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FairDataBR: a tool for datasets evaluation

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The FairDataBR extended version (FairDataBR+) expands the FAIR standard by adding into the assessment tool elements related to the findability concept (MORVILLE, 2005).

The tool FairDataBR, aimed to evaluate data sets, was written from the perception of the need to develop a software application that contributed to the automation process of verifying the adherence of data sets to the FAIR Principles. The tool was designed by researchers from the Federal University of Paraíba (PPGCI / MPGOA - UFPB) and it is characterized by being simple and intuitive to use.

The FAIR principles idea emerged from the work of a diversified group of people who saw the immediate need to improve the infrastructure to support the sharing of research data and its subsequent reuse. Thus, based on these premises, a set of principles was developed to serve as guidelines for all who wish to share and enhance the reuse of research data (WILKINSON et al., 2016).

PRINCÍPIOS FAIR

The FAIR Principles are an acronym for Findable, Accessible, Interoperable and Reusable. On the pioneer publication of a scientific paper on these principles, Wilkinson et al. (2016) stated that to research data be under these principles, they must follow the following guidelines:

To be
Findable:
  1. F1. (Meta)data are assigned a globally unique and persistent identifier.
  2. F2. Data are described with rich metadata (defined by R1 below).
  3. F3. metadata clearly and explicitly include the identifier of the data it describes.
  4. F4. (Meta)data are registered or indexed in a searchable resource.
To be
Accessible:
  1. A1. (Meta)data are retrievable by their identifier using a standardized communications protocol.
    1. A1.1. The protocol is open, free, and universally implementable.
    2. A1.2. the protocol allows for an authentication and authorization procedure, where necessary.
  2. A2. metadata are accessible, even when the data are no longer available.
To be
Interoperable:
  1. I1. (Meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation.
  2. I2. (Meta)data use vocabularies that follow FAIR principles.
  3. I3. (Meta)data include qualified references to other (meta)data.
To be
Reusable:
  1. R1. meta(data) are richly described with a plurality of accurate and relevant attributes.
    1. R1.1. (Meta)data are released with a clear and accessible data usage license.
    2. R1.2. (Meta)data are associated with detailed provenance.
    3. R1.3. (Meta)data meet domain-relevant community standards.

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Avaliação Fair
FINDABLE PRINCIPLE
F1. Do (meta)data have a unique, global and persistent identifier? 1 2 3 4 5 6 *
F2. Are data described with rich metadata?1 3 4 5 *
F5. Are (meta)data published in a repository? 1 2 *
F6. Are there social organization schemes that are associated with semantic technologies? *
F7. Are tag clouds generated? *
F8. Are there (meta)data Discovery capabilities (e.g., autocomplete) not fetched in first instance? *
ACCESSIBLE PRINCIPLE
A2. Are the (meta)data available without the need for intermediation of specialized protocols or tools from the moment access is allowed?2*
A5. Is the protocol (e.g.: HTTP, SAML, OAI-PMH) open, free and universally implementable?1 6 *
A6. Are there metadata/information that enable contact between the users and the data set holders *
INTEROPERABLE PRINCIPLE
I1. Are (meta)data sets available in preferred formats?1 2 4 5 *
I2. Are data sets structured from a metadata schema or community-approved data models?1 5*
REUSABLE PRINCIPLE
R1. Are the (meta)data sets licensed?1 2 4 5 6*
R2. Which is the user license granted to the (meta)data sets? 1 2 4 *
R3. Do data sets/metadata comply with your country’s National Data Protection Act *
R5. Are (meta)data associated with detailed provenance?1 5 6 *
R6. Does (meta)data meet domain-relevant community standards? 1 4 6

0

FINDABLE

0

ACCESSIBLE

0

INTEROPERABLE

0

REUSABLE

0