1,458 research outputs found
Center for Reproducible Science and Research Synthesis (CRS) at UZH
Resources related to reproducibility such as teaching materials, tools, journals, code, etc. provided by the Center for Reproducible Science and Research Synthesis (CRS) at the University of Zurich (UZH)
Center for Open Science; Reproducible Research Lecture/Workshop
Courtney Soderberg, from the Center for Open Science, gives a lecture/workshop reproducible research
The Center for Reproducible Science at the University of Zurich
The history of the Center for Reproducible Science at the University of Zurich
Reproducible Science
45 minute talk given at a workshop on Reproducible Science at the University of Idaho, organized by the Center for Modeling Complex Interactions
Methods for Open and Reproducible Materials Science
Data stewardship in experimental materials science is increasingly complex and important. Progress in data science and inverse-design of materials give reason for optimism that advances can be made if appropriate data resources are made available. Data stewardship also plays a critical role in maintaining broad support for research in the face of well-publicized replication failures (in different fields) and frequently changing attitudes, norms, and sponsor requirements for open science. The present-day data management practices and attitudes in materials science are not well understood. In this article, we collect information on the practices of a selection of materials scientists at two leading universities, using a semi-structured interview instrument. An analysis of these interviews reveals that although data management is universally seen as important, data management practices vary widely. Based on this analysis, we conjecture that broad adoption of basic file-level data sharing at the time of manuscript submission would benefit the field without imposing substantial burdens on researchers. More comprehensive solutions for lifecycle open research in materials science will have to overcome substantial differences in attitudes and practices
Reproducible research and GIScience: an evaluation using AGILE conference papers
The demand for reproducible research is on the rise in disciplines concerned with
data analysis and computational methods. Therefore, we reviewed current recommendations
for reproducible research and translated them into criteria for assessing the
reproducibility of articles in the field of geographic information science (GIScience).
Using this criteria, we assessed a sample of GIScience studies from the Association
of Geographic Information Laboratories in Europe (AGILE) conference series, and
we collected feedback about the assessment from the study authors. Results from the
author feedback indicate that although authors support the concept of performing
reproducible research, the incentives for doing this in practice are too small. Therefore,
we propose concrete actions for individual researchers and the GIScience conference
series to improve transparency and reproducibility. For example, to support researchers
in producing reproducible work, the GIScience conference series could offer awards
and paper badges, provide author guidelines for computational research, and publish
articles in Open Access formats
Summary of the First Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE1)
Challenges related to development, deployment, and maintenance of reusable software for science are becoming a growing concern. Many scientists’ research increasingly depends on the quality and availability of software upon which their works are built. To highlight some of these issues and share experiences, the First Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE1) was held in November 2013 in conjunction with the SC13 Conference. The workshop featured keynote presentations and a large number (54) of solicited extended abstracts that were grouped into three themes and presented via panels. A set of collaborative notes of the presentations and discussion was taken during the workshop.
Unique perspectives were captured about issues such as comprehensive documentation, development and deployment practices, software licenses and career paths for developers. Attribution systems that account for evidence of software contribution and impact were also discussed. These include mechanisms such as Digital Object Identifiers, publication of “software papers”, and the use of online systems, for example source code repositories like GitHub. This paper summarizes the issues and shared experiences that were discussed, including cross-cutting issues and use cases. It joins a nascent literature seeking to understand what drives software work in science, and how it is impacted by the reward systems of science. These incentives can determine the extent to which developers are motivated to build software for the long-term, for the use of others, and whether to work collaboratively or separately. It also explores community building, leadership, and dynamics in relation to successful scientific software
Two days workshop 2020: Design And Analysis Of Replication Studies
A workshop by the Center for Reproducibility Science (CRS) on January 22-24 2020 in Zurich
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