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

Author(s):  
John Willinsky

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.

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.


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.


2016 ◽  
Author(s):  
Susanne Blumesberger

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.


Acta Acustica ◽  
2021 ◽  
Vol 5 ◽  
pp. E1
Author(s):  
Manfred Kaltenbacher ◽  
Jean Kergomard ◽  
Anne Ruimy

2020 ◽  
Author(s):  
Jonathan Tennant

Open Science has become commonly understood in terms of its practices. Open Access, Open Data, and Open Source software are all becoming commonplace in academia. However, unlike the Free and Open Source Software movement, Open Science seems to have become largely divorced from its pluralistic philosophical and ethical foundations, which seem to have reignited from the humanities at the turn of the Millennium. To close this gap, I propose a new value-based proposition for Open Science, that is akin to the “four fundamental freedoms” of Richard Stallman that catalysed the Free Software movement. In doing so, I hope to provide a more common, unified, and human understanding to notions of openness in science.


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.


ABI-Technik ◽  
2018 ◽  
Vol 38 (3) ◽  
pp. 223-233
Author(s):  
Barbara Hirschmann

ZusammenfassungIm Sommer 2017 lancierte die ETH-Bibliothek nach rund dreijähriger Projektphase die Research Collection, eine neue Publikationsplattform für die Forschenden an der ETH Zürich. Die Plattform vereint die Funktionen einer Hochschulbibliographie, eines Open-Access-Repository und eines Forschungsdaten-Repository unter einem Dach. Sie wurde auf Basis der Open-Source-Software DSpace implementiert und löste zugleich zwei Vorgängersysteme ab. Heute ist die Research Collection ein zentraler Baustein innerhalb der hochschulweiten Informationsinfrastruktur der ETH Zürich.


Author(s):  
Heidi Lee Schnackenberg

The phrase “open source” is not something often heard in everyday conversation. However, the idea of downloadable, free software, particularly mobile applications, or “apps,” has become quite commonplace. Individuals often download free products, grateful that they are available and will potentially work well, without thinking where they originate or why they even exist. Not so long ago, most things associated with computers available to the general population came at a cost and were available from only a few vendors. This is no longer the case thanks to the ever-increasing availability and popularity of open source software, operating systems, and applications.


2012 ◽  
Vol 3 (2) ◽  
pp. 1-5
Author(s):  
Ken Hartness

Although open source software has existed, in a sense, throughout the history of computing, it has only more recently become recognized as a valid means of producing professional-quality software. Although primarily conceived as a zero-cost alternative to commercial software, open source software also supports customization and verification as a result of the software being available to all users in human-readable form. The availability of free software supports both researchers with limited budgets and those who seek to confirm the findings of researchers or use similar methods in related research.


Author(s):  
D. Berry

Open source software (OSS) is computer software that has its underlying source code made available under a licence. This can allow developers and users to adapt and improve it (Raymond, 2001). Computer software can be broadly split into two development models: • Proprietary, or closed software, owned by a company or individual. Copies of the binary are made public; the source code is not usually made public. • Open-source software (OSS), where the source code is released with the binary. Users and developers can be licenced to use and modify the code, and to distribute any improvements they make. Both OSS and proprietary approaches allow companies to make a profit. Companies developing proprietary software make money by developing software and then selling licences to use the software. For example, Microsoft receives a payment for every copy of Windows sold with a personal computer. OSS companies make their money by providing services, such as advising clients on the GPL licence. The licencee can either charge a fee for this service or work free of charge. In practice, software companies often develop both types of software. OSS is developed by an ongoing, iterative process where people share the ideas expressed in the source code. The aim is that a large community of developers and users can contribute to the development of the code, check it for errors and bugs, and make the improved version available to others. Project management software is used to allow developers to keep track of the various versions. There are two main types of open-source licences (although there are many variants and subtypes developed by other companies): • Berkeley Software Distribution (BSD) Licence: This permits a licencee to “close” a version (by withholding the most recent modifications to the source code) and sell it as a proprietary product; • GNU General Public Licence (GNU, GPL, or GPL): Under this licence, licencees may not “close” versions. The licencee may modify, copy, and redistribute any derivative version, under the same GPL licence. The licencee can either charge a fee for this service or work free of charge. Free software first evolved during the 1970s but in the 1990s forked into two movements, namely free software and open source (Berry, 2004). Richard Stallman, an American software developer who believes that sharing source code and ideas is fundamental to freedom of speech, developed a free version of the widely used Unix operating system. The resulting GNU program was released under a specially created General Public Licence (GNU, GPL). This was designed to ensure that the source code would remain openly available to all. It was not intended to prevent commercial usage or distribution (Stallman, 2002). This approach was christened free software. In this context, free meant that anyone could modify the software. However, the term “free” was often misunderstood to mean no cost. Hence, during the 1990s, Eric Raymond and others proposed that open-source software was coined as a less contentious and more business-friendly term. This has become widely accepted within the software and business communities; however there are still arguments about the most appropriate term to use (Moody, 2002). The OSMs are usually organised into a network of individuals who work collaboratively on the Internet, developing major software projects that sometimes rival commercial software but are always committed to the production of quality alternatives to those produced by commercial companies (Raymond, 2001; Williams, 2002). Groups and individuals develop software to meet their own and others’ needs in a highly decentralised way, likened to a Bazaar (Raymond, 2001). These groups often make substantive value claims to support their projects and foster an ethic of community, collaboration, deliberation, and intellectual freedom. In addition, it is argued by Lessig (1999) that the FLOSS community can offer an inspiration in their commitment to transparency in their products and their ability to open up governmental regulation and control through free/libre and open source code.


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