scholarly journals Seven Easy Steps to Open Science

2019 ◽  
Vol 227 (4) ◽  
pp. 237-248 ◽  
Author(s):  
Sophia Crüwell ◽  
Johnny van Doorn ◽  
Alexander Etz ◽  
Matthew C. Makel ◽  
Hannah Moshontz ◽  
...  
Keyword(s):  
Open Access ◽  
Open Data ◽  
Open Science ◽  
Scientific Practices ◽  
Reading List ◽  
Psychological Science ◽  
Research And Teaching ◽  
Replication Research ◽  
Science Movement

Abstract. The open science movement is rapidly changing the scientific landscape. Because exact definitions are often lacking and reforms are constantly evolving, accessible guides to open science are needed. This paper provides an introduction to open science and related reforms in the form of an annotated reading list of seven peer-reviewed articles, following the format of Etz, Gronau, Dablander, Edelsbrunner, and Baribault (2018) . Written for researchers and students – particularly in psychological science – it highlights and introduces seven topics: understanding open science; open access; open data, materials, and code; reproducible analyses; preregistration and registered reports; replication research; and teaching open science. For each topic, we provide a detailed summary of one particularly informative and actionable article and suggest several further resources. Supporting a broader understanding of open science issues, this overview should enable researchers to engage with, improve, and implement current open, transparent, reproducible, replicable, and cumulative scientific practices.

scholarly journals 7 Easy Steps to Open Science: An Annotated Reading List

2018 ◽  
Author(s):  
Sophia Crüwell ◽  
Johnny van Doorn ◽  
Alexander Etz ◽  
Matthew C. Makel ◽  
Hannah Moshontz ◽  
...  
Keyword(s):  
Open Access ◽  
Open Data ◽  
Open Science ◽  
Scientific Practices ◽  
Reading List ◽  
Psychological Science ◽  
Research And Teaching ◽  
Replication Research ◽  
Science Movement

The Open Science movement is rapidly changing the scientific landscape. Because exact definitions are often lacking and reforms are constantly evolving, accessible guides to open science are needed. This paper provides an introduction to open science and related reforms in the form of an annotated reading list of seven peer-reviewed articles, following the format of Etz et al. (2018). Written for researchers and students - particularly in psychological science - it highlights and introduces seven topics: understanding open science; open access; open data, materials, and code; reproducible analyses; preregistration and registered reports; replication research; and teaching open science. For each topic, we provide a detailed summary of one particularly informative and actionable article and suggest several further resources. Supporting a broader understanding of open science issues, this overview should enable researchers to engage with, improve, and implement current open, transparent, reproducible, replicable, and cumulative scientific practices.

scholarly journals Critérios para avaliação de ferramentas para repositório conforme a Ciência Aberta

2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Angélica Conceição Dias Miranda ◽  
Milton Shintaku ◽  
Simone Machado Firme
Keyword(s):  
Open Access ◽  
Evaluation Criteria ◽  
Open Data ◽  
Open Science ◽  
Scientific Production ◽  
Open File ◽  
Research Institutes ◽  
Criteria For Evaluation ◽  
Science Movement ◽  
Bibliographic Study

Resumo: Os repositórios têm se tornado comum nas universidades e institutos de pesquisa, como forma de ofertar acesso à produção científica e, com isso, dar visibilidade à instituição. Entretanto, em muitos casos ainda estão restritos aos conceitos do movimento do arquivo aberto e acesso aberto, sendo que já se discute o Movimento da Ciência Aberta, revelando certo descompasso, requerendo estudos que apoiem a atualização dessa importante ferramenta. Nesse sentido, o presente estudo verifica os requisitos envolvidos nos movimentos abertos, de forma a apoiar a discussão técnica e tecnológica. Um estudo bibliográfico, que transforma as informações sobre os movimentos em critérios para avaliação de ferramentas para criação de repositórios, apresentando a implementação da interação como um novo desafio. Nas considerações procura-se contribuir com a discussão sobre a Ciência Aberta, de forma mais aplicada bem como o ajuste dos repositórios a esse movimento.Palavras-chave: Repositórios.  Critérios de avaliação. Arquivo aberto. Acesso aberto. Dados abertos. Ciência aberta.SURVEY OF CRITERIA FOR EVALUATION OF REPOSITORY TOOLS ACCORDING TO OPEN SCIENCE Abstract: Repositories have become common in universities and research institutes, as a way of offering access to scientific production, thereby giving visibility to the institution. Meanwhile, in many cases, repositories are restricted to the concepts of open movement and open access considering that the Open Science Movement is already being discussed. Regarding this matter, this study verifies the requirements involved in the open movements, in order to support a technical and technological discussion.  A bibliographic study that transforms information about movements into criteria to evaluate tools used to create repositories, presenting an implementation of interaction as a new challenge. In the considerations, we contribute with a discussion about an Open Science, in a more applied way, as well as the adjustment of the repositories to this movement.Keywords: Repositories. Evaluation Criteria. Open File. Open Access. Open Data. Open Science.

