Table 2 Evaluation criteria, based on Austian et al.35 and Wilkinson et al.14.

From: Making Mathematical Research Data FAIR: Pathways to Improved Data Sharing

Category

Sub-category

Options

Infrastructure

systems

Dataverse Figshare MediaWiki Proprietary Open-Source (other)

Cost

Free Free to access, but contribution needed for deposit

Size

Size of repository (number of datasets)

Preservation

Redundancy

None Multiple redundant copies Geographically distributed redundant copies

Persistent identifiers

No ID DOI other persistent ID non-persistent ID

Persistent data deposit

None Long term data preservation

Security /

Security

None Authentication mechanism

Privacy

Privacy

None Distinction between public and private data

Archiving

Author identifier

None zbMATH Open Author ID ORCID ID SCOPUS ID Other

Publication identifier

None zbMATH Open Document ID Reference to paper through DOI Other reference

Time stamping

None Timestamp upon upload Timestamp for every version

Submission

Data types

No restriction Restrictions to specific types

Data size

No restriction Restricted to maximal size

Metadata

No metadata necessary Controlled Language Readme file

Review/Data Quality

None Submissions are reviewed and approved for metadata and compliance

Access / Sharing

Online access

Data available for free and open download User registration needed

API

None API for search available API for search and submission available

License

CC0 Creative Commons License Other license (open) Other license (restrictive)

Policy

Mandate

No Yes (Info about: Under what authority does the repository operate (e.g. government)?)

Data Ownership

No Yes (Info about: Who owns the ingested data?)

Data Licensing

No Yes (Info about: How are the data licensed?)

Preservation

No Yes (Info about: What is the practice for long-term preservation?)

Succession plan

No Yes (Info about: What actions will be taken if the repository is closed?)

FAIR Principles

Findability

No Yes (Means: The data can be discovered by both humans and machines, for instance by exposing metadata and keywords to search engines)

Accessibility

No Yes (Means: The (meta-)data is archived in long-term storage and can be made available using standard technical procedures)

Interoperability

No Yes (Means: The data can be exchanged and used across different applications and systems)

Reusability

No Yes (Means: The data is well documented and licensing information is provided