scholarly journals Ways to Open Science. Open Research Infrastructures and the role of repositories

2016 ◽  
Author(s):  
Susanne Blumesberger
Keyword(s):  
Open Access ◽  
Open Source ◽  
Peer Review ◽  
Open Source Software ◽  
Peer Review Process ◽  
Open Science ◽  
Free Access ◽  
Data Types ◽  
Access Policies

Watch the VIDEO of the presentation.The Way to Open Science contains many  components. One of these  components would be open repositories based on open source software  with free access to researchers. Open access policies are essential, as are open infrastructures and open contents. Repositories can support this openness by offering open licenses, open metadata , the possibility to use open formats  and open thesauri.  Another principal point is transparency. Open peer review should be possible, and the description of processes should also be transparent. Of course, an open license should provide all data types and metadata as well.It is important to help researchers to make their results visible and accessible and to encourage them to publish in OA-Journals and use repositories for the underlying data. Open Access Policies are supporting these efforts. Open data can be freely used, modified, and shared by anyone for any purpose. In order to do so, Open Licenses are required.Also Metadata are important components of the Way  to Open Science. Metadata are data about data which should be free of all restrictions on access, structured and based on standards.Open formats are defined by a published specification and are not restricted in their use. They are mainly used by open-source software. Open Thesauruses are freely accessible for everyone without costs and with a free license.Open Processes should be documented, transparent, repeatable and reusable.An open peer review process is also  a step  forward to Open Science. Authors and referees are no longer anonymous. The whole process and the decision letters are open.Of course Open licenses allow the reuse of any work or data without any restrictions.The lecture will deal with various aspects of open science and focus on the role of repositories – with all chances and challenges.

scholarly journals pyOpenSci: Open and reproducible research, powered by Python

2021 ◽  
Vol 5 ◽  
Author(s):  
Michael Trizna ◽  
Leah Wasser ◽  
David Nicholson
Keyword(s):  
Open Source ◽  
Peer Review ◽  
Open Source Software ◽  
Best Practice ◽  
Review Process ◽  
Peer Review Process ◽  
Application Programming Interface ◽  
Open Science ◽  
Lessons Learned ◽  
Reproducible Research

pyOpenSci (short for Python Open Science), funded by the Alfred P. Sloan Foundation, is building a diverse community that supports well documented, open source Python software that enables open reproducible science. pyOpenSci will work with the community to openly develop best practice guidelines and open standards for scientific Python software, which will be reinforced through a community-led peer review process and training. Packages that complete the peer review process become a part of the pyOpenSci ecosystem, where maintenance can be shared to ensure longevity and stability in code. pyOpenSci packages are also eligible for a “fast tracked” acceptance to JOSS (Journal of Open Source Software). In addition, we provide review for open science tools that would be of interest to TDWG members but are not within scope for JOSS, such as API (Application Programming Interface) wrappers. pyOpenSci is built on top of the successful model of rOpenSci, founded in 2011, which has fostered the development of several useful biodiversity informatics R packages. The pyOpenSci team looks to following the lessons learned by rOpenSci, to create a similarly successful community. We invite TDWG members developing open source software tools in Python to become part of the pyOpenSci community.

scholarly journals The case for free and open source software in research and scholarship

2021 ◽  
Vol 379 (2197) ◽  
Author(s):  
Laura Fortunato ◽  
Mark Galassi
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Research Process ◽  
Open Science ◽  
Support Staff ◽  
Research Quality ◽  
Open Research ◽  
The Common

Free and open source software (FOSS) is any computer program released under a licence that grants users rights to run the program for any purpose, to study it, to modify it, and to redistribute it in original or modified form. Our aim is to explore the intersection between FOSS and computational reproducibility. We begin by situating FOSS in relation to other ‘open’ initiatives, and specifically open science, open research, and open scholarship. In this context, we argue that anyone who actively contributes to the research process today is a computational researcher, in that they use computers to manage and store information. We then provide a primer to FOSS suitable for anyone concerned with research quality and sustainability—including researchers in any field, as well as support staff, administrators, publishers, funders, and so on. Next, we illustrate how the notions introduced in the primer apply to resources for scientific computing, with reference to the GNU Scientific Library as a case study. We conclude by discussing why the common interpretation of ‘open source’ as ‘open code’ is misplaced, and we use this example to articulate the role of FOSS in research and scholarship today. This article is part of the theme issue ‘Reliability and reproducibility in computational science: implementing verification, validation and uncertainty quantification in silico ’.

scholarly journals Rechtsfragen bei Open Science - Ein Leitfaden

2021 ◽  
Author(s):  
Till Kreutzer ◽  
Henning Lahmann ◽  
Ina Kaulen
Keyword(s):  
Open Access ◽  
Open Source ◽  
Peer Review ◽  
Open Science

