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  • Natural language search
  • Ranking basic on different characteristics
    • Does it support my (identifier, metadata, etc)
    • Is it trusted (sustainability/certification). How long is the commitment?
    • Repository "impact factor"
    • Additional value adds (curatorial, linked)
    • Specialized vs geneal

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Use cases

Who are the users?

Researchers with data and they don't know where to put it, for various reasons.

UserSituation
No community repositoryThe researcher is in a community without a repository
Doesn't fit neatlyA researcher is becoming interdisciplinary, moving to a new discpline, or has data they think might be useful for other disciplines
Novice/lazyNew research not aware of existing resources (note, most advice would come from social media, conferences, training)

What are their motivations?

  • Responding to request from funding agency. Might need different characteristics (needs DOI, linking etc)
  • Has very large data (university can't handle it, domain repos can't handle it)
  • Has specific availability requirements (5 years, 10 years)
  • Is really complicated (has a lot of contextual information, does the service support it)
  • Sharing – not responding to regulatory requirement – just wants to make things available for reuse

 

Reviewing the above publisher lists and registries, we can identify factors in the recommendation of repositories to researchers:

FactorDescription
Funding agency approvalFunding agencies (e.g. NIH) have lists of approved repositories
Researcher communitiesSome repositories restrict to researchers in certain communities
Publisher integrationPublishers (e.g., Elsevier) have arrangements with repositories (e.g., bi-directional linking)
Domain/FieldRepositories are often restricted by domain, with some generalist services
Technical restrictionsRepositories have technical restrictions (e.g., maximum file size, supported formats)
Community mandatesSome research communities have mandated repositories (see Nature list)
Data type

Some repositories are restricted to specific types of data. These criteria vary, for example:

    • Protein structures
    • Human or non-human derived
    • Phenotypes

Data types are often directly related to domain/field of study.

Metadata formatSome repositories are restricted to specific types of metadata (e.g., MIAME)
LicensingFree and unrestricted use or public domain (PLOS)
Best practicesRepository adhere's to best practices pertaining to responsible data sharing, digital preservation, citation, and openness (PLOS)

 

Publishers, funding agencies, and libraries construct these lists of approved repositories to meet the needs of researchers, Many of these sites now link to centralized services, such as re3data.org. However, re3data.org does not capture all of the information needed to make a recommendation (e.g., C3PR technical restrictions).

Use cases

Who are the users?

Researchers with data and they don't know where to put it, for various reasons.

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What are their motivations?

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Draft Questions for service providers?

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