Background Animal pollination is an important ecosystem function and service, ensuring both the integrity of natural systems and human well-being. Although many knowledge shortfalls remain, some high-quality data sets on biological interactions are now available. The development and adoption of standards for biodiversity data and metadata has promoted great advances in biological data sharing and aggregation, supporting large-scale studies and science-based public policies. However, these standards are currently not suitable to fully support interaction data sharing. Results Here we present a vocabulary of terms and a data model for sharing plant–pollinator interactions data based on the Darwin Core standard. The vocabulary introduces 48 new terms targeting several aspects of plant–pollinator interactions and can be used to capture information from different approaches and scales. Additionally, we provide solutions for data serialization using RDF, XML, and DwC-Archives and recommendations of existing controlled vocabularies for some of the terms. Our contribution supports open access to standardized data on plant–pollinator interactions. Conclusions The adoption of the vocabulary would facilitate data sharing to support studies ranging from the spatial and temporal distribution of interactions to the taxonomic, phenological, functional, and phylogenetic aspects of plant–pollinator interactions. We expect to fill data and knowledge gaps, thus further enabling scientific research on the ecology and evolution of plant–pollinator communities, biodiversity conservation, ecosystem services, and the development of public policies. The proposed data model is flexible and can be adapted for sharing other types of interactions data by developing discipline-specific vocabularies of terms.
This research aims to propose principles to creating a metadata extension to the Darwin Core standard that addresses the agrobiodiversity data, with a thematic scope on ecological interactions. These principles have been compiled from the scientific literature, giving special attention to recommendations of the DCMI Abstract Model, which outlines the principles for creating metadata. The DCMI Abstract Model governs the creation of the Dublin Core metadata standard upon which Darwin Core is based. The requirements of ISO/IEC 11179-4/2004 standard for the definition of metadata were also taken into consideration. The research is in progress, so what is exposed in this article are preliminary results. A prototype of a metadata record for the field of ecological interactions, which is the scope of research within agrobiodiversity, was created to demonstrate the format that metadata will have when the extension is finalized. This research represents an initial effort to propose more effective tools for agrobiodiversity data management, but it is necessary to mature and deepen the discussions around the conceptual aspects of the ecological interactions in agrobiodiversity and the relationship of the new metadata extension with the term set of the Darwin Core, as well a robust methodology to create DwC extensions is still pending of being developed.
A eficiência na gestão patrimonial de instituições públicas e privadas, tem se mostrado um fator importante para assegurar o desenvolvimento de suas atividades-fim. No que tange às empresas públicas, a maior visibilidade na aplicação destes recursos públicos é um dos pilares que sustenta a transparência. O descarte de ativos desnecessários em uma empresa, pode se tornar uma oportunidade para aproveitamento em outra que não possui o recurso necessário para aquisição daquele item. Com o propósito de investigar o processo de desfazimento e respectiva doação destes tipos de ativos em instituições de ensino públicas, surgiu o projeto Motirõ que examinou o processo de desfazimento na Escola da Ciência da Informação (ECI) da Universidade Federal de Minas Gerais (UFMG), com base na legislação existente. Utilizando uma metodologia mista, em uma pesquisa que se caracterizou como qualitativa, foi possível desenvolver os seguintes entregáveis em relação ao processo de doação de ativos permanentes da UFMG: cronograma; escopo do projeto; tabela de temporalidade; glossário de termos técnicos; manual; plataforma digital com a relação dos produtos disponíveis para doação; modelo BPMN do processo mapeado; termo de abertura; termo de aceite, e o presente artigo, que teve como intuito descrever os procedimentos realizados na criação de produtos informacionais para um processo específico da ECI. Com base nos entregáveis, foi possível verificar que existe um protocolo a ser observado para um eficaz processo de descarte e doação.
