sharing-data.md

Sharing data

Services for sharing and collaborating on research data

To find a research data repository for your data, you can search on the Registry of Research Data Repositories (re3data) platform and filter by country, content type, discipline, etc.

International:

• Zenodo: A general-purpose open access repository created by OpenAIRE and CERN. Integration with GitHub, allows researchers to upload files up to 50 GB.
• Figshare: Online digital repository where researchers can preserve and share their research outputs (figures, datasets, images and videos). Users can make all of their research outputs available in a citable, shareable and discoverable manner.
• EUDAT: European platform for researchers and practitioners from any research discipline to preserve, find, access, and process data in a trusted environment.
• Dryad: A general-purpose home for a wide diversity of datatypes, governed by a nonprofit membership organization. A curated resource that makes the data underlying scientific publications discoverable, freely reusable, and citable.
• The Open Science Framework: Gives free accounts for collaboration around files and other research artifacts. Each account can have up to 5 GB of files without any problem, and it remains private until you make it public.

Sweden:

• ICOS for climate data
• Bolin center climate / geodata
• NBIS for life science, sequence, omics data

Norway:

• NIRD archive is widely used by some communities
• NSD - Norwegian Center for Research Data, for any kind of data
• Dataverse.no - Dataverse network, based at University of Tromsø but open for other institutions
• ELIXIR Norway for life science, sequence, omics data

Denmark:

• opendata.dk nationwide portal
• Danish portal for sharing geographical data

Finland:

• IDA, for general data
• FSD for social data
• more information on Finnish resources for open data

Portugal:

• DMPortal - Dataverse network for any research data

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Resources for data management

• DataLad
• Data Stewardship Wizard

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Licensing of datasets and databases

• The EU has a database directive which restricts data mining on databases.
• Has a somewhat similar effect to copyright, because copyright would not apply to data mining.
• A good license also gives rights to data mine. So not a major concern.

When you can use datasets:

• The license allows
• Your country has exceptions for research
• The data doesn't come from the EU

License text, slides, images, and supporting information under a Creative Commons license, and get a DOI using Zenodo or Figshare or OSF other services.

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Licensing and machine learning/ AI

Is it data? Is it software? We need to consider the AI solution, the training data, the production data, the AI output, and AI evolutions.

How about ethics? How about liability?

• EU AI Act
• Models can be reverse-engineered and training data can be extracted
• What if the model generates an outcome that is dangerous? .cite[Thanks to E. Glerean for pointing these issues out to us]

Some resources

• RAIL initiative: "Responsible AI licenses"
• The Turing Way: Machine Learning Model Licenses
• "Expert Q&A on Artificial Intelligence (AI) Licensing"

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Further reading

• The Turing way
• Illustrations from the Turing Way book dashes
• Reproduciblity syllabus
• The reproducible research data analysis platform
• Good talks on open reproducible research can be found here.
• "FAIR is not fair enough"
• "A FAIRer future"
• "Top 10 FAIR Data & Software Things" are brief guides that can be used by the research community to understand how they can make their research (data and software) more FAIR.
• Five recommendations for fair software
• Publishing research software A MIT libraries webpage on why to publish software, where to publish software, and how to make software citable.
• Software Quality Checklist
• MolSSI Best Practice Guides
• Five recommendations for fair software
• Awesome Research Software Registries