标题：Towards Findable, Accessible, Interoperable and Reusable (FAIR) Data Repositories: Improving a Data Repository to Behave as a FAIR Data Point | Repositórios para dados localizáveis, acessíveis, interoperáveis e reutilizáveis (FAIR): adaptando um repositório de dados para se comportar como um FAIR Data Point
其他标题：Repositórios para dados localizáveis, acessíveis, interoperáveis e
reutilizáveis (FAIR): adaptando um repositório de dados para se
comportar como um FAIR Data Point
出版社：Laboratório Interdisciplinar em Inofrmação e Conhecimento (LIINC)
其他摘要：Significant effort is required to find, make
sense and reuse research data. To tackle
this problem, the Findable, Accessible,
Reusable and Interoperable (FAIR) data
principles describe a minimal set of
requirements for data management and
stewardship, considered as the
technological basis for the European
Open Science Cloud. The FAIR data point
(FDP) leverages linked data (LD) to
expose data and metadata adhering to
the FAIR data principles, specifying a set
of standardized metadata that a data
repository should implement. Data
owners can expose datasets, and data
users can reuse datasets through RESTful
services, enabling interoperability in a web scale. Data repositories and their
underlying software only recently started
supporting LD, and their metadata are
only available as key-value pairs. An open
question in this context is how to enable
an existing data repository software to be
compliant with the FDP specification, i.e.,
how to add semantic descriptions to data
repositories to ensure the semantic
interoperability among data from
different repositories? This paper
describes a semantic proxy solution to
enable a data repository software, the
EUDAT B2share service to behave as an
FDP in a non-invasive and non-intrusive
way, enabling the semantic
interoperability through semantic
translations. Our solution describes a
methodology for metadata mapping
based on endogenous model-driven
transformations from lexicon to semantic
models. We show how metadata in keyvalue
pairs from a general-purpose
repository can be made compliant with
LD technology without changing the
repository software. The solution
validation includes functional tests of the
FDP metadata layers and a performance
analysis of the impact of the semantic
proxy on data exchange. The results
show that B2share can be compliant to
FDP specifications with a reduced impact
on the data exchange performance.
Therefore, the validation shows that the
solution is feasible and adequate to
transform a general-purpose data
repository software in an FDP.
其他关键词：FAIR Data; Data Reusability;
Data Repository Software; FAIR Data
Point.
