In this position paper the impact of web development on knowledge discovery and information sharing in

natural sciences and humanities is discussed. While on the one hand the potential of moving data analysis

to the web is huge, one has to deal with fundamental obstacles on both levels: administrative/political and

scientific/algorithmic. Some recent trends in Science 2.0 applications and tools in scientific research are summarized

and discussed. Afterwards the reasons for limitations in the Science 2.0 progress are identified. The

paper concludes with the opinion, that information sciences in general and the fields of data mining, visualization,

statistical learning and applied computer sciences (such as bioinformatics, or medical informatics) have

not kept pace with the development and should reconsider some of their research foci.