214 research outputs found
CSE Webinar: Overview of the Software Citation Guidance for Authors and Journals by the FORCE11 Software Citation Implementation Working Group
No full textCiting software is developing as a common practice. Journals and editors need consistent guidance to provide authors. In this webinar for the Council of Science Editors (CSE), two of the FORCE11 Software Citation Implementation Working Group co-chairs (Daniel S. Katz and Neil P. Chue Hong) discuss the types of software citation, challenges, and recommended approaches. Panelists (Melissa Harrison, August Muench, and Jake Yeston; moderated by Shelley Stall) also share their own experiences around software citation
[CODE] softwaresaved/esrc-software-study: Code release for Zenodo
No full textCode release for Zenodo.Antonioletti, M., Chue Hong, N. P., & Aragon, S. (2022). softwaresaved/esrc-software-study: Code release for Zenodo (v1.0). Zenodo. https://doi.org/10.5281/zenodo.808630
RSEs in HPC Centers: Funding, Coordinating, Doing
No full text<p>Research Software Engineering (RSEng) as a professional designation has grown over the last 10+ years in industry, academia, and government sectors. Within HPC centers, Research Software Engineers (RSE) fill the role of combining software engineering expertise with the in-depth process of participating in and applying research. In this panel, we invite practicing RSEs, funders, university, and HPC center leaders who are experienced and dedicated to Research Software Engineering to present their varying perspectives on funding, managing, and doing RSEng within worldwide HPC centers. The moderator is Daniel S. Katz (Chief Scientist, NCSA; co-founder, US-RSE), and panelists are Gabrielle Allen (Director, School of Computing, University of Wyoming), Neil Chue Hong (EPCC, University of Edinburgh; Director, Software Sustainability Institute), Alison Kennedy (Strategic Advisor, UK Research and Innovation), Fabio Kon (Special Advisor, São Paulo Research Foundation), and Miranda Mundt (RSE, Sandia National Laboratories; Steering Committee Member, US-RSE).</p>
Software and skills for research computing in the UK
Full text linkSoftware and the people who produce it have revolutionised the way that research is conducted, pervading all aspects of the research lifecycle. These emerging tools and techniques require new skills and, often, new forms of research collaboration that combine a variety of professional capabilities. This report delivers a better understanding of the software and skills required in order for research computing in the UK to respond to the challenges it faces over the next five years across three overlapping levels: people, infrastructure, and policy.This study has been funded through the UKRI Digital Research Infrastructure programme, and will contribute to the development of national programmes. It was undertaken between December 2021 and August 2022 by the Software Sustainability Institute, with researchers based at the University of Edinburgh and the University of Southampton, in collaboration with Dr Michelle Barker
Addressing Research Software Sustainability via Institutes
Full text linkResearch software is essential to modern research, but it requires ongoing human effort to sustain: to continually adapt to changes in dependencies, to fix bugs, and to add new features. Software sustainability institutes, amongst others, develop, maintain, and disseminate best practices for research software sustainability, and build community around them. These practices can both reduce the amount of effort that is needed and create an environment where the effort is appreciated and rewarded. The UK SSI is such an institute, and the US URSSI and the Australian AuSSI are planning to become institutes, and this extended abstract discusses them and the strengths and weaknesses of this approach
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The Challenge of Communicating Computational Research
No full textComputational approaches to scholarship have revolutionized how research is done but have at the same time complicated the process of disseminating the results of that research. Conclusions may be produced using mathematical models or custom software that are not easily accessible to, or reproducible by, those outside the research team. And in some fields, a lack of understanding of computational approaches may lead to skepticism about their use. The panel considers urgent questions faced by researchers across the range of academic disciplines. How can scientists and social scientists address the lack of access to the software and code used to produce many research results, which has led to a crisis of verifiability and concern about the accuracy of the scientific record? How can digital humanists approach discussions of computational methods, which may not fit into traditional forms of scholarship and can be viewed with suspicion in disciplines that prize the art of scholarly analysis? Computational researchers are examining communication practices, policies, and tools that promise to more effectively convey their research process and the results it produces. The panelists are: Neil Chue Hong, Director of the Software Sustainability Institute; Matthew L. Jockers, Assistant Professor of English at the University of Nebraska-Lincoln; and Daniel P. W. Ellis, Associate Professor of Electrical Engineering at Columbia University
How to choose a license for your software
No full text<p>This talk was presented at the: Licensing, Sharing and funding council policy workshop - learn and ask - 14 September 2015 in Cambridge.</p>
<p>http://www.software.ac.uk/news/2015-08-14-licensing-sharing-and-funding-council-policy-workshop-learn-and-ask-14-september-201</p>
<p>The meeting was organised by Marta Teperek from the Research Operations Office, University of Cambridge.</p>
Report on the Second Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE2)
No full textThis technical report records and discusses the Second Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE2). The report includes a description of the alternative, experimental submission and review process, two workshop keynote presentations, a series of lightning talks, a discussion on sustainability, and five discussions from the topic areas of exploring sustainability; software development experiences; credit & incentives; reproducibility & reuse & sharing; and code testing & code review. For each topic, the report includes a list of tangible actions that were proposed and that would lead to potential change. The workshop recognized that reliance on scientific software is pervasive in all areas of world-leading research today. The workshop participants then proceeded to explore different perspectives on the concept of sustainability. Key enablers and barriers of sustainable scientific software were identified from their experiences. In addition, recommendations with new requirements such as software credit files and software prize frameworks were outlined for improving practices in sustainable software engineering. There was also broad consensus that formal training in software development or engineering was rare among the practitioners. Significant strides need to be made in building a sense of community via training in software and technical practices, on increasing their size and scope, and on better integrating them directly into graduate education programs. Finally, journals can define and publish policies to improve reproducibility, whereas reviewers can insist that authors provide sufficient information and access to data and software to allow them reproduce the results in the paper. Hence a list of criteria is compiled for journals to provide to reviewers so as to make it easier to review software submitted for publication as a “Software Paper.
Open science is impossible without software
No full text<p>In a 2014 survey of UK research-intensive universities, 92% of<br />
researchers said they used research software and 68% said their<br />
research would be impossible without software. Yet the sharing and<br />
sustainability of research software is often forgotten in the debate<br />
about Open Science, Open Access and Open Data, despite the visibility<br />
of the open source software movement. One of the largest challenges is<br />
overcoming the barriers to sharing software: something which requires<br />
the involvement of research communities, and a change to the cultural<br />
norms.</p>
<p>Talk given at the Netherlands 2016 EU Presidency Open Science Conference, Amsterdam.</p>
Making software FAIR
No full textResearch Is now reliant on software, but this software is not as findable, accessible, interoperable and reusable as it could be. In this lecture I will discuss some of the reasons why people are reluctant to invest effort in reusability, introduce the FAIR Principles for Research Software and how to implement them, and explain why making software FAIR supports Open Science, improves reproducibility and is beneficial to the developer.
Part of the CERN Academic Training Lecture Series.</p
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