Biodiversity is a data-intensive science and relies on data from a large number of disciplines in order to build up a coherent picture of the extent and trajectory of life on earth (Bowker 2000). The ability to integrate such data from different disciplines, geographic regions and scales is crucial for making better decisions towards sustainable development. As the Biodiversity Information Standards (TDWG) community tackles standards development and adoption beyond its initial emphases on taxonomy and species distributions, expanding its impact and engaging a wider audience becomes increasingly important. Biological interactions data (e.g., predator-prey, host-parasite, plant-pollinator) have been a topic of interest within TDWG for many years and a Biological Interaction Data Interest Group (IG) was established in 2016 to address that issue. The IG has been working on the complexity of representing interactions data and surveying how Darwin Core (DwC, Wieczorek 2012) is being used to represent them (Salim 2022). The importance of cross-disciplinary science and data inspired the recently funded WorldFAIR project—Global cooperation on FAIR data policy and practice—coordinated by the Committee on Data of the International Science Council (CODATA), with the Research Data Alliance (RDA) as a major partner. WorldFAIR will work with a set of case studies to advance implementation of the FAIR data principles (Fig. 1). The FAIR data principles promote good practices in data management, by making data and metadata Findable, Accessible, Interoperable, and Reusable (Wilkinson 2016). Interoperability will be a particular focus to facilitate cross-disciplinary research. A set of recommendations and a framework for FAIR assessment in a set of disciplines will be developed (Molloy 2022). One of WorldFAIR's case studies is related to plant-pollinator interactions data. Its starting point is the model and schema proposed by Salim (2022) based on the DwC standard, which adheres to the diversifying GBIF data model strategy and on the Plant-Pollinator vocabulary described by Salim (2021). The case study on plant-pollinator interactions originated in the TDWG Biological Interaction Data Interest Group (IG) and within the RDA Improving Global Agricultural Data (IGAD) Community of Practice. IGAD is a forum for sharing experiences and providing visibility to research and work in food and agricultural data and has become a space for networking and blending ideas related to data management and interoperability. This topic was chosen because interoperability of plant-pollinator data is needed for better monitoring of pollination services, understanding the impacts of cultivated plants on wild pollinators and quantifying the contribution of wild pollinators to cultivated crops, understanding the impact of domesticated bees on wild ecosystems, and understanding the behaviour of these organisms and how this influences their effectiveness as pollinators. In addition to the ecological importance of these data, pollination is economically important for food production. In Brazil, the economic value of the pollination service was estimated at US$ 12 billion in 2018 (Wolowski 2019). All eleven case studies within the WorldFAIR project are working on FAIR Implementation Profiles (FIPs), which capture comprehensive sets of FAIR principle implementation choices made by communities of practice and which can accelerate convergence and facilitate cross-collaboration between disciplines (Schultes 2020). The FIPs are published through the FIP Wizard, which allows the creation of FAIR Enabling Resources. The FIPs creation will be repeated by the end of the project and capture results obtained from each case study in order to advance data interoperability. In the first FIP, resources from the Global Biodiversity Information Facility (GBIF) and Global Biotic Interactions (GloBI) were catalogued by the Plant-Pollinator Case Study team, and we expect to expand the existing FAIR Enabling Resources by the end of the project and contribute to plant-pollinator data interoperability and reuse. To tackle the challenge of promoting FAIR data for plant-pollinator interactions within the broad scope of the several disciplines and subdisciplines that generate and use them, we will conduct a survey of existing initiatives handling plant-pollinator interactions data and summarise the current status of best practices in the community. Once the survey is concluded, we will choose at least five agriculture-specific plant-pollination initiatives from our partners, to serve as targets for standards adoption. For data to be interoperable and reusable, it is essential that standards and best practices are community-developed to ensure adoption by the tool builders and data scientists across the globe. TDWG plays an important role in this scenario and we expect to engage the IG and other interested parties in that discussion.
Se intenta demostrar las relaciones entre el mapeo de procesos con la modelización conceptual dentro del contexto de la gestión del conocimiento (GC) y como actividad a ser realizada por los profesionales de la información. El mapeo es la primera actividad del modelado de procesos y precede al modelado conceptual, que está insertado en el contexto de la GC, y cuyo fin es identificar y compartir los conocimientos tácitos de los individuos para hacer procesos más eficaces y facilitar la toma de decisiones estratégicas. El artículo aborda una revisión de literatura sobre la GC, la modelizacióny el modelado conceptual, y los relaciona con el mapeo de procesos. En seguida, el mapeo es ejemplificado por medio del estudio de caso en el Sistema de Registro de Tesis y Disertaciones del Instituto Superior de Contabilidad y Administración de Porto.
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