Despite the potential benefits regarding data-sharing in the container supply chain, stakeholders still can be skeptical towards data-collaboration. Due to conflicting goals and objectives of companies and the competitive nature of the industry, data-collaboration cannot be easily achieved. Previous research has little touched upon combining inter-organizational governance and data governance. Based on a case study about data-collaboration in the container supply chain and previous data governance research, a new data governance framework with possible data-sharing archetypes is developed. Three data governance archetypes are suggested in order to further enhance data-collaboration: regulate data, buy & sell data and data-fordata. Future research should focus on the further validation of the found archetypes, valorization of data and the legal basis of data-ownership.