Opening up your science - including computer science
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Transparency and knowledge availability are essential in science. The construction of knowledge is a community-oriented, cooperative and competitive activity. The scientific method mainly consists of activities related to data. Such activities perform data collection, analysis, publication, critique, and reuse. Therefore, the access to the data, software, and work of others is necessary in order to evaluate the work, to replicate it, and to build upon that knowledge. Knowledge secures the current scientific beliefs, but also causes paradigm shifts and revolutionizes current beliefs. However, many barriers impede a broad dissemination of data, software, and scientific knowledge. This talk is the author's sharing of his experience in open science practicing and understanding. The participants will have the opportunity to learn about the widely unnoticed scarcity of knowledge, how open science copes with this scarcity of knowledge with open access, open data, and open source, what are the licenses for open up scientific knowledge and how to make sense of them, and some crazily good, innovative, technological projects to foster open science and a better science in general.