scholarly journals Open Developmental Science: An Overview and Annotated Reading List

2021 ◽  
Author(s):  
Tamara Kalandadze ◽  
Sara Ann Hart
Keyword(s):  
Open Access ◽  
Open Data ◽  
Open Science ◽  
Science Practices ◽  
The Core ◽  
Reading List ◽  
Annotated List ◽  
Developmental Science ◽  
Starting Point

The increasing adoption of open science practices in the last decade has been changing the scientific landscape across fields. However, developmental science has been relatively slow in adopting open science practices. To address this issue, we followed the format of Crüwell et al., (2019) and created summaries and an annotated list of informative and actionable resources discussing ten topics in developmental science: Open science; Reproducibility and replication; Open data, materials and code; Open access; Preregistration; Registered reports; Replication; Incentives; Collaborative developmental science.This article offers researchers and students in developmental science a starting point for understanding how open science intersects with developmental science. After getting familiarized with this article, the developmental scientist should understand the core tenets of open and reproducible developmental science, and feel motivated to start applying open science practices in their workflow.

Open Science in Education Sciences

2019 ◽  
Author(s):  
Wilhelmina van Dijk ◽  
Chris Schatschneider ◽  
Sara Ann Hart
Keyword(s):  
Open Access ◽  
Open Data ◽  
Scientific Publication ◽  
Open Science ◽  
The Public ◽  
Critical Elements ◽  
Rigorous Research ◽  
Funding Agencies ◽  
Education Science ◽  
Science Movement

The Open Science movement has gained considerable traction in the last decade. The Open Science movement tries to increase trust in research results and open the access to all elements of a research project to the public. Central to these goals, Open Science has promoted four critical elements: Open Data, Open Analysis, Preregistration, and Open Access. All Open Science elements can be thought of as extensions to the traditional way of achieving openness in science, which has been scientific publication of research outcomes in journals or books. Open Science in Education Sciences, however, has the potential to be much more than a safeguard against questionable research. Open Science in Education Science provides opportunities to (a) increase the transparency and therefore replicability of research, and (b) develop and answer research questions about individuals with learning disabilities and learning difficulties that were previously impossible to answer due to complexities in data analysis methods. We will provide overviews of the main tenets of Open Science (i.e., Open Data, Open Analysis, Preregistration, and Open Access), show how they are in line with grant funding agencies’ expectations for rigorous research processes, and present resources on best practices for each of the tenets.

scholarly journals Open Science in Education Sciences

2020 ◽  
pp. 002221942094526
Author(s):  
Wilhelmina van Dijk ◽  
Christopher Schatschneider ◽  
Sara A. Hart
Keyword(s):  
Open Access ◽  
Open Data ◽  
Scientific Publication ◽  
Open Science ◽  
The Public ◽  
Rigorous Research ◽  
Funding Agencies ◽  
Education Science ◽  
Science Movement ◽  
Open Materials

The Open Science movement has gained considerable traction in the last decade. The Open Science movement tries to increase trust in research results and open the access to all elements of a research project to the public. Central to these goals, Open Science has promoted five critical tenets: Open Data, Open Analysis, Open Materials, Preregistration, and Open Access. All Open Science elements can be thought of as extensions to the traditional way of achieving openness in science, which has been scientific publication of research outcomes in journals or books. Open Science in education sciences, however, has the potential to be much more than a safeguard against questionable research. Open Science in education science provides opportunities to (a) increase the transparency and therefore replicability of research and (b) develop and answer research questions about individuals with learning disabilities and learning difficulties that were previously impossible to answer due to complexities in data analysis methods. We will provide overviews of the main tenets of Open Science (i.e., Open Data, Open Analysis, Open Materials, Preregistration, and Open Access), show how they are in line with grant funding agencies’ expectations for rigorous research processes, and present resources on best practices for each of the tenets.

scholarly journals Sharing and organizing research products as R packages

2020 ◽  
Author(s):  
Matti Vuorre ◽  
Matthew John Charles Crump
Keyword(s):  
Open Access ◽  
Open Data ◽  
R Package ◽  
Open Science ◽  
Online Supplement ◽  
Psychological Science ◽  
Online Platforms ◽  
R Packages ◽  
Science Framework

