reproducible research workshop

WWU workshop on Reproducible Research 19 Feb 2020 | By Daniel Nüst Reproducible research is a topic relevant for all scientific disciplines. Shell 3 31 13 0 Updated Jul 12, 2015 2015-05-14-duke-materials Join us for a workshop series this fall covering techniques for reproducible research using R! We are working hard to ensure it is reusable, extensible and customisable. We propose you to submit the source code used to generate the results/figures of your accepted paper. All languages and libraries are accepted. Below are upcoming workshops or courses that will happen on Campus this Winter/Spring 2020. Speaker: Rob Schick. The sciences have with reproducibility problem (Nature article Many published studies cannot be reproduced) Appreciate the power of convention! We would also like to hear how we can improve the site. You will learn how to: I am also very motivated to attend to the Reproducibility Workshop. A group of volunteers across the globe who are developing resources and teaching workshops to enable researchers to do reproducible research. The main aim of this workshop is to set you on the right path of making your research more reproducible and shariable. Have some questions about our initiative or how to get involved. Complete this form to let us know you’re interested in organising an event so that we can provide some basic support. a (set of) script file(s) allowing to install and execute your code, a link or a reference to the original associated paper, Submission deadline: November 24th (will be reviewed by submission order). Reproducible Research Workshop. We only follow the README instructions to compile the source code and execute the script(s)/binaries. You just need to precise the used versions. Welcome to the Reproducible Research in R (RRR) workshop. If they are consistent, we will deliver to you the Reproducible Label and your source code will be indexed by the Label Repository. We in the o2r project have a continued focus on the challenges originating in the software stacks and visualialisations for the analysis of geospatial data. Presentations, Tutorials, Posters, Recordings, R4E to expand the reach of community-led reproducibility education with support from the Chan Zuckerberg Initiative, Reproducibility for Everyone: Lessons from an Open Science Collaboration, Levelling Up: Reproducibility for Everyone, Encouraging diligent research reporting: A conversation with Dr. Lenny Teytelman, Experimental Reproducibility 101 - Part III, Experimental Reproducibility 101 - Part II, Experimental Reproducibility 101 - Part I. Here are some quick responses, but you can also find more comprehensive answers elsewhere in the website or contact us. Yes, absolutely! This tutorial in the context of the Reproducible Research Workshop provides you with the first steps on how to use Git with the Eclipse IDE. In this case, we will synchonize your submissions in a unique review process. For the second time, a reproducibility review will be conducted with tentatively accepted full papers. We welcome contributions and feedback. In this series, we introduce computational reproducibility and its importance to modern research. There will be presentations each morning from Monday, November 16th – Friday, November 20th. Find out where we'll be next, or organise a workshop or online event. Then we will compare the obtained results with the results of your paper. We will focus on issues social scientists often encounter when using data in R. My own goal: all analyses are scripted: tables, figures, parameter values in the manuscript. Over the past two years we've had great feedback from workshop participants and collaborators. This workshop is co-sponsored by the UW eScience Special Interest Group on Reproducible Research and Open Source Software and the UW Libraries. Introductory level workshops familiarize participants with the rationale for and benefits of investing in reproducible research, as well as popular tools for increasing transparency, efficiency and reproducibility. The workshop covered methodological topics (such as the use of the Open Science Framework and reporting guidelines) as well as software tools (such as Git, Docker, RMarkdown / knitr and Jupyter). Yes. Your submission will be reviewed, i.e. Reproducible Research @ AGILE '21 Reproducibility review. In June 2014, the Roundtable on Science and Welfare in Laboratory Animal Use organized a public workshop to discuss fundamental aspects of experimental design of research using animals and animal models, aimed at improving reproducibility. Workshop 1 Open Research and Reproducibility In this workshop I will first introduce you to the key concepts in open research, and talk about the so-called “replication crisis” in the Psychological, Biomedical, and Life Sciences that has resulted in the Open Research movement. All our resources are made available under open licenses. This workshop will introduce foundational data management strategies that can increase the reproducibility of your work. containing: To apply, follow this link (requires a Github account). In this one-day workshop, learn how open tools like R Markdown, Jupyter Notebooks, Git and GitHub can help make your research reproducible. This workshop: Discuss standard research practices that are detrimental to scientific ideals Offer practical solutions to improve reproducibility and impact of one's own work. Software Carpentry + … The AGILE conference 2021 will be a fully virtual conference. Concerning the operating systems, your code must compile on at least one of the followings: Can I apply for a short paper about the reproducibility of my code? This is a major advantage for other researchers wanting to compare their works to yours: the label guarantees that the comparisons are performed with the author implementation used in the corresponding paper. Reproducible research means that future you and anyone else will be able to pick up your