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Presentation for Symposium on Ectoparasites and Zoonotic Vector-Borne Pathogens in the Guangdong-Hong Kong-Macau Greater Bay Area.

La biología computacional ha ganado fuerza como disciplina científica independiente en los últimos años en América del Sur. Sin embargo, todavía existe una necesidad creciente de biocientíficos, de diferentes orígenes y con diferentes niveles, para adquirir habilidades de programación, lo que podría reducir el tiempo de los datos a los conocimientos y conectar la comunicación entre los científicos de la vida y los informáticos. Python es un lenguaje de programación ampliamente utilizado en bioinformática y ciencia de datos, que es particularmente adecuado para principiantes. Aquí, describimos la concepción, organización e implementación del Taller Brasileño de Python para Datos Biológicos. Este taller ha sido organizado por estudiantes de pregrado y posgrado y apoyado, principalmente en asuntos administrativos, por profesores experimentados desde 2017. El taller fue concebido para enseñar a biocientíficos, principalmente estudiantes en Brasil, sobre cómo programar en un contexto biológico. El objetivo de este artículo fue compartir nuestra experiencia con la edición 2020 del taller en su formato virtual debido a la pandemia de la Enfermedad por Coronavirus 2019 (COVID-19) y comparar y contrastar la experiencia de este año con las ediciones presenciales anteriores. Describimos un modelo de taller práctico y de codificación en vivo para enseñar la programación introductoria de Python. También destacamos las adaptaciones realizadas de formato presencial a online en 2020, la evaluación de los participantes sobre la progresión del aprendizaje y la gestión general del taller. Por último, brindamos un resumen y reflexiones de nuestras experiencias personales de los talleres de los últimos 4 años. Nuestras conclusiones incluyeron los beneficios del aprendizaje a partir de los comentarios de los alumnos (LLF, por sus siglas en inglés) que nos permitieron mejorar el taller en tiempo real, a corto y probablemente a largo plazo. Concluimos que el Taller Brasileño de Python para Datos Biológicos es un modelo de taller altamente efectivo para la enseñanza de un lenguaje de programación que permite a los biocientíficos ir más allá de una exploración inicial de habilidades de programación para el análisis de datos a mediano y largo plazo. Computational biology has gained traction as an independent scientific discipline over the last years in South America. However, there is still a growing need for bioscientists, from different backgrounds, with different levels, to acquire programming skills, which could reduce the time from data to insights and bridge communication between life scientists and computer scientists. Python is a programming language extensively used in bioinformatics and data science, which is particularly suitable for beginners. Here, we describe the conception, organization, and implementation of the Brazilian Python Workshop for Biological Data. This workshop has been organized by graduate and undergraduate students and supported, mostly in administrative matters, by experienced faculty members since 2017. The workshop was conceived for teaching bioscientists, mainly students in Brazil, on how to program in a biological context. The goal of this article was to share our experience with the 2020 edition of the workshop in its virtual format due to the Coronavirus Disease 2019 (COVID-19) pandemic and to compare and contrast this year’s experience with the previous in-person editions. We described a hands-on and live coding workshop model for teaching introductory Python programming. We also highlighted the adaptations made from in-person to online format in 2020, the participants’ assessment of learning progression, and general workshop management. Lastly, we provided a summary and reflections from our personal experiences from the workshops of the last 4 years. Our takeaways included the benefits of the learning from learners’ feedback (LLF) that allowed us to improve the workshop in real time, in the short, and likely in the long term. We concluded that the Brazilian Python Workshop for Biological Data is a highly effective workshop model for teaching a programming language that allows bioscientists to go beyond an initial exploration of programming skills for data analysis in the medium to long term.

This report is based on the discussions and presentations that took place at the Workshop on Sustainable Software Sustainability (www.software.ac.uk/wosss19) in April 2019 (WOSSS19). It captures the state of the art for a range of Software Sustainability themes that were brought up by the organisers and attendees of the workshop.

Programas de computador s��o parte integral da maioria das pesquisas cient��ficas e seus desenvolvedores, assim como outros atores no processo de investiga����o cient��fica, contam com cita����es para mensurar a relev��ncia do seu trabalho. Infelizmente, a pr��tica de citar programas de computador n��o �� comum. Nesse trabalho, os autores apresentam o Citation File Format que tenta facilitar a pr��tica de citar programas de computador utilizados na pesquisa cient��fica., Cadernos BAD, N.�� 1 (2018): Atas da 9�� Confer��ncia Luso Brasileira sobre Acesso Aberto

The Institute's Fellowship programme funds researchers who want to improve computational practice in their areas of work. The main goals of the Programme are to help support improvements in computation practice and promote the results of these activities around research and software from all disciplines., Funders: UK Engineering and Physical Sciences Research Council (EPSRC) through grant EP/H043160/1 and EPSRC, BBSRC and ESRC Grant EP/N006410/1.

In 2014, a survey in the UK showed how important research software is. On this paper, the author compares the data from the 2014 survey on the UK with new data from Brazil to discover that a quarter of Brazilian academics develop their own software as part of their work but never had training on software development.

Scientific software often presents very particular requirements regarding usability, which is often completely overlooked in this setting. As computational science has emerged as its own discipline, distinct from theoretical and experimental science, it has put new requirements on future scientific software developments. In this paper, we discuss the background of these problems and introduce nine aspects of good usability. We also highlight best practices for each aspect with an emphasis on applications in computational science.

