Ontologies for Research Data Description: A Design Process Applied to Vehicle Simulation

Author(s):  
João Aguiar Castro ◽  
Deborah Perrotta ◽  
Ricardo Carvalho Amorim ◽  
João Rocha da Silva ◽  
Cristina Ribeiro
2019 ◽  
Vol 15 (2) ◽  
Author(s):  
Fabiana De Melo Amaral Gonçalves Pinto ◽  
Janaynne Carvalho Do Amaral ◽  
Melina De Brito Dos Santos

RESUMO O artigo investiga a prática da curadoria de dados de pesquisa em repositórios de ensaios clínicos. Propõe reflexões sobre a informação e seus múltiplos formatos no domínio da saúde e sugere uma definição para dados de pesquisa clínicos. Apresenta o conceito de curadoria de dados de pesquisa e fomenta novos estudos que priorizam a discussão sobre a gestão de dados de pesquisa e o movimento da Ciência Aberta no domínio da saúde. Aponta para a necessidade de implantação de políticas de gestão de dados de pesquisa que assegurem critérios de descrição, sistematização, compartilhamento, recuperação, interoperabilidade, preservação e reuso de dados. Como reflexão final, ressalta o desafio de discutir e implementar a prática de curadoria de dados de pesquisa produzidos por ensaios clínicos e evidencia o vasto e oportuno campo a ser explorado, tanto para pesquisadores quanto para profissionais da informação.Palavras-chave: Curadoria de Dados; Dados de Pesquisa; Ensaio Clínico; Ciência Aberta; Reuso de Dados.ABSTRACT The article investigates the practice of curating research data in clinical trial repositories. That proposes reflections on health information and its multiple formats and suggests the definition for clinical research data. It introduces the concept of research data curation and promotes new studies, which prioritize the discussion about research data management and the Open Science movement in the health domain. The article brings points to the need to implement research data management policies that ensure criteria for data description, systematization, sharing, retrieval, interoperability, preservation and reuse. As a final reflection, it highlights the challenge of discussing and implementing the practice of curating research data produced by clinical trials and highlights the vast and timely field to be explored for both researchers and information professionals.Keywords: Data Curator; Research data; Clinical Trial; Open Science; Data Reuse.Lista 


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saad Ghafoor ◽  
Nigel Peter Grigg ◽  
Robin Mann

Purpose This paper aims to investigate how business excellence (BE) custodians (BECs) design, develop and modify their BE frameworks (BEF’s) and to provide a general framework for reviewing BEFs. The design process is important to understand as these BEFs are used to help organisations understand the components of BE to guide them towards world-class performance. Design/methodology/approach The first step was to identify all the BE awards (BEAs) worldwide and their BEFs by conducting a review of publicly available sources. This research was then limited to only those BEAs that was held no more than two years ago. Of these, 29 BECs (with active BEAs) in 26 countries agreed to participate in the research. Data was collected with the help of a survey and 13 BECs also undertook optional follow-up interviews. Findings In total, 56 countries and regions have 65 active BEAs with another 17 countries having BE initiatives. The European Foundation for Quality Management (EFQM) excellence model and the Baldrige excellence framework are used by 37.7% and 14.5% of BECs worldwide, respectively. In total, 58.3% of the BECs review their BEFs once every three years or sooner, 100% of the BECs are confident in their BEFs’ fundamental concepts and 96.5% in their categories. There are fewer active BEAs now and the use of BE is potentially decreasing which suggests that more effort is required by the BECs in promoting BE. Originality/value This research collects data directly from the BECs on how BECs design and develop BEFs and provides a general framework for reviewing BEFs.


Author(s):  
João Aguiar Castro ◽  
Ricardo Carvalho Amorim ◽  
Rúbia Gattelli ◽  
Yulia Karimova ◽  
João Rocha da Silva ◽  
...  

Research data are the cornerstone of science and their current fast rate of production is disquieting researchers. Adequate research data management strongly depends on accurate metadata records that capture the production context of the datasets, thus enabling data interpretation and reuse. This chapter reports on the authors' experience in the development of the metadata models, formalized as ontologies, for several research domains, involving members from small research teams in the overall process. This process is instantiated with four case studies: vehicle simulation; hydrogen production; biological oceanography and social sciences. The authors also present a data description workflow that includes a research data management platform, named Dendro, where researchers can prepare their datasets for further deposit in external data repositories.


2020 ◽  
Vol 9 (3) ◽  
pp. 20
Author(s):  
Dina Oktafiazi ◽  
Ena Noveria

ABSTRACT This research aims to describe two things. First describes the feature of text fable students of Class VII SMP Negeri 2 Padang Panjang. Second, describe the spelling in the text fable the text of Class VII SMP Negeri 2 Padang Panjang. This type of research is qualitative research with a descriptive method. This research Data is the use of tasks in the text Fable class VII SMP Negeri 2 Padang Panjang. The data source in this study is fable text written in grade VII students. D SMP Negeri 2 Padang Panjang numbering 30 texts. Data is collected through documentation study methods or document utilization. The data analysis technique is done by five procedures. First, identify common elements of data. Secondly, it identifies the data based on the theory of reference. The identification of the data is done by creating the fable text and spelling characteristics identification format. Third, analyzing the data. Fourth, interpret the data that has been analyzed. Fifth, concludes the data description results by writing a report.Kata Kunci: Analisis, Ciri Kebahasaan dan Ejaan, Teks Fabel


2013 ◽  
Author(s):  
Lori B. Stone ◽  
Abigail Lundquist ◽  
Stefan Ganchev ◽  
Nora Ladjahasan

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