Complete this form to let us know you’re interested in organising an event so that we can provide some basic support. If they are consistent, we will deliver to you the Reproducible Label and your source code will be indexed by the Label Repository. For the second time, a reproducibility review will be conducted with tentatively accepted full papers. Reproducible Research @ AGILE '21 Reproducibility review. 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. You will learn how to: 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. © Copyright 2020 Reproducibility for Everyone - Customised by Talarify - Template by Themeix. My own goal: all analyses are scripted: tables, figures, parameter values in the manuscript. This workshop is co-sponsored by the UW eScience Special Interest Group on Reproducible Research and Open Source Software and the UW Libraries. This repository holds the materials for a workshop on writing reproducible research papers with R Markdown, first taught at Campus Luzern in March 2020. The Reproducible Label proposes to make profitable your efforts in software development in order to valorize your research results. We propose you to submit the source code used to generate the results/figures of your accepted paper. The AGILE conference 2021 will be a fully virtual conference. • Open Science Framework / Reproducibility Project in Psychology! 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. Let us know what should be added or get involved and contribute. CC 3.0 BY and Contributors: Instructors, helpers, and participants of the course. Location: Trent Semans Center for Health Education, Room 4067. 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. You need to provide an URL of a public git repository (Github, Gitlab, etc.) We will focus on issues social scientists often encounter when using data in R. Speaker: Rob Schick. 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. All languages and libraries are accepted. I am also very motivated to attend to the Reproducibility Workshop. You can apply for the "Call for Short Paper" (see Home) in parrallel of the Reproducible Label. In this one-day workshop, learn how open tools like R Markdown, Jupyter Notebooks, Git and GitHub can help make your research reproducible. A group of volunteers across the globe who are developing resources and teaching workshops to enable researchers to do reproducible research. This workshop will introduce foundational data management strategies that can increase the reproducibility of your work. For the first time, the reproducibility guidelines will be mandatory. • AMP / ICIAM 2011 “Community Forum on Reproducible Research Policies”! 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. Over the past two years we've had great feedback from workshop participants and collaborators. Reproducibility for Everyone is a community driven initiative and we welcome anyone to contribute, update, and add to materials. 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 … January 23, 2020 | 9:00 am to 4:00 pm. 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? containing: To apply, follow this link (requires a Github account). Country flag icons made by Freepik 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. the source code allowing to reproduce all experiments and/or figures of your paper. All our materials is available under open licenses and we even provide a guide to help you organise your workshop. Workshop description. from www.flaticon.com is licensed by We've also had a huge interest from people to attend our workshops and info sessions. Eclipse is heavily used to program in Java, as well as in other languages like C++, and even Python (via PyDev). DSL regularly hosts workshops. Visit our contribution pages to see all the ways in which you can join our reproducibility efforts. The main aim of this workshop is to set you on the right path of making your research more reproducible and shariable. This repository has teaching materials for a 3 hour, hands-on Reproducible Research using R workshop led at a relaxed pace. a README.md file containing all compilation instructions. Reproducibility for Everyone produces resources to help grow researchers' awareness of and ability to do reproducible research. 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 … Attendees are not required to attend every morning, but we build on material taught throughout the workshop. stock images from Pixabay. Alll authors of an accepted paper at RRPR, ICPR or any ICPR workshop. Advanced workshops build on the techniques and tools taught in DSL courses and introductory workshops. Reproducible Research: The CISE directorate has issued a Dear Colleague Letter on improving the reproducibility of research in communication and computing systems. 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. • AMP 2011 “Reproducible Research: Tools and Strategies for Scientific Computing”! Unless otherwise noted, all material is copyright Resul Umit, licensed CC-BY-SA 3.0. All our resources are made available under open licenses. Reproducible research is as important for computational analysis as it is at the bench. Yes, please! Reproducible Research Workshop. About the Workshop Series. The label is a proof that your work can be reproduced from the git repository that will be indexed by RLPR. 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). Workshop on Reproducible Research with Git, Github, R, and RStudio. 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. We welcome contributions and feedback. Please let us know if you find broken links, typos, or grammatical errors. Welcome to the Reproducible Research in R (RRR) workshop. Your submission will be reviewed, i.e. Be able to produce a reproducible manuscript from a single rmarkdown document. In this series, we introduce computational reproducibility and its importance to modern research. This workshop will teach you how to get started using R to explore and clean your data. Thereby, it is also a major advantage for you to be compared and cited by your colleagues. Software Carpentry + … 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. Yes, absolutely! 