Jan 19, 2015

Opening up your science – including computer science

Open sign

In two days, I will give a 1-hour talk about open science at the University of Oulu, Finland. For this very special occasion, I built a monster presentation about open science principles in computer science. However, it is general enough for all disciplines. Feel free to reuse it.


Graziotin, Daniel (2015): Opening up your science – including computer science. figshare. DOI:10.6084/m9.figshare.1290944


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.

written by dgraziotin

Dr. Daniel Graziotin received his PhD in computer science, software engineering at the Free University of Bozen-Bolzano, Italy. His research interests include human aspects in empirical software engineering with psychological measurements, Web engineering, and open science. He researches, publishes, and reviews for venues in software engineering, human-computer interaction, and psychology. Daniel is the founder of the psychoempirical software engineering discipline and guidelines. He is associate editor at the Journal of Open Research Software, academic editor at the Research Ideas and Outcomes (RIO) journal, and academic editor at the Open Communications in Computer Science journal. He is the local coordinator of the Italian Open science local group for the Open Knowledge Foundation. He is a member of ACM, SIGSOFT, and IEEE.

Leave a comment