Este estudo enfoca sobre a questão da computação em nuvem e suas aplicações. Trata ainda sobre como as empresas devem organizar-se para migrar para esse serviço e discute sua relação com a recuperação de informações, serviço prestado pelas bibliotecas. O objetivo geral é investigar as perspectivas e possibilidades do uso de computação em nuvem para bibliotecas. E os objetivos específicos foram: fazer um levantamento de diversas literaturas que tratam da computação em nuvens; identificar como o serviço de computação em nuvens pode trazer benefícios para as bibliotecas e, de um modo geral, para a sociedade; propor uma discussão sobre o uso de e-book, seu surgimento, bem como as vantagens e mudanças dessa tecnologia na maneira de acessar informações. Para formar o arcabouço teórico deste trabalho, foram recuperados textos em bases de dados da Scielo, LISA, em revista da área da Ciência da Informação, Google Acadêmico, bem como o uso de materiais, como: teses, dissertações, monografias, artigos e páginas da web de empresas, como é o caso da Cloud Security Aliance, e autores como Cogo (2013), Martins (2012), Ogura (2011) e Taurion (2009). Quando se pensa em bibliotecas e computação em nuvens, nota-se extrema relação entre elas, uma vez que ambas prezam pelo armazenamento e organização da informação. Entretanto, a pesquisa revelou que bibliotecas que estão em nuvem têm grande diferencial na comunidade na qual estão estabelecidas, pois as vantagens obtidas são imensas e perpassam desde a interface, a organização dos livros até a forma de como podem ser emprestados para o usuário.Palavras-chave: Computação nas Nuvens. Biblioteca nas Nuvens. Livros Digitais.

Opuntia fícus – indica (L) Mill is a plant of various uses, native México and belonging to cactaceae family. In Brazil is cultivated at the northeast, being considered the allocation forgae from the region. This literature review has as objectives to describe and discuss botanical, ecopysiological and economical characteristics of culture with a goal to stimulate your cropping in the arid and semiarid ecosystems. Opuntia ficus- indica (L) Mill El Cardón de México, La Chumba o laChumbera es una planta multipropósito, originario de México y pertenece a la familia de los cactus. En Brasil se cultiva en el noreste, teniendo en cuenta las reservas de forraje en la región. Esta revisión de la literatura tiene como objetivo describir y analizar las características botánicas, ecofisiológicos y cultura económica a fin de promover su cultivo en ecosistemas áridos y semiáridos. Opuntia fícus - indica (L) Mill é uma planta de múltiplos usos, nativa do México e pertencente à família cactácea. No Brasil é cultivada no Nordeste, sendo considerada a reserva forrageira da região. Esta revisão de literatura tem por objetivos descrever e discutir as características botânicas, ecofisiológicas e econômicas da cultura com a finalidade de estimular o seu cultivo nos ecossistemas áridos e semiáridos.

Scientific software often presents very particular requirements regarding usability, which is often completely overlooked in this setting. As computational science has emerged as its own discipline, distinct from theoretical and experimental science, it has put new requirements on future scientific software developments. In this paper, we discuss the background of these problems and introduce nine aspects of good usability. We also highlight best practices for each aspect with an emphasis on applications in computational science.

The Citation File Format (CFF) is a human- and machine-readable - and human-writable - format for CITATION files. These files provide citation metadata for (research and scientific) software. The format aims to support use cases for software citation described in [1]. CFF is serialized in YAML 1.2, and is therefore Unicode-based and cross-language (in terms of both natural language scripts and programming languages). This specification, together with the Unicode standard for characters, aims to provide all the information necessary to understand CFF, and to use (i.e., write) and re-use (i.e., read, validate, convert from) it. These specifications are maintained openly at https://github.com/citation-file-format/citation-file-format. [1] A. M. Smith, D. S. Katz, K. E. Niemeyer, and FORCE11 Software Citation Working Group, “Software citation principles,” PeerJ Computer Science, vol. 2, p. e86, Sep. 2016 [Online]. Available: https://doi.org/10.7717/peerj-cs.86

The Citation File Format (CFF) is a human- and machine-readable - and human-writable - format for CITATION files. These files provide citation metadata for (research and scientific) software. The format aims to support use cases for software citation described in [1]. CFF is serialized in YAML 1.2, and is therefore Unicode-based and cross-language (in terms of both natural language scripts and programming languages). This specification, together with the Unicode standard for characters, aims to provide all the information necessary to understand CFF, and to use (i.e., write) and re-use (i.e., read, validate, convert from) it. These specifications are maintained openly at https://github.com/citation-file-format/citation-file-format. [1] A. M. Smith, D. S. Katz, K. E. Niemeyer, and FORCE11 Software Citation Working Group, “Software citation principles,” PeerJ Computer Science, vol. 2, p. e86, Sep. 2016 [Online]. Available: https://doi.org/10.7717/peerj-cs.86

The Citation File Format (CFF) is a human- and machine-readable - and human-writable - format for CITATION files. These files provide citation metadata for (research and scientific) software. The format aims to support use cases for software citation described in [1]. CFF is serialized in YAML 1.2, and is therefore Unicode-based and cross-language (in terms of both natural language scripts and programming languages). This specification, together with the Unicode standard for characters, aims to provide all the information necessary to understand CFF, and to use (i.e., write) and re-use (i.e., read, validate, convert from) it. These specifications are maintained openly at https://github.com/citation-file-format/citation-file-format. [1] A. M. Smith, D. S. Katz, K. E. Niemeyer, and FORCE11 Software Citation Working Group, “Software citation principles,” PeerJ Computer Science, vol. 2, p. e86, Sep. 2016 [Online]. Available: https://doi.org/10.7717/peerj-cs.86