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A Survey on Reproducibility in Parallel Computing arXiv:1511.04217v1 cs. DC 13 Nov 2015 Sasha Hun old Vienna University of Technology Faculty of Informatics Research Group for Parallel Computing Favoritenstrae
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How to fill out a survey on reproducibility:

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Start by reading the survey questions carefully and understanding their purpose. Make sure you comprehend what is being asked before proceeding.
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Provide honest and accurate responses to each question. Avoid guessing or making assumptions. If you are uncertain about a particular question, it is acceptable to indicate that you do not know or that the question is not applicable to you.
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Take your time to reflect on each question and consider your personal experiences or knowledge related to reproducibility. This may involve recalling specific instances or examples where reproducibility has been a challenge or identifying areas where improvements can be made.
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If the survey includes open-ended questions or opportunities for further comments, take advantage of these sections to provide more detailed explanations or additional insights. These can greatly enhance the richness of the survey responses and provide valuable context for researchers analyzing the data.

Who needs a survey on reproducibility:

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Researchers: Surveys on reproducibility are particularly important for researchers who aim to understand the current state of reproducibility in their field or specific research projects. By collecting data through surveys, researchers can gain insights into the challenges and potential solutions related to reproducibility and work towards improving scientific practices.
02
Funding Agencies: Funding agencies have a vested interest in ensuring that the research they support is reproducible. Surveys on reproducibility can help funding agencies assess the impact and effectiveness of their funding strategies, identify areas of improvement, and make informed decisions on future funding allocations.
03
Journal Editors and Publishers: Journals and publishers play a crucial role in promoting reproducibility in scientific research. Surveys on reproducibility can provide editors and publishers with valuable information on the level of reproducibility in published studies, highlight areas for improvement in their editorial processes, and guide the development of policies and guidelines to enhance reproducibility.
04
Policy Makers and Funding Bodies: Governments and other policy-making bodies are increasingly recognizing the importance of reproducibility in scientific research. Surveys on reproducibility can inform policy decisions and help shape regulations, guidelines, and standards that promote transparency, openness, and reproducibility in the scientific community.
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Research Institutions and Universities: Surveys on reproducibility can assist research institutions and universities in assessing the training and support they provide to researchers in terms of reproducibility practices. By understanding the needs and challenges faced by their researchers, institutions can develop tailored strategies to foster a culture of reproducibility and enhance the quality and integrity of their research output.
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A survey on reproducibility is a questionnaire or form designed to assess the ability of a study or experiment to be replicated or reproduced by others.
Researchers, scientists, or organizations conducting studies or experiments that are subject to reproducibility requirements may be required to file a survey on reproducibility.
To fill out a survey on reproducibility, one typically needs to provide detailed information about the methods, data, and results of a study or experiment, as well as any other relevant details requested in the survey form.
The purpose of a survey on reproducibility is to assess the trustworthiness and reliability of scientific research by evaluating the replicability of study findings and methods.
Typically, a survey on reproducibility may require information on study design, methodology, data sources, statistical analysis, results, and any other factors relevant to the reproducibility of the study.
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