PurposeThis article explores citing and referencing systems in social sciences and medicine articles from different theoretical and practical perspectives, considering bibliographic references as a facet of descriptive representation.Design/methodology/approachThe analysis of citing and referencing elements (i.e. bibliographic references, mentions, quotations and respective in-text reference pointers) identified citing and referencing habits within disciplines under consideration and errors occurring over the long term as stated by previous studies now expanded. Future expected trends of information retrieval from bibliographic metadata was gathered by approaching these referencing elements from the Functional Requirements for Bibliographic Records (FRBR) entities concepts.FindingsReference styles do not fully accomplish with their role of guiding authors and publishers on providing concise and well-structured bibliographic metadata within bibliographic references. Trends on representative description revision suggest a predicted distancing on the ways information is approached by bibliographic references and bibliographic catalogs adopting FRBR concepts, including the description levels adopted by each of them under the perspective of the FRBR entities concept.Research limitations/implicationsThis study was based on a subset of medicine and social sciences articles published in 2019 and, therefore, it may not be taken as a final and broad coverage. Future studies expanding these approaches to other disciplines and chronological periods are encouraged.Originality/valueBy approaching citing and referencing issues as descriptive representation's facets, findings on this study may encourage further studies that will support information science and computer science on providing tools to become bibliographic metadata description simpler, better structured and more efficient facing the revision of descriptive representation actually in progress.
A inovação como processo é atualmente um dos grandes pilares para que organizações e países possam manter sua sustentabilidade num cenário globalizado de acirrada competição. Uma organização pode desfrutar do resultado de uma inovação por anos, talvez até décadas, considerando que as inovações são capazes de gerar vantagens competitivas, a médio e longo prazo. No Brasil, o poder público ainda é o principal incentivador e financiador de ações de inovação nas organizações, porém, além do governo existe um conjunto de atores que atuam nesse processo, em que se destacam os ambientes de inovação, as universidades, as empresas e as entidades de apoio e fomento. No Estado de São Paulo, o cenário de inovação tem como base o Sistema Paulista de Ambientes de Inovação que institui e regulamenta os Ambientes Formais de Inovação que apoiam as iniciativas de inovação nas organizações. Com o objetivo de ampliar a articulação e apoiar os processos de construção coletiva e colaborativa entre os principais atores de inovação do Estado de São Paulo, esta pesquisa propõe uma Plataforma Informacional do Ecossistema Paulista de Inovação que, a partir de fontes informacionais disponibilizadas pelos atores de inovação e por meio de tecnologias informacionais, semânticas e computacionais, agregue e disponibilize serviços de informação para os atores de inovação. A plataforma informacional utiliza conceitos da Web Semântica e tem como base uma ontologia que representa as informações dos principais atores de inovação do Estado e um conjunto de serviços agregados de informação, formados por agentes computacionais autônomos de extração e serviços de recuperação das informações contidas na plataforma. Por meio dos recursos de extração automática de dados de ambientes informacionais digitais e da disponibilização de serviços informacionais gerados por meio de tecnologias semânticas e computacionais geradas pela plataforma, permite que organizações tenham acesso a insumos informacionais necessários para o fomento a seus projetos de inovação.
In this work, we investigate existing citation practices by analysing a huge set of articles published in journals to measure which metadata are used across the various scholarly disciplines, independently from the particular citation style adopted, for defining bibliographic reference. We selected the most cited journals in each of the 27 subject areas listed in the SCImago Journal Rank in the 2015–2017 triennium according to the SCImago total cites ranking. Each journal in the sample was represented by five articles (in PDF format) published in the most recent issue published in October 2019, for a total of 729 articles. We extracted all 34,140 bibliographic references in the bibliographic references lists of these articles. Finally, we detected the types of cited works in each discipline and the structure of bibliographic references and in-text reference pointers for each type of cited work. By analysing the data gathered, we observed that the bibliographic references in our sample referenced 36 different types of cited works. Such a considerable variety of publications revealed the existence of particular citing behaviours in scientific articles that varied from subject area to subject area.
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