analysis and reproduce the same results, including figures and tables. a README.md file containing all compilation instructions. AGILE short paper postprints AGILE reproducibility review 2020 Who can apply for? Reproducible Research: Tips and Tools The importance of reproducibility, replication, and transparency in the research endeavor is increasingly discussed in academia. Eclipse is heavily used to program in Java, as well as in other languages like C++, and even Python (via PyDev). R is a popular tool for data analysis and statistical computing, and is a great alternative to tools like SPSS, Stata, or Excel. Reproducibility for Everyone is a community driven initiative and we welcome anyone to contribute, update, and add to materials. Unless otherwise noted, all material is copyright Resul Umit, licensed CC-BY-SA 3.0. Visit our contribution pages to see all the ways in which you can join our reproducibility efforts. Attendees are not required to attend every morning, but we build on material taught throughout the workshop. Location: Trent Semans Center for Health Education, Room 4067. 2.1. This Introduction to R workshop is for people who want to learn this data analysis tool but have little or no experience in any programming languages. Contributors: Instructors, helpers, and participants of the course. This repository has teaching materials for a 3 hour, hands-on Reproducible Research using R workshop led at a relaxed pace. Janelia Research Campus is HHMI’s pioneering research center in Ashburn, Virginia, where scientists pursue fundamental neuroscience and imaging in a uniquely innovative, collaborative atmosphere. R (and other languages) can be used through the amazing RStudio interface for even more performance, ease and Reproducible Research. Please let us know if you find broken links, typos, or grammatical errors. The Reproducible Label proposes to make profitable your efforts in software development in order to valorize your research results. Alll authors of an accepted paper at RRPR, ICPR or any ICPR workshop. By the end of the workshop, you should be able to: Be able to Create a Research Compendium to manage and share resources associated with an academic publication. There is a high demand for the use of new mechanisms for sharing code, data, environments and making the scientific workflow more reproducible and flexible to move to new platforms. As researcher with a paper accepted to ICPR or one of its workshops, you had probably devote a part of your time to write code. The label is a proof that your work can be reproduced, we will compare the obtained results with the results of your paper, RRPR 2020 : Third Workshop on Reproducible Research in Pattern Recognition. stock images from Pixabay. In this workshop we will learn to generate dynamic documents using RMarkdown that weave together reporting text with executable R code to generate beautiful data analysis reports that are accessible by a wide audience. Be able to produce a reproducible manuscript from a single rmarkdown document. • AMP 2011 “Reproducible Research: Tools and Strategies for Scientific Computing”! Alll authors of an accepted paper at RRPR, ICPR or any ICPR workshop. Workshop bringing together individuals interested in developing curriculum, workflows, and tools to strengthen reproducibility in research. A group of volunteers across the globe who are developing resources and teaching workshops to enable researchers to do reproducible research. The first half of this 3-hour workshop will focus on some basic concepts of coding and the second half will have several hands-on activities to learn basic R skills, such as installing R packages, importing and exploring data. Lack of reproducibility in scientific works is a matter of concern for all the community. This lack of reproducible research impacts scientific progress and public perceptions of scientific research results, and wastes billions of dollars of publicly-funded research. Here is what they say... Hey @BenjaminSchwessinger and @anelda.vdwalt and all the others contributing to the recent call, Thanks a lot for the amazing work, its a fabulous transformation to have a branded slide deck. Thereby, it is also a major advantage for you to be compared and cited by your colleagues. October Workshops; Upcoming Workshops; Plotting and Programming in Python for WISP students workshop series – 1/25, 2/1, 2/8; IBM Research Quantum Computing @Programming N’Pizza – Jan. 22, 6 … Add this event to your calendar: Thu, 2015-04-30 08:03-- maphillips. Workshops offered on research reproducibility and data management using RStudio October 23, 2020 UNIVERSITY PARK — Penn State University Libraries is presenting a series of free virtual workshops Nov. 3–17 on research reproducibility and data management using RStudio. Learning objectives for this workshop:¶ Understand the concept, importance, and components of reproducible research. Reproducible Research: The CISE directorate has issued a Dear Colleague Letter on improving the reproducibility of research in communication and computing systems. January 23, 2020 | 9:00 am to 4:00 pm. Workshop on Reproducible Research with Git, Github, R, and RStudio. Let us know what should be added or get involved and contribute. About the Workshop Series. The Reproducible Label proposes to make profitable your efforts in software development in order to valorize your research results. For the first time, the reproducibility guidelines will be mandatory. All general icons from iconmonstr, Country flag icons made by Freepik Reproducible research with workflowr workflowr version 1.6.2 John Blischak 2020-04-30 Source: vignettes/wflow-09-workshop.Rmd New! DSL regularly hosts workshops. Taught as an in-person or remote event, this five-day immersive workshop is designed to help researchers stay abreast of current best practices and initiatives and get started on acquiring good data science skills to maximize their productivity, share their data with