scholarly journals Arquitetura para publicação de dados sobre biodiversidade em instituições de pesquisa | Architecture for Publication of Data on Biodiversity in Research Institutions

2019 ◽  
Vol 15 (2) ◽  
Author(s):  
Eduardo Couto Dalcin ◽  
João Lanna ◽  
Natália Queiroz ◽  
Rafaela Campostrini Forzza

RESUMO Desde a Declaração de Berlin sobre o Acesso Aberto ao Conhecimento em Ciências e Humanidades, publicada em 2003, a demanda por uma “ciência aberta” cuja preocupação primordial é tornar a atividade de pesquisa mais transparente, mais cola­borativa e mais eficiente, tem crescido na comunidade acadêmica. Aliado a isso, vem se consolidando a  percepção de que o acesso e compartilhamento de dados de pesquisa contribui de forma significativa para que a ciência avance e  maximize os investimentos aplicados em programas de pesquisa. Neste sentido este estudo apresenta uma proposta composta de repositórios digitais e ferramentas computacionais voltadas para publicação e compartilhamento de recursos de informação em institutos de pesquisa. A arquitetura proposta, baseada em ferramentas livres e de código aberto mostrou-se adequada à gestão e publicação de recursos de informação em instituições de pesquisa. Porém, esta abordagem apontou a necessidade de uma ferramenta de busca que integre as diferentes ferramentas, assim como da existência de um vocabulário controlado, capaz de indexar os recursos em seus diferentes contextos.Palavras-chave: Dados Abertos; Ciência Aberta; Publicação de Dados Científicos.ABSTRACT Since the Berlin Declaration on Open Access to Knowledge in Science and Humanities published in 2003, the demand for an "open science" whose primary concern is to make research activity more transparent, more collaborative and more efficient, has grown at the academy. Added to this, the perception that the access and sharing of research data contribute significantly to science advance and maximize the investments applied in research programs has been consolidated. In this sense, the present work presents a proposal composed of digital repositories and computational tools aimed at publishing and sharing of information resources in research institutes. The proposed architecture, based on free and open-source tools, proved adequate for the management and publication of information resources in research institutions. However, this approach pointed to the need for a search tool that integrates the different tools, as well as the existence of a controlled vocabulary, capable of indexing resources in their different contexts.Keywords: Open Data; Open Science; Scientific Data Publishing.

2018 ◽  
Vol 22 (4) ◽  
pp. 53-63 ◽  
Author(s):  
Dmitriy A. Kachan ◽  
Alexandra V. Bogatko ◽  
Ivan N. Bogatko ◽  
Sergei V. Enin ◽  
Uladzimir G. Kulazhanka ◽  
...  

Purpose of the study. The purpose of this paper is to analyze the current state and prospects for introducing the principles of open access to scientific publications and scientific data in the sphere of science and education in Belarus. Its relevance is related to the need to develop measures to accelerate the process of digital transformation of science and education of the Republic of Belarus.Materials and methods. Information base of the research was made by publications of scientists and specialists on the issues under study, normative documents, final documents of conferences on this topic, data from the Open Data in Belarus portal, national and international aggregators of institutional repositories, open scientific data repositories.Results. The analysis of the state and prospects of introducing the principles of open access to scientific publications and scientific data into the sphere of science and education of Belarus was carried out during the research. It is shown that the digital transformation of science and education is at an early stage. The dissemination of the principles of open science and the introduction of new instruments of scientific communication in the Belarusian academic and university science are uneven, there is a need to develop a strategy in this direction. The principle of open access to publications is being most actively introduced into practice through the development of a network of university repositories. In Belarus, the open data infrastructure is at the very beginning of its formation. In this regard, there is a need to conduct additional research to identify problems associated with the discovery of scientific data. One step in the transition to open science is the unification of all the repositories on a single platform of the national aggregator. The review of national and international aggregators of institutional repositories is presented. The questions on creation of the national system-aggregator of information resources of open access in the Republic of Belarus in the context of the formation of the Republican information and educational environment are considered: the purpose of the system, the platform used, technical solutions for organizing the integration of information systems of higher education institutions and the rules of interaction of system users.Conclusions. The creation of a national system-aggregator will not only provide a single point of access to the institutional repositories of project participants, which will significantly improve the convenience and completeness of the search, but will also solve one of the most important tasks of the project - popularizing the idea of open access to scientific publications. The implementation of the proposed measures to create conditions for the discovery of scientific data in Belarus will contribute to the introduction of the principle of open access to scientific data. The considered approaches will allow accelerating the process of digital transformation of the scientific and educational sphere of Belarus.


