Suporte à gestão de dados de pesquisa: uma ampliação dos serviços oferecidos pelas bibliotecas

Abstract

Qualitative research aimed at proposing a taxonomy of services focused on the management of research data generated in universities. In addition, the research sought to synthesize difficulties, challenges and actions necessary for the viability and maintenance of these services in the institutions. The work brings, as a theoretical foundation, the research data, the eScience paradigm, big science and small science and the differences in data generation and structuring, research data management, data life cycle, data sharing and reuse, publication and citation, infrastructures, standards and policies for data, libraries and research data management, including the challenges faced for the delivery of data management support services by libraries, the practices and needs of researchers and, finally, the Research Data Management Support Services (RDMSSs). The work consisted of three steps: 1) identification of services, actions and challenges through literature; 2) identification and contextualization of services and identification of actions and challenges through interviews; and 3) data analysis. Data collection took place in stages 1 and 2. In step 1 we opted for bibliographic search in materials already published, identified from searches in databases, Google Academic and cited references. A total of 165 articles were selected. In step 2, data collection occurred through interviews. Two institutions selected from an intentional non-probability sample were interviewed. The identification of the institutions was carried out by means of web research, and after that, by sending a letter of invitation or request for information regarding the availability or participation of libraries in discussions for the development of services or infrastructure. Thus, the Federal University of Santa Catarina (UFSC) and the Federal University of Rio Grande do Sul (UFRGS) participated in the interviews. The content analysis proposed by Bardin (1977) was used as a method for the treatment and interpretation of the data collected in steps 1 (literature) and 2 (interviews). The 165 articles and the two interviews were read in full. All the material was coded and categorized with the help of NVivo software. Together, the data collected in stages 1 and 2 (literature and interviews) allowed: 1) the systematization and proposition of a service taxonomy structure in three main categories (Infrastructure, Support and Education) that are subdivided into the subcategories 'Management and data curation' and 'Others'. These two subcategories have additional subdivisions that are replicated for each of the main categories. The services categorized as Support were the most frequent in the 167 documents (165 articles and two interviews) used to construct the taxonomy. Next are the services of the Educational category and, finally, the services of the Infrastructure category. The two most present categories - Support and Education - mainly comprise reference, instruction and guidance services, representing an extension of the traditional services already provided by libraries, now with a focus on research data; 2) the identification and compilation of the research data management support services offered; 3) the exposure of the challenges and difficulties faced by the interviewed institutions; and 4) the synthesis of the general actions for the viability and maintenance of services in the institutions. Step 2 (data collection through interviews) also allowed for a: 5) contextualization of the efforts for the development of RDMSSs in the interviewed institutions. We considered that the research met the proposed objectives of identifying services, actions, difficulties and challenges; contextualizing the offer of services and infrastructure in the interviewed universities; systematizing and proposing a taxonomy of services; synthesizing the difficulties and challenges; and synthesizing the actions to facilitate and maintain services in the institutions.