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FairDataBR: a tool for datasets evaluation

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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).

FAIR PRINCIPLES

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.

To continue the assessment, read the QRCode.

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 *
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 *
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 *
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