Open Environmental Data Analysis

Nüst Daniel, Bartoschek Thomas

Abstract in Online-Sammlung (Konferenz)

Zusammenfassung

Open Science is a major movement in openness, availability, and transparency spanning Open Access, Open Data, Reproducible Research, Free and Open Source Software (FOSS), and Open-source Hardware. Free to use platforms supporting Open Science become more recognised and are FOSS themselves, such as Zenodo (https://zenodo.org), Binder (http://mybinder.org/), and senseBox (https://sensebox.de/en). We present an open environmental data analysis building on all these projects. A central R Markdown (http://rmarkdown.rstudio.com/) document provides a recipe for data retrieval, analysis, and visualisation with R (https://r-project.org). Docker (https://docker.com) and Rocker (http://rocker-project.org/) provide a portable transparent and reproducible computational environment which can be opened easily on Binder. We demonstrate an open analysis workflow for environmental data utilising numerous Open X projects, showcasing the potential of latest technology and potentially a template towards development of more open practices. Full conference abstract: https://meetingorganizer.copernicus.org/EGU2018/EGU2018-17461.pdf

Details zur Publikation

Veröffentlichungsjahr: 2018
Sprache, in der die Publikation verfasst istEnglisch
Link zum Volltext: https://meetingorganizer.copernicus.org/EGU2018/EGU2018-17461.pdf