take in making data FAIR
 To build these recommendations collectively
 To identify current challenges and propose first steps
◦ Complexity of humanities data
◦ Unique challenges (e.g. copyright)
◦ Audience: researchers, institutional admin, funders
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 Why Open Science?
 Identifying data
 Planning the
management: DMPs
 Data Formats
 Data Models
 Metadata
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 Licences for reuse
 Legal considerations
 Long term preservation
 Dissemination of data
 Dealing with Legacy data
Format
Introduction
Recommendations
Further reading/resources

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 Visit the open Google doc: http://bit.ly/ALLEADH
 All instructions are contained there
 Make comments and edits directly in the doc
 Please sign into your Google account first
 Particularly interested in use cases
 Deadline: 15th July 2019
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Topics
1. Identify: what is research data
2. Plan: Data Management Plan
3. Collect produce structure, store: Formats and Data Models
4. Deposit and share: licences
5. Legal aspects
6. Repositories and PIDs
7. Dissemination
PLEASE CONTRIBUTE TO NOTES: bit.ly/ALLEADARIAH
LINK TO OPEN CONSULTATION: bit.ly/ALLEADH
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