Various collaborative platforms were considered for the technical implementation. Core aspects for the selection were the possibility to use the platform without special technical knowledge, to store entered data in a machine-processable way and to be able to enter chemical formulas. Semantic MediaWiki (especially in combination with the extension "Page Forms" ) was chosen because it is based on the user-friendly and widely used MediaWiki software, but also offers additional functions that allow data entered in human-readable format to be stored in a structured and machine-readable way. This facilitates the retrieval, reuse, and consistency of information on the platform. In particular, a semantic model of the data can be defined initially and corresponding input masks can be created. These allow domain experts from chemistry to enter structured information even without special knowledge of the wiki software or the underlying technologies from the Semantic Web area. Information entered in this way is available in the system in a structured and semantically described form, enabling fine-grained search queries and the integration with external data sources. Additional extensions to Semantic MediaWiki provide visualization, import, and export capabilities, which promote knowledge sharing and collaboration with domain experts outside of chemistry as well as external technical systems. Investigations can be queried for specific properties across Publications using Semantic MediaWiki Queries via "Investigation Links". By using ontologies, concepts in a data model are assigned to terms in a controlled vocabulary. This has the benefit that knowledge encapsulated by the data is represented in a way that is structured and coherent across systems. We specifically utilize the external ontologies OBI, ChEBI, and MOP to define classes in our data model and integrate them by assigning a special property imported from which is provided by SMW.