A tool for scientific collaboration, reproducible analyses and interactive publications: FastResearch.io
- 1Wageningen University & Research, Hydrology and Quantitative Water Management Group, Wageningen, Netherlands (kryss.waldschlager@wur.nl)
- 2Comma Soft AG, Bonn, Germany
Our current era is often referred to as the 'age of data'. Increasing amounts of data and models are generated, often without being used sustainably - because they are not accessible, difficult to understand or difficult to transfer to other data sets. With https://envsci.fastresearch.io/, we aim to improve collaboration on data sets and analyses to make them usable and reproducible for everyone. With our innovative platform, we want to enable researchers to work together on data and data analysis by giving them a tool to collaborate and to make their data and analyses open access. On our platform, large amounts of data can be combined with extensive analyses and used either privately, partially publicly or completely publicly. With FastResearch.io, data and models will be easily accessible and usable even for non-specialists, as data are modularly exchangeable and users do not need to build their own environments to use the models. While a curated software environment is offered for R and Python, users can also use customized environments (docker images) due to the modular and containerized infrastructure, which allows coding in any programming language. The great advantage of FastResearch.io compared to other platform solutions is that data and analyses connected to these data are stored together within a working software environment, which ends consistency problems in collaborative projects forever.
How to cite: Waldschläger, K. and von Papen, M.: A tool for scientific collaboration, reproducible analyses and interactive publications: FastResearch.io, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3700, https://doi.org/10.5194/egusphere-egu22-3700, 2022.