the scientific community effectively and efficiently, and benefit from the re-use of their data by others. • Open Science Framework / Reproducibility Project in Psychology! The skills covered in this workshop series are ideal for graduate students in computationally-intensive fields, or any researcher … • AMP / ICIAM 2011 “Community Forum on Reproducible Research Policies”! Yes, please! This workshop will teach you how to get started using R to explore and clean your data. Reproducible Research @ AGILE This website is home of workshops and an AGILE INITIATIVE on the topic of Reproducible Research in connection with the Association of Geographic Information Laboratories in Europe’s (AGILE) annual conference series. With this workshop I hope to have the tools to contribute to the reduction of this worldwide problem. Most of them are free or low nominal fee. “Reproducible Research” is Grassroots • reproducibility@XSEDE: An XSEDE14 Workshop! Spring 2020 Online Reproducible Research Workshops! This repository holds the materials for a workshop on writing reproducible research papers with R Markdown, first taught at Campus Luzern in March 2020. CC 3.0 BY and For more information, please see our section on how to contribute. All our materials is available under open licenses and we even provide a guide to help you organise your workshop. To facilitate registration I have also added these workshops on the BCRF CALENDAR. we will try to compile them and to execute them by following your instructions. In practice, showcase an example of transparent and reproducible research, using existing tools. Advanced workshops build on the techniques and tools taught in DSL courses and introductory workshops. You can apply for the "Call for Short Paper" (see Home) in parrallel of the Reproducible Label. Reproducible Research using RMarkdown Learn to share your data analysis with future you and with the world. This tutorial in the context of the Reproducible Research Workshop provides you with the first steps on how to write publications in R. Objectives of this tutorial: Installation and setup of R, RStudio and Miktex Load a template project to RStudio (or fork it from GitHub, see part 4 of the Git with RStudio tutorial) Generate an example report as an HTML, Word or $\LaTeX$ (Latex) document Generate a sample … R is free and designed for reproducible research. A 3-day workshop for researchers introducing modern and reproducible data analysis tools and workflows with R. ... Reproducible Research in R An introductory workshop on modern data analyses and workflows. Reproducible research is as important for computational analysis as it is at the bench. We've also had a huge interest from people to attend our workshops and info sessions. More and more scientists are asked to conduct their research in a reproducible fashion. Reproducible research The original data (and original computer code) can be analyzed by an independent investigator to obtain the same results of the original study. The label proposed by the RRPR committee is an additional recognition of the work presented at the ICPR conference and ICPR Workshops. You need to provide an URL of a public git repository (Github, Gitlab, etc.) ECMWF's research and operational activities are computationally expensive and constantly need to scale further with new requirements and challenges. Writing Reproducible Research Papers with R Markdown. the source code allowing to reproduce all experiments and/or figures of your paper. Note that the source code is NOT reviewed. from www.flaticon.com is licensed by © Copyright 2020 Reproducibility for Everyone - Customised by Talarify - Template by Themeix. We will teach the general principles for reproducible computer-based analyses, along with specific methods and tools for reproducibility and version control with RStudio and GitHub. Understand the basics of managing code as an R package. Making science more reproducible has the potential to advance scientific research and make researchers' work more effective and productive. The label is a proof that your work can be reproduced from the git repository that will be indexed by RLPR. We can also often be found at conferences. Workshop description. Reproducibility for Everyone produces resources to help grow researchers' awareness of and ability to do reproducible research. We regularly run in-person or online events at institutions across the globe. This workshop provided an overview of current status in reproducible analysis in order to provide transparency in research. Guidelines will be indexed by RLPR please let us know what should be added or get involved reproducibility @:... Impacts scientific progress and public perceptions of scientific research and make researchers ' awareness and. Introduce foundational data management strategies that can increase the reproducibility workshop publicly-funded research about. 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Campus this Winter/Spring 2020 ’ re interested in developing curriculum, workflows, and add materials. Or contact us science more reproducible and shariable ability to do reproducible.! Are computationally expensive and constantly need to provide an URL of a git! An URL of a public git repository ( Github, Gitlab, etc. the... Also like to hear how we can improve the site Colleague Letter on improving the of! From people to attend our workshops and info sessions research and operational activities are computationally and! All analyses are scripted: tables, figures, parameter values in the manuscript execute the script ( ). €œReproducible Research” is Grassroots • reproducibility @ XSEDE: an XSEDE14 workshop alll authors of accepted! You the reproducible Label will introduce foundational data management strategies that can increase the of. 13 0 Updated Jul 12, 2015 2015-05-14-duke-materials reproducible research workshop on reproducible research: the directorate. 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