Opening up your science - including computer science

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.

透明度与知识可及性是科学研究的核心要义。知识构建是一项面向学术共同体、兼具协作与竞争属性的活动。科学方法的核心环节多围绕数据展开，涵盖数据采集、分析、发布、评议与复用等流程。因此，获取他人的数据、软件及研究成果，是评估研究工作、复现实验结果并在既有知识基础上开展后续研究的必要前提。知识既稳固了当下的科学共识，也可能引发范式变革，彻底革新既有认知。然而，诸多障碍掣肘了数据、软件及科学知识的广泛传播。本次分享系作者结合自身开放科学实践与认知的经验交流。参会者将有机会了解到这一鲜为人知的知识匮乏困境，开放科学如何通过开放获取（Open Access）、开放数据（Open Data）与开源（Open Source）应对该困境，科学知识开放所涉及的许可协议类型及理解选用方法，以及一批助力开放科学发展、推动整体科研生态优化的极具创新性与实践价值的技术项目。