PROJECTS

FAIR research data management: a model proposal for accelerating scientific research in the state of Rio de Janeiro

The research is contextualized in the scope of contemporary discussions on research data management, considering these data as relevant inputs for accelerating the progress of research in the State of Rio de Janeiro. It is assumed that research data needs sustainable managerial and technological infrastructures of curation so that they become findable, accessible, interoperable and thus increase their potential for reuse, that is, to be in line with FAIR Principles. These infrastructures act as an aggregating element between data researchers-generators and data researcher-users, funding agencies and scientific editors, thus constituting a fundamental tool for the acceleration of scientific development, objectively integrating with the Rio de Janeiro innovation policies. The question that arises is: how can we optimize the potential for reusing research data by promoting the acceleration of scientific and technological development and innovation in the State of Rio de Janeiro? The general objective is: to develop a data management model that can fit as a reference for the implementation of integrated actions, and thus accelerate the production of knowledge in the state. As a theoretical-conceptual basis, the FAIR principles are adopted as a form of guidance for expanding the reuse capacity of research data. The methodological approach adopted is bibliographical-documentary. Procedures to be adopted are: survey, analysis and study of the literature; then, it seeks to identify in documents the models already existing in the international scope to propose a data management model that serve as a guide for the main actors of the state's scientific-technological development to orient themselves to assume their role within of a new way of doing science. As a result, based on the proposed model, the aim is to publish articles, teaching materials, offer online and presential training for researchers, librarians and other relevant actors for the scientific and technological development of the state. 

Contributions of the Information Science and the Knowledge Organization to the curation of research digital objects

The practice of digital stewardship applied to digital research objects plays a role of notable relevance by accelerating the investigative cycle, promoting greater agility in the generation of new knowledge and technological innovations. With regard to the scientific impact, the stewardship`s orientation towards enabling the accessibility and interoperability of these artifacts, in accordance with the FAIR principles, establishes the possibility of replication and reproducibility of the investigations, as well as the validation of the research carried out. As a result, new opportunities emerge, enabling the conception of research and innovative ventures anchored in the reuse of data, methodologies, tools and codes originally conceived for different purposes. The application of FAIR principles in the stewardship of digital research objects promotes the intelligent reuse of research objects and acts as a driving force in the investigation dynamics, fostering the convergence of multiple disciplines and the maximization of creative potential in the contemporary scientific and technological context. Regarding the technological impact, in a context in which artificial intelligence assumes a prominent role as a pre-eminent tool for accessing knowledge, the need for digital curation of data and other research objects emerges, since these objects are configured as essential elements for the success of this technology. In this context, stewardship plays a central role in preserving the semantics inherent to such objects, enabling their application and reuse in a precise and adequate manner by these tools. Furthermore, within the scope of FAIR digital objects, an intrinsic need for convergence of multiple technologies emerges. This process begins with the protocols underlying the architecture of the Internet and goes through broader areas, such as object-oriented computing, semantic web, data interconnection, ontologies and the meticulous management of metadata. The project also has a significant social impact as society demands greater transparency and accountability regarding public investments. Even in the scientific sphere, despite its noble aspirations, it is not immune to the critical eye of the contributor. Additionally, a desire emerges to shed light on the internal operations of science, evidencing the desire to understand its underlying processes. The open access movement itself, which reflects this social phenomenon, expands its dimensions to encompass research data itself, promoting a significant reconfiguration in the dialogue between those who produce, finance and use academic information. This, in turn, redefines the possibilities for engendering scientific knowledge.