A consensus on the importance of open data and reproducible code is emerging. How should data and code be shared to maximize the key desiderata of reproducibility, permanence, and accessibility? Research assets should be stored persistently in formats that are not software restrictive, and documented so that others can reproduce and extend the required computations. The sharing method should be easy to adopt by already busy researchers. We suggest the R package standard as a solution for creating, curating, and communicating research assets. The R package standard, with extensions discussed herein, provides a format for assets and metadata that satisfies the above desiderata, facilitates reproducibility, open access, and sharing of materials through online platforms like GitHub and Open Science Framework. We discuss a stack of R resources that help users create reproducible collections of research assets, from experiments to manuscripts, in the RStudio interface. We created an R package, vertical, to help researchers incorporate these tools into their workflows, and discuss its functionality at length in an online supplement. Together, these tools may increase the reproducibility and openness of psychological science.

scholarly journals Open Science in Dinosaur Paleontology

2019 ◽  
Author(s):  
Jonathan Tennant ◽  
Andrew Farke
Keyword(s):  
Open Access ◽  
Open Source ◽  
Open Data ◽  
Modern Society ◽  
Open Science ◽  
Scientific Practices ◽  
Data Standards ◽  
Digital Ecosystem ◽  
Made In

Research is in the midst of a period of global terraform, usually heralded under the banner of ‘Open Science’. Open Science is a response from communities to an increasingly digital ecosystem, enabling new practices to emerge. Three of the major pillars of Open Science include Open Access, Open Data, and Open Source. The global paleontological community is slowly adapting to each of these as part of its culture, raising new questions around scientific practices, data standards and interoperability, and the role of paleontological research in a modern society. This chapter discusses some of the progress that the paleontological community has made in shifting towards open practices, and considers some potential avenues for the future of the field.

scholarly journals A landscape of open science policies research

2021 ◽  
Author(s):  
Alejandra Manco
Keyword(s):  
Open Access ◽  
Science Policy ◽  
Open Data ◽  
Open Science ◽  
General Science ◽  
Policy Framing ◽  
Spanish Speaking ◽  
English Speaking ◽  
Main Component ◽  
Science Policies

<p>Open science policies are a much-discussed issue. This literature review aims to examine the approach given to open science policy in these studies. <b></b></p> The approach given to open science in the selected works has different aspects: policy framing and its geopolitical aspects are described as an asymmetries replication and epistemic governance tool. The main geopolitical aspects of open science policies described in the literature are the relations between international, regional and national policies. There are also different components of open science covered in the literature: open data seems much discussed in the English speaking works while open access is the main component discussed in the Portuguese and Spanish speaking papers. Finally, the relation between open science policies and the general science policy is framed by highlighting the innovation and transparency that open science can bring to it.

scholarly journals The reproducibility challenge – what researchers need

2017 ◽  
Author(s):  
Federica Rosetta
Keyword(s):  
Scientific Discovery ◽  
Open Data ◽  
Science Research ◽  
Open Science ◽  
Research Data ◽  
Data Sets ◽  
Scientific Practices ◽  
Data Citation ◽  
Materials Used ◽  
High Level

Watch the VIDEO here.Within the Open Science discussions, the current call for “reproducibility” comes from the raising awareness that results as presented in research papers are not as easily reproducible as expected, or even contradicted those original results in some reproduction efforts. In this context, transparency and openness are seen as key components to facilitate good scientific practices, as well as scientific discovery. As a result, many funding agencies now require the deposit of research data sets, institutions improve the training on the application of statistical methods, and journals begin to mandate a high level of detail on the methods and materials used. How can researchers be supported and encouraged to provide that level of transparency? An important component is the underlying research data, which is currently often only partly available within the article. At Elsevier we have therefore been working on journal data guidelines which clearly explain to researchers when and how they are expected to make their research data available. Simultaneously, we have also developed the corresponding infrastructure to make it as easy as possible for researchers to share their data in a way that is appropriate in their field. To ensure researchers get credit for the work they do on managing and sharing data, all our journals support data citation in line with the FORCE11 data citation principles – a key step in the direction of ensuring that we address the lack of credits and incentives which emerged from the Open Data analysis (Open Data - the Researcher Perspective https://www.elsevier.com/about/open-science/research-data/open-data-report ) recently carried out by Elsevier together with CWTS. Finally, the presentation will also touch upon a number of initiatives to ensure the reproducibility of software, protocols and methods. With STAR methods, for instance, methods are submitted in a Structured, Transparent, Accessible Reporting format; this approach promotes rigor and robustness, and makes reporting easier for the author and replication easier for the reader.

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