Author(s):  
Katarzyna Biernacka ◽  
Niels Pinkwart

The relevance of open research data is already acknowledged in many disciplines. Demanded by publishers, funders, and research institutions, the number of published research data increases every day. In learning analytics though, it seems that data are not sufficiently published and re-used. This chapter discusses some of the progress that the learning analytics community has made in shifting towards open practices, and it addresses the barriers that researchers in this discipline have to face. As an introduction, the movement and the term open science is explained. The importance of its principles is demonstrated before the main focus is put on open data. The main emphasis though lies in the question, Why are the advantages of publishing research data not capitalized on in the field of learning analytics? What are the barriers? The authors evaluate them, investigate their causes, and consider some potential ways for development in the future in the form of a toolkit and guidelines.


Author(s):  
Mariya Dimitrova ◽  
Raïssa Meyer ◽  
Pier Luigi Buttigieg ◽  
Teodor Georgiev ◽  
Georgi Zhelezov ◽  
...  

Data papers have emerged as a powerful instrument for open data publishing, obtaining credit, and establishing priority for datasets generated in scientific experiments. Academic publishing improves data and metadata quality through peer-review and increases the impact of datasets by enhancing their visibility, accessibility, and re-usability. We aimed to establish a new type of article structure and template for omics studies: the omics data paper. To improve data interoperability and further incentivise researchers to publish high-quality data sets, we created a workflow for streamlined import of omics metadata directly into a data paper manuscript. An omics data paper template was designed by defining key article sections which encourage the description of omics datasets and methodologies. The workflow was based on REpresentational State Transfer services and Xpath to extract information from the European Nucleotide Archive, ArrayExpress and BioSamples databases, which follow community-agreed standards. The workflow for automatic import of standard-compliant metadata into an omics data paper manuscript facilitates the authoring process. It demonstrates the importance and potential of creating machine-readable and standard-compliant metadata. The omics data paper structure and workflow to import omics metadata improves the data publishing landscape by providing a novel mechanism for creating high-quality, enhanced metadata records, peer reviewing and publishing of these. It constitutes a powerful addition for distribution, visibility, reproducibility and re-usability of scientific data. We hope that streamlined metadata re-use for scholarly publishing encourages authors to improve the quality of their metadata to achieve a truly FAIR data world.


BioScience ◽  
2020 ◽  
Author(s):  
Jocelyn P Colella ◽  
Ryan B Stephens ◽  
Mariel L Campbell ◽  
Brooks A Kohli ◽  
Danielle J Parsons ◽  
...  

Abstract The open-science movement seeks to increase transparency, reproducibility, and access to scientific data. As primary data, preserved biological specimens represent records of global biodiversity critical to research, conservation, national security, and public health. However, a recent decrease in specimen preservation in public biorepositories is a major barrier to open biological science. As such, there is an urgent need for a cultural shift in the life sciences that normalizes specimen deposition in museum collections. Museums embody an open-science ethos and provide long-term research infrastructure through curation, data management and security, and community-wide access to samples and data, thereby ensuring scientific reproducibility and extension. We propose that a paradigm shift from specimen ownership to specimen stewardship can be achieved through increased open-data requirements among scientific journals and institutional requirements for specimen deposition by funding and permitting agencies, and through explicit integration of specimens into existing data management plan guidelines and annual reporting.


