Comunicação da Ciência em Portugal: o caso da Gestão e Curadoria da Informação

A comunicação da ciência permite ligar o conhecimento científico e a sociedade. A sua importância vem crescendo e tem sido demonstrada através do seu estabelecimento como uma disciplina própria, assim como, no aumento de pesquisas direcionadas ao tema. Contudo, ainda existem áreas a ser exploradas, nomeadamente a comunicação da gestão e curadoria da informação. Este estudo tem por objetivo compreender como é feita a comunicação de ciência do mestrado em gestão e curadoria da informação. Procuramos igualmente traçar algumas estratégias de comunicação da ciência por meio da expertise adquirida através da revisão de literatura e do conhecimento da gestão e curadoria da informação. Visando melhor analisar e atestar o nosso estudo, formulamos algumas hipóteses que serão pontos de partidas para a observação e análise do tema as quais são: a comunicação do mestrado em gestão e curadoria da informação é direcionada a públicos diversos, através de canais tradicionais e modernos; a comunicação do mestrado em gestão e curadoria da informação é interdisciplinar; as estratégias de comunicação da ciência melhoram a comunicação do mestrado em gestão e curadoria da informação. O método qualitativo de caráter exploratório foi utilizado visando, por um lado, familiarizarmos com o tema dentro desta problemática e por outro, atingirmos os objetivos através da utilização dos instrumentos de pesquisa documental. Algumas das principais conclusões desta investigação versam sobre a diversidade de públicos e de canais utilizados para a comunicação do mestrado em GCI. Efetivamente o mestrado em GCI, apesar de recente, vem comunicando ciência para a “comunidade académica”, mas também para um “público atento”, “tomadores de decisão” e, em menor escala a “mediadores”. Essa comunicação não está restrita à um único modelo de comunicação da ciência, mas utiliza o modelo do défice e a participação. Um dos principais objetivos das comunicações é a disseminação e divulgação do mestrado, da profissão e do profissional de GCI.Science communication makes it possible to connect scientific knowledge and society. Its importance has been growing and has been demonstrated through its founding as a discipline, as well as the increase of directed research on the subject. However, there are still areas to be explored, namely communication of information management and curation (GCI). This study aims to understand how the science communication of the master in information management and curation occurs. We also sought to outline some science communication strategies through the expertise acquired through literature review and knowledge of information management and curation.Aiming to better analyze and attest our study, we formulated some hypotheses that will be starting points for the observation and analysis of the theme, which are: the communication of the master's degree in information management and curation is directed to different audiences, through traditional and modern channels; the communication of the master's degree in information management and curation is interdisciplinary; science communication strategies improve the communication of the master's degree in information management and curation. The exploratory qualitative method was used aiming, on the one hand, to familiarize us with the theme within this issue and, on the other, to achieve the objectives using documentary research instruments. Some of the main conclusions of this investigation are about the diversity of audiences and channels used for the communication of the master's degree in GCI. The master's degree in GCI, despite being recent, has been communicating science to the 'academic community', but also an 'attentive public', 'decision makers' and, to a lesser extent, to 'mediators'. This communication is not restricted to a single science communication model but uses the deficit and participation model. One of the main objectives of communications is the dissemination and dissemination of the Master's course, the profession, and the GCI professional

Model driven validation approach for enterprise architecture and motivation extensions

As the endorsement of Enterprise Architecture (EA) modelling continues to grow in diversity and complexity, management of its schema, artefacts, semantics and relationships has become an important business concern. To maintain agility and flexibility within competitive markets, organizations have also been compelled to explore ways of adjusting proactively to innovations, changes and complex events also by use of EA concepts to model business processes and strategies. Thus the need to ensure appropriate validation of EA taxonomies has been considered severally as an essential requirement for these processes in order to exert business motivation; relate information systems to technological infrastructure. However, since many taxonomies deployed today use widespread and disparate modelling methodologies, the possibility to adopt a generic validation approach remains a challenge. The proliferation of EA methodologies and perspectives has also led to intricacies in the formalization and validation of EA constructs as models often times have variant schematic interpretations. Thus, disparate implementations and inconsistent simulation of alignment between business architectures and heterogeneous application systems is common within the EA domain (Jonkers et al., 2003). In this research, the Model Driven Validation Approach (MDVA) is introduced. MDVA allows modelling of EA with validation attributes, formalization of the validation concepts and transformation of model artefacts to ontologies. The transformation simplifies querying based on motivation and constraints. As the extended methodology is grounded on the semiotics of existing tools, validation is executed using ubiquitous query language. The major contributions of this work are the extension of a metamodel of Business Layer of an EAF with Validation Element and the development of EAF model to ontology transformation Approach. With this innovation, domain-driven design and object-oriented analysis concepts are applied to achieve EAF model’s validation using ontology querying methodology. Additionally, the MDVA facilitates the traceability of EA artefacts using ontology graph patterns