Fair principles and interoperability: reproducibility with ontology-driven conceptual modelling

• Autor(a) principal: Ribeiro, Cláudio José Silva
• Data de Publicação: 2020
• Outros Autores: Santos, Luiz Olavo Bonino da Silva, Moreira, João Luiz Rebelo
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Informação & Informação
• Texto Completo: https://ojs.uel.br/revistas/uel/index.php/informacao/article/view/41874
• topic: Reproducibility; FAIR; Interoperability; Conceptual model; Representation; Reproducibilidad; FAIR; Interoperabilidad; Modelado conceptual; Representación; Reprodutibilidade; FAIR; Interoperabilidade; Modelo Conceitual; Representação

Introduction: conceptual models can be used as reference artifacts to help researchers understand some knowledge domains. These artifacts help us minimize the semantic distance between how we represent and interpret information. Taking into account that data should be shared among Science and Technology institutions, as well as the reproducibility crisis, this report aims at investigating existing models and formalisms to represent in GLAM (Galleries, Libraries, Archives and Museums). Objective: our intent is to establish a list of standards used such as vocabularies, conceptual models and ontologies toward to convergence of representation research information assets. Methodology: blending methods and epistemological approaches, this position paper has collected some standards for information representation in order to align these artifacts so that they can better represent information assets. Results: this paper presents a set of identified instruments thar are also categorized according to their applicability, by using a semantic model approach. Conclusions: this report focuses on aligning the standards in order to reduce them and make them work together with conceptual models in order to allow interoperability and use of FAIR principles