scholarly journals How open science helps researchers succeed

eLife ◽  
2016 ◽  
Vol 5 ◽  
Author(s):  
Erin C McKiernan ◽  
Philip E Bourne ◽  
C Titus Brown ◽  
Stuart Buck ◽  
Amye Kenall ◽  
...  

Open access, open data, open source and other open scholarship practices are growing in popularity and necessity. However, widespread adoption of these practices has not yet been achieved. One reason is that researchers are uncertain about how sharing their work will affect their careers. We review literature demonstrating that open research is associated with increases in citations, media attention, potential collaborators, job opportunities and funding opportunities. These findings are evidence that open research practices bring significant benefits to researchers relative to more traditional closed practices.

Publications ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 65 ◽  
Author(s):  
Marcel Knöchelmann

Open science refers to both the practices and norms of more open and transparent communication and research in scientific disciplines and the discourse on these practices and norms. There is no such discourse dedicated to the humanities. Though the humanities appear to be less coherent as a cluster of scholarship than the sciences are, they do share unique characteristics which lead to distinct scholarly communication and research practices. A discourse on making these practices more open and transparent needs to take account of these characteristics. The prevalent scientific perspective in the discourse on more open practices does not do so, which confirms that the discourse’s name, open science, indeed excludes the humanities so that talking about open science in the humanities is incoherent. In this paper, I argue that there needs to be a dedicated discourse for more open research and communication practices in the humanities, one that integrates several elements currently fragmented into smaller, unconnected discourses (such as on open access, preprints, or peer review). I discuss three essential elements of open science—preprints, open peer review practices, and liberal open licences—in the realm of the humanities to demonstrate why a dedicated open humanities discourse is required.


2020 ◽  
Author(s):  
Emily Kate Farran ◽  
Priya Silverstein ◽  
Aminath A. Ameen ◽  
Iliana Misheva ◽  
Camilla Gilmore

Open research is best described as “an umbrella term used to refer to the concepts of openness, transparency, rigor, reproducibility, replicability, and accumulation of knowledge” (Crüwell et al., 2019, p. 3). Although a lot of open research practices have commonly been discussed under the term “open science”, open research applies to all disciplines. If the concept of open research is new to you, it might be difficult for you to determine how you can apply open research practices to your research. The aim of this document is to provide resources and examples of open research practices that are relevant to your discipline. The document lists case studies of open research per discipline, and resources per discipline (organised as: general, open methods, open data, open output and open education).


2018 ◽  
Author(s):  
Tomislav Hengl ◽  
Ichsani Wheeler ◽  
Robert A MacMillan

Using the term "Open data" has become a bit of a fashion, but using it without clear specifications is misleading i.e. it can be considered just an empty phrase. Probably even worse is the term "Open Science" — can science be NOT open at all? Are we reinventing something that should be obvious from start? This guide tries to clarify some key aspects of Open Data, Open Source Software and Crowdsourcing using examples of projects and business. It aims at helping you understand and appreciate complexity of Open Data, Open Source software and Open Access publications. It was specifically written for producers and users of environmental data, however, the guide will likely be useful to any data producers and user.


2021 ◽  
Author(s):  
Adam H. Sparks ◽  
Emerson del Ponte ◽  
Kaique S. Alves ◽  
Zachary S. L. Foster ◽  
Niklaus J. Grünwald

Abstract Open research practices have been highlighted extensively during the last ten years in many fields of scientific study as essential standards needed to promote transparency and reproducibility of scientific results. Scientific claims can only be evaluated based on how protocols, materials, equipment and methods were described; data were collected and prepared; and, analyses were conducted. Openly sharing protocols, data and computational code is central for current scholarly dissemination and communication, but in many fields, including plant pathology, adoption of these practices has been slow. We randomly selected 300 articles published from 2012 to 2018 across 21 journals representative of the plant pathology discipline and assigned them scores reflecting their openness and reproducibility. We found that most of the articles were not following protocols for open science, and were failing to share data or code in a reproducible way. We also propose that use of open-source tools facilitates reproducible work and analyses benefitting not just readers, but the authors as well. Finally, we also provide ideas and tools to promote open, reproducible research practices among plant pathologists.


2018 ◽  
Author(s):  
Tomislav Hengl ◽  
Ichsani Wheeler ◽  
Robert A MacMillan

Using the term "Open data" has become a bit of a fashion, but using it without clear specifications is misleading i.e. it can be considered just an empty phrase. Probably even worse is the term "Open Science" — can science be NOT open at all? Are we reinventing something that should be obvious from start? This guide tries to clarify some key aspects of Open Data, Open Source Software and Crowdsourcing using examples of projects and business. It aims at helping you understand and appreciate complexity of Open Data, Open Source software and Open Access publications. It was specifically written for producers and users of environmental data, however, the guide will likely be useful to any data producers and user.


