Earthquake engineering is increasingly focusing on large international collaborations to address complex problems. Recent computing advances have greatly contributed to the way scientific collaborations are conducted, where web-based solutions are an emerging trend to manage and present results to the scientific community and the general public. However, collaborations in earthquake engineering lack a common interoperability framework, resulting in tedious and complex processes to integrate results, which cannot be efficiently used by third-party institutions. The work described in this thesis applies novel computing techniques to enable the interoperability of earthquake engineering resources, by integrating data, distributed simulation services and laboratory facilities. This integration focuses on distributed approaches rather than centralised solutions, and has been materialised in a platform called Celestina, that supports the integration of hazard mitigation resources. The prototype of Celestina has been implemented and validated within the context of two of the current largest earthquake engineering networks, the SERIES network in Europe and the NEES network in the USA. It has been divided into three sub-systems to address different problems: (i) Celestina Data, to develop best methods to define, store, integrate and share earthquake engineering experimental data. Celestina Data uses a novel approach based on Semantic Web technologies, and it has accomplished the first data integration between earthquake engineering institutions from the United States and Europe by means of a formalised infrastructure. (ii) Celestina Tools, to research applications that can be implemented on top of the data integration, in order to provide a practical benefit for the end user. (iii) Celestina Simulations, to create the most efficient methods to integrate distributed testing software and to support the planning, definition and execution of the experimental workflow from a high-level perspective. Celestina Simulations has been implemented and validated by conducting distributed simulations between the Universities of Oxford and Kassel. Such validation has demonstrated the feasibility to conduct both flexible, general-purpose and high performance simulations under the framework. Celestina has enabled global analysis of data requirements for the whole community, the definition of global policies for data authorship, curation and preservation, more efficient use of efforts and funding, more accurate decision support systems and more efficient sharing and evaluation of data results in scientific articles.