Die Digitalisierung ermöglicht eine offene Wissenschaft (Open Science). Diese hat viele Aspekte, insbesondere den freien Zugang zu wissenschaftlichen Veröffentlichungen und Materialien (Open Access), transparente Begutachtungsverfahren (Open Peer Review) oder quelloffene Technologien (Open Source). Das Programm Hamburg Open Science (Laufzeit 2018–2020) unterstützt unter anderem den Kulturwandel in der Wissenschaft. In diesem Kontext entstand der nun vorliegende Leitfaden, der das rechtliche Umfeld greifbar machen soll. Der Leitfaden erarbeitet die betroffenen Rechtsgebiete zunächst systematisch. Im zweiten Teil werden rechtliche Fragen zu Open Science beantwortet, die direkt aus den Universitäten und Bibliotheken kommen. So gelingt eine praxisnahe Aufbereitung und Vermittlung. Autoren des Leitfadens sind Dr. Till Kreutzer, Partner der Kanzlei iRights.Law, und deren wissenschaftlicher Mitarbeiter Henning Lahmann. Die vorliegende zweite, vollständig überarbeitete und erweiterte Auflage ist unter Mitarbeit von Dr. Ina Kaulen, Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, entstanden. Nach seiner ersten Veröffentlichung im Jahr 2019 liegt der Band hiermit nun in einer 2., überarbeiteten und erweiterten Auflage vor.

scholarly journals A brief introduction to Open Data, Open Source Software and Collective Intelligence for environmental data creators and users

2018 ◽  
Author(s):  
Tomislav Hengl ◽  
Ichsani Wheeler ◽  
Robert A MacMillan
Keyword(s):  
Open Access ◽  
Open Source ◽  
Open Source Software ◽  
Collective Intelligence ◽  
Open Data ◽  
Open Science ◽  
Environmental Data ◽  
Key Aspects

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.

The unacknowledged convergence of open source, open access, and open science

First Monday ◽  
2005 ◽  
Author(s):  
John Willinsky
Keyword(s):  
Open Access ◽  
Open Source ◽  
Open Source Software ◽  
Open Science ◽  
Public Access ◽  
Free Software ◽  
Alternative Approach ◽  
Economic Work ◽  
Intellectual Properties ◽  
Reputation Building

A number of open initiatives are actively resisting the extension of intellectual property rights. Among these developments, three prominent instances — open source software, open access to research and scholarship, and open science — share not only a commitment to the unrestricted exchange of information and ideas, but economic principles based on (1) the efficacy of free software and research; (2) the reputation–building afforded by public access and patronage; and, (3) the emergence of a free–or–subscribe access model. Still, with this much in common, the strong sense of convergence among these open initiatives has yet to be fully realized, to the detriment of the larger, common issue. By drawing on David’s (2004; 2003; 2000; 1998) economic work on open science and Weber’s (2004) analysis of open source, this paper seeks to make that convergence all the more apparent, as well as worth pursuing, by those interested in furthering this alternative approach, which would treat intellectual properties as public goods.

scholarly journals A brief introduction to Open Data, Open Source Software and Collective Intelligence for environmental data creators and users

2018 ◽  
Author(s):  
Tomislav Hengl ◽  
Ichsani Wheeler ◽  
Robert A MacMillan
Keyword(s):  
Open Access ◽  
Open Source ◽  
Open Source Software ◽  
Collective Intelligence ◽  
Open Data ◽  
Open Science ◽  
Environmental Data ◽  
Key Aspects

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.

PsyArXiv

2021 ◽  
Vol 23 (2) ◽  
pp. 38-42
Author(s):  
Margie Ruppel
Keyword(s):  
Open Access ◽  
Peer Review ◽  
Review Process ◽  
Peer Review Process ◽  
Grey Literature ◽  
Open Science ◽  
Psychological Science ◽  
Key Features ◽  
Accessibility Issues ◽  
Science Framework

PsyArXiv, an Open Access preprint service, is the only platform in North America dedicated to making psychology and psychological science papers available to scholars, students, and the general public prior to peer review. The Society for the Improvement of Psychological Science operates PsyArXiv; two governing boards provide guidance; and member institutions provide financial support. Key features include an abundance of new scholarship in all areas of psychology, an Open Access infrastructure using the Open Science Framework, and links to associated outputs, thus improving access to research and grey literature. Drawbacks include some accessibility issues and a lack of prominent notices on preprints indicating they have not gone through the peer review process.

scholarly journals From Open Access to Open Science: Audio articles and open-source software in Acta Acustica

Acta Acustica ◽  
2021 ◽  
Vol 5 ◽  
pp. E1
Author(s):  
Manfred Kaltenbacher ◽  
Jean Kergomard ◽  
Anne Ruimy
Keyword(s):  
Open Access ◽  
Open Source ◽  
Open Source Software ◽  
Open 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 brief introduction to Open Data, Open Source Software and Collective Intelligence for environmental data creators and users

2018 ◽  
Author(s):  
Tomislav Hengl ◽  
Ichsani Wheeler ◽  
Robert A MacMillan
Keyword(s):  
Open Access ◽  
Open Source ◽  
Open Source Software ◽  
Collective Intelligence ◽  
Open Data ◽  
Open Science ◽  
Environmental Data ◽  
Key Aspects

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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