2017 ◽  
Author(s):  
Vicky Steeves

An open source database and website that lists and maps women who have shown great leadership in open everything -- open education resources, open source, open access, etc.! This repository holds the source code and data for a list of women leaders in openness! This website contains a searchable, sortable list of women who do work in the field of openness: open access, open science, open scholarship, open source code, open data, open education resources -- anything open. There is also a map available for folks who would like to look for women leaders nearest them -- the hope is that this map makes planning conferences, workshops, and events more convenient. The data comes from April Hathcock’s Google Doc and merge requests to this repository.


2021 ◽  
Author(s):  
Eric R. Louderback ◽  
Sally M Gainsbury ◽  
Robert Heirene ◽  
Karen Amichia ◽  
Alessandra Grossman ◽  
...  

The replication crisis has stimulated researchers around the world to adopt open science research practices intended to reduce publication bias and improve research quality. Open science practices include study pre-registration, open data, open publication, and avoiding methods that can lead to publication bias and low replication rates. Although gambling studies uses similar research methods to behavioral research fields that have struggled with replication, we know little about the uptake of open science research practices in gambling-focused research. We conducted a scoping review of 500 recent (1/1/2016 – 12/1/2019) studies focused on gambling and problem gambling to examine the use of open science and transparent research practices. Our results showed that a small percentage of studies used most practices: whereas 54.6% (95% CI: [50.2, 58.9]) of studies used at least one of nine open science practices, each practice’s prevalence was: 1.6% for pre-registration (95% CI:[0.8, 3.1]), 3.2% for open data (95% CI:[2.0, 5.1]), 0% for open notebook, 35.2% for open access (95% CI:[31.1, 39.5]), 7.8% for open materials (95% CI:[5.8, 10.5]), 1.4% for open code (95% CI:[0.7, 2.9]), and 15.0% for preprint posting (95% CI:[12.1, 18.4]). In all, 6.4% (95% CI:[4.6, 8.9]) used a power analysis and 2.4% (95% CI:[1.4, 4.2]) of the studies were replication studies. Exploratory analyses showed that studies that used any open science practice, and open access in particular, had higher citation counts. We suggest several practical ways to enhance the uptake of open science principles and practices both within gambling studies and in science more broadly.


2019 ◽  
Author(s):  
Jonathan Tennant ◽  
Andrew Farke

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.


2015 ◽  
Vol 66 (2-3) ◽  
Author(s):  
Katrin Buschmann ◽  
Stefan Kasberger ◽  
Peter Kraker ◽  
Katja Mayer ◽  
Falk Reckling ◽  
...  

Insbesondere in den letzten zwei Jahren hat Österreich im Bereich Open Science, vor allem was Open Access und Open Data betrifft, nennenswerte Fortschritte gemacht. Die Gründung des Open Access Networks Austria (OANA) und das Anfang 2014 gestartete Projekt e-Infrastructures Austria können als wichtige Grundsteine für den Ausbau einer österreichischen Open-Science-Landschaft gesehen werden. Auch das österreichische Kapitel der Open Knowledge Foundation leistet in den Bereichen Open Science Praxis- und Bewusstseinsbildung grundlegende Arbeit. Unter anderem bilden diese Initiativen die Grundlage für den Aufbau einer nationalen Open-Access-Strategie sowie einer ganz Österreich abdeckenden Infrastruktur für Open Access und Open (Research) Data. Dieser Beitrag gibt einen Überblick über diese und ähnliche nationale sowie lokale Open-Science-Projekte und -Initiativen und einen Ausblick in die mögliche Zukunft von Open Science in Österreich.


Author(s):  
Tomislav Hengl ◽  
Ichsani Wheeler ◽  
Robert A MacMillan

Using the term "Open data" has become a bit of a fashion, but using it without clear specifications is misleading i.e. it can be considered just an empty phrase. Probably even worse is the term "Open Science" — can science be NOT open at all? Are we reinventing something that should be obvious from start? This guide tries to clarify some key aspects of Open Data, Open Source Software and Crowdsourcing using examples of projects and business. It aims at helping you understand and appreciate complexity of Open Data, Open Source software and Open Access publications. It was specifically written for producers and users of environmental data, however, the guide will likely be useful to any data producers and user.


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