Connecting eScience to Information Science scientific : scientific big metadata and its functionalities

• Autor(a) principal: Marques, Luana Farias Sales
• Data de Publicação: 2023
• Outros Autores: Sayão, Luís Fernando
• Tipo de documento: Artigo
• Idioma: por; eng
• Título da fonte: Revista Digital de Biblioteconomia e Ciência da Informação
• Texto Completo: https://periodicos.sbu.unicamp.br/ojs/index.php/rdbci/article/view/8673740
• topic: Big metadata; Research data; Metadata management; Metadata functions; eScience; Big metadado; Dados científicos; Gestão de metadados; Funcionalidade de metadados; eScience

Introduction: In the eScience environment, digital research objects are characterized by having a complex and long-life cycle, which depends on different disciplinary contexts and perspectives of (re)use. This lifecycle starts before the start of research and extends beyond the end of the project, along this journey, various types of metadata are added to objects, assigned by different actors, including those generated automatically by scientific instruments and workflow tools, in a continuous process of adding value to datasets and other research objects. In this context, digital research objects are accompanied by a wide range of metadata - with many functions and properties - that often surpass the data themselves in volume and even in importance, configuring a “scientific big metadata” that is difficult to organize and manage. Objective: Systematically present the functions of new metadata to support metadata management and the construction of disciplinary schemes. Methodology: Underlying the construction of the proposal, four axes provide methodological support to the study: historical, pragmatic, standardization, and epistemological. Result: As a result, a model is proposed for schematizing the various elements of metadata based on their functionalities, based on the assumption of the connection between eScience and Information Science established by big metadata. Conclusion: It is concluded that big metadata creates a connection between eScience and CI, and that in addition to the need to curate research objects, specific FAIR management of metadata is also necessary.