The FAIR Data Point: Interfaces and Tooling

Benhamed, Ousamma Mohammed; Burger, Kees; Kaliyaperumal, Rajaram; Santos, Luiz Olavo Bonino da Silva; Suchánek, Marek; Slifka, Jan; Wilkinson, Mark D.

doi:10.1162/dint_a_00161

Cited by 8 publications

(6 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[12] gives a detailed interpretations of each principle and also sheds light on possible implementation features, respectively, accompanied by examples of existing solutions. In a recent work [13], an insight into implementation details of interfaces and tools around the FAIR Data Point metadata repository is given. An important basis for this work is the FDO specification of the FAIR Digital Objects Forum [14], which is a guideline for the concept presented in this work.…”

Section: Fairmentioning

confidence: 99%

A Photovoltaic System Model Integrating FAIR Digital Objects and Ontologies

et al. 2023

View full text Add to dashboard Cite

Smart grids of the future will create and provide huge data volumes, which are subject to FAIR (Findable, Accessible, Interoperable, and Reusable) data management solutions when used within the scientific domain and for operation. FAIR Digital Objects (FDOs) provide access to (meta)data, and ontologies explicitly describe metadata as well as application data objects and domains. The present paper proposes a novel approach to integrate FAIR digital objects and ontologies as metadata models in order to support data access for energy researchers, energy research applications, operational applications and energy information systems. As the first example domain to be modeled using an ontology and to get integrated with FAIR digital objects, a photovoltaic (PV) system model is selected. For the given purpose, a discussion of existing energy ontologies shows the necessity to develop a new PV ontology. By integration of FDOs, this new PV ontology is introduced in the present paper. Furthermore, the concept of FDOs is integrated with the PV ontology in such a way that it allows for generalization. By this, the present paper contributes to a sustainable data management for smart grid operation, especially for interoperability, by using ontologies and, hence, unambiguous semantics. An information system application that visualizes the PV system, its describing data and collected sensor data, is proposed. As a proof of concept the details of the use case implementation are presented.

show abstract

Section: Fairmentioning

confidence: 99%

A Photovoltaic System Model Integrating FAIR Digital Objects and Ontologies

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Com a finalização do esforço de disponibilização dos conjuntos de dados se iniciou a preparação para a fase de pós-FAIRificação com as etapas que atenderão às atividades de Host e Access FAIRData com o uso do FairDataPoint (FDP) (Benhamed, et al, 2023). A jornada para implementação do FDP demandará esforço de customização que deverá ser avaliada em conjunto com os gestores do CKAN na Unirio.…”

Section: Considerações Finaisunclassified

Sharing Research Data From Database of the Music in 19th Century Periodicals (Mpo) Project: A Prototype Using Ckan Software

Ribeiro,

Ulhôa

2023

REV.EDICIC

View full text Add to dashboard Cite

O movimento do acesso aberto está sendo impulsionado pela iniciativa Open Science, onde, em essência, os objetos de pesquisa e resultados obtidos em investigações vão além da produção documental em C&T, pois passam a incorporar também os dados que são utilizados no desenvolvimento dessas pesquisas. A disponibilização desses dados deve ser implementada de forma a possibilitar que outras iniciativas de pesquisa possam reutilizá-los no contexto de novas investigações. Este relato explora o uso do banco de dados do projeto Música em Periódicos Oitocentistas (MPO) e apresenta o protótipo com a iniciativa de compartilhamento de dados desse projeto. O desenvolvimento do protótipo para compartilhamento seguiu as recomendações apresentadas pelos princípios FAIR (Findable, Accessible, Interoperable e Reusable), pois a adoção desses princípios promove a melhoria no compartilhamento de dados de pesquisa. A metodologia utilizada combina métodos e abordagens epistemológicas, avaliando os dados de forma qualitativa e utilizando a revisão bibliográfica para reunir os aspectos teóricos envolvidos, além da aplicação prática por meio de estudo de caso para a composição dos conjuntos de dados. Fazendo uso do processo de FAIRficação (FAIRfication process) sobre conjuntos de dados do projeto MPO, selecionados a partir do periódico A Marmota na Corte, foram definidas estruturas de recursos para elucidar o conjunto de dados (dataset) depositado no software CKAN - Comprehensive Knowledge Archive Network. Os resultados do protótipo apresentam a estrutura de dois conjuntos de dados que contém registros com descrições textuais de notícias sobre música no século XIX. Os conjuntos de dados estão publicados sob licenciamento Creative Commons Attribuition License (cc-by) e hospedados na plataforma CKAN, possibilitando que o seu conteúdo possa ser reutilizado por pesquisadores interessados na temática.

show abstract

“…al. 2023); while there has also been a recommendation of how FAIR systems should be implemented using the concept of a FAIR Data Point (Benhamed et. al.…”

Section: Is My Data Fair?mentioning

confidence: 99%

Enabling FAIR Certification for Micrometeorological Datasets

Roantree,

Savić,

Scriney

et al. 2023

Preprint

View full text Add to dashboard Cite

Abstract. The current state of weather-induced agricultural losses, water use for irrigation, the appearance of new invasive species and disease vectors, new environmental zoning of plant diseases and pests, deforestation, increased urbanization, rural-to-urban migration and increased urban energy consumption for cooling and heating, together impose a scientific demand for FAIR micrometeorological data. FAIR data and metadata should be easily discoverable by humans or machines, accessible under specific conditions or restrictions, conform to recognized formats and standards to be combined and exchanged, and licensed according to community norms, allowing users to know what kinds of reuse are permitted. However, the lack of FAIR data costs Europe a minimum of €10.2bn per year or approximately 78 % of the Horizon annual 2020 budget. If data met the FAIR principle, it would improve data discovery and access, enable re-use, enhance understanding, especially across domains, reach as many people as possible, be cited more often, and open new routes to build cooperation. To support owners of micrometeorological data to make their data FAIR, the FAIR Micromet Portal was developed within the CA20108 COST Action to guide owners through FAIR principles, in a step-by-step manner, with the ultimate goal of making large volumes of data FAIR. This paper provides a detailed discussion on how this is achieved by validating micrometeorological data stored on the FAIR Micromet Portal against the full set of FAIR metrics.

show abstract

The FAIR Data Point: Interfaces and Tooling

Cited by 8 publications

References 12 publications

A Photovoltaic System Model Integrating FAIR Digital Objects and Ontologies

A Photovoltaic System Model Integrating FAIR Digital Objects and Ontologies

Sharing Research Data From Database of the Music in 19th Century Periodicals (Mpo) Project: A Prototype Using Ckan Software

Enabling FAIR Certification for Micrometeorological Datasets

Contact Info

Product

Resources

About