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. we will try to compile them and to execute them by following your instructions. The skills covered in this workshop series are ideal for graduate students in computationally-intensive fields, or any researcher … R is a popular tool for data analysis and statistical computing, and is a great alternative to tools like SPSS, Stata, or Excel. Lack of reproducibility in scientific works is a matter of concern for all the community. Here are some quick responses, but you can also find more comprehensive answers elsewhere in the website or contact us. 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. 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). Alll authors of an accepted paper at RRPR, ICPR or any ICPR workshop. This workshop provided an overview of current status in reproducible analysis in order to provide transparency in research. More and more scientists are asked to conduct their research in a reproducible fashion. AGILE short paper postprints AGILE reproducibility review 2020 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. Appreciate the power of convention! Reproducible research with workflowr workflowr version 1.6.2 John Blischak 2020-04-30 Source: vignettes/wflow-09-workshop.Rmd All general icons from iconmonstr, Spring 2020 Online Reproducible Research Workshops! We are working hard to ensure it is reusable, extensible and customisable. 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. R is free and designed for reproducible research. We only follow the README instructions to compile the source code and execute the script(s)/binaries. In this case, we will synchonize your submissions in a unique review process. Who can apply for? New! 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. Understand the basics of managing code as an R package. Learning objectives for this workshop:¶ Understand the concept, importance, and components of reproducible research. The Reproducible Label proposes to make profitable your efforts in software development in order to valorize your research results. The label proposed by the RRPR committee is an additional recognition of the work presented at the ICPR conference and ICPR Workshops. In practice, showcase an example of transparent and reproducible research, using existing tools. There will be presentations each morning from Monday, November 16th – Friday, November 20th. 2.1. We regularly run in-person or online events at institutions across the globe. Below are upcoming workshops or courses that will happen on Campus this Winter/Spring 2020. Yes. 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. You just need to precise the used versions. 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. 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. A group of volunteers across the globe who are developing resources and teaching workshops to enable researchers to do reproducible research. This lack of reproducible research impacts scientific progress and public perceptions of scientific research results, and wastes billions of dollars of publicly-funded research. 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. Note that the source code is NOT reviewed. ECMWF's research and operational activities are computationally expensive and constantly need to scale further with new requirements and challenges. The sciences have with reproducibility problem (Nature article Many published studies cannot be reproduced) Workshop bringing together individuals interested in developing curriculum, workflows, and tools to strengthen reproducibility in research. We would also like to hear how we can improve the site. Join us for a workshop series this fall covering techniques for reproducible research using R! 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. Add this event to your calendar: Thu, 2015-04-30 08:03-- maphillips. Writing Reproducible Research Papers with R Markdown. Making science more reproducible has the potential to advance scientific research and make researchers' work more effective and productive. Reproducible Research: Tips and Tools The importance of reproducibility, replication, and transparency in the research endeavor is increasingly discussed in academia. 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. We can also often be found at conferences. Shell 3 31 13 0 Updated Jul 12, 2015 2015-05-14-duke-materials 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. “Reproducible Research” is Grassroots • reproducibility@XSEDE: An XSEDE14 Workshop! 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. R (and other languages) can be used through the amazing RStudio interface for even more performance, ease and Reproducible Research. 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. Then we will compare the obtained results with the results of your paper. To facilitate registration I have also added these workshops on the BCRF CALENDAR. Have some questions about our initiative or how to get involved. For more information, please see our section on how to contribute. 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. Reproducible Research using RMarkdown Learn to share your data analysis with future you and with the world. WWU workshop on Reproducible Research 19 Feb 2020 | By Daniel Nüst Reproducible research is a topic relevant for all scientific disciplines. Find out where we'll be next, or organise a workshop or online event. Your accepted paper at RRPR, ICPR or any ICPR workshop Resul Umit, licensed CC-BY-SA.! 2021 will be indexed by RLPR to materials reproducible has the potential to advance scientific research results this of! 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