Conclusions drawn from D2. 3 We performed a multivariate content analysis (Xxxxxxx and Xxxx 2014)—a combination of qualitative and quantitative content analysis (Mayring 2014). Multivariate content analysis is a well-established, scientific method of empirical social science for objective information retrieval. Our statistical analysis has shown that 9 out of 18—predetermined important categories of open science occur significantly more often in the five CAMs than expected ((p < .05) (Xxxxxx’x exact test). It can be concluded, that open science is very likely implicitly relevant in the analysed CAMs. This in turn means (a) that open science is indeed already relevant in the given CAMs and (b) open science and the CAMs are compatible in principle. Important categories in those CAMs are: intellectual property, open data, ethics and responsibility and open source software. We should focus on these categories, because they are already implicitly relevant in the contractual practices. Furthermore, we should stress that digitalisation and open science go hand in hand. Digitisation is an important megatrend, which is also crucial for AAT.