2017 ◽  
Vol 12 (2) ◽  
pp. 1-25
Author(s):  
Cerys Willoughby ◽  
Frey Jeremy

Computers and computation have become essential to scientific activity and significant amounts of data are now captured digitally or even “born digital”. Consequently, there is more and more incentive to capture the full experiment records using digital tools, such as Electronic Laboratory Notebooks (ELNs), to enable the effective linking and publication of experiment design and methods with the digital data that is generated as a result. Inclusion of metadata for experiment records helps with providing access, effective curation, improving search, and providing context, and further enables effective sharing, collaboration, and reuse. Regrettably, just providing researchers with the facility to add metadata to their experiment records does not mean that they will make use of it, or if they do, that the metadata they add will be relevant and useful. Our research has clearly indicated that researchers need support and tools to encourage them to create effective metadata. Tools, such as ELNs, provide an opportunity to encourage researchers to curate their records during their creation, but can also add extra value, by making use of the metadata that is generated to provide capabilities for research management and Open Science that extend far beyond what is possible with paper notebooks. The Southampton Chemical Information group, has, for over fifteen years, investigated the use of the Web and other tools for the collection, curation, dissemination, reuse, and exploitation of scientific data and information. As part of this activity we have developed a number of ELNs, but a primary concern has been how best to ensure that the future development of such tools is both usable and useful to researchers and their communities, with a focus on curation at source. In this paper, we describe a number of user research and user studies to help answer questions about how our community makes use of tools and how we can better facilitate the capture and curation of experiment records and the related resources.


Author(s):  
Ana Margarida Dias da Silva ◽  
Leonor Calvão Borges ◽  
Luísa Alvim

The open science movement, based on the statements of Budapest (2002), Bethesda (2003) and Berlin (2003), and in line with the Sustainable Development Goals, defined by the UN in 2015, aims at accessing scientific literature through free availability and widespread scientific data on the WWW. In memory institutions, the availability of open access content aims to connect with users, in a new form of relationship benefited by the use of Web 2.0 platforms and citizen science projects. The purpose of this article is to identify and map trends in open data and citizen science projects in the National Archives, Library and Museum and to verify whether they are (or not) aligned with their foreign counterparts. It concludes by the still incipient but growing trend in Portugal, which can be partially explained by the fact that the coordination services in these areas do not promote projects on the Web 2.0.


2018 ◽  
Vol 3 (3) ◽  
Author(s):  
Siraprapa Chavanayarn

Open science refers to all scientific culture that is described by its openness. It may often include features of open access, open data, and open source. Fecher and Friesike (2014) identify five open science schools of thought: the public school, which is about the accessibility of knowledge creation; the democratic school, which is about equality of access to knowledge; the pragmatic school, which is about collaborative research; the infrastructure school, which is about the technological architecture; and the measurement school, which is about alternative impact measurement. This article argues that there are only two open science schools, the public and democratic iterations, that can defend themselves against the serious epistemic objections to open science. In addition, if society supports an “open discussion” policy, societies will gain much more benefit from open science. These two schools, therefore, have more epistemic value than the other schools.


Author(s):  
Ahsan Morshed

In the spite of explosive growth of the Internet, information relevant to users is often unavailable even when using the latest browsers. At the same time, there is an ever-increasing number of documents that vary widely in content, format, and quality. The documents often change in content and location because they do not belong to any kind of centralized control. On the other hand, there is a huge number of unknown users with extremely diverse needs, skills, education, and cultural and language backgrounds. One of the solutions to these problems might be to use standard terms with meaning; this can be termed as controlled vocabulary (CV). Though there is no specific notion of CV, we can define it as a set of concepts or preferred terms and existing relations among them. These vocabularies play very important roles classifying the information. In this chapter, we focus the role of CV for publishing the web of data on the Web.


Publications ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 31
Author(s):  
Manh-Toan Ho ◽  
Manh-Tung Ho ◽  
Quan-Hoang Vuong

This paper seeks to introduce a strategy of science communication: Total SciComm or all-out science communication. We proposed that to maximize the outreach and impact, scientists should use different media to communicate different aspects of science, from core ideas to methods. The paper uses an example of a debate surrounding a now-retracted article in the Nature journal, in which open data, preprints, social media, and blogs are being used for a meaningful scientific conversation. The case embodied the central idea of Total SciComm: the scientific community employs every medium to communicate scientific ideas and engages all scientists in the process.


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