ABSTRACTThe 2010 earthquake in Haiti was unprecedented in its impact. The dual loss of the Haitian government and United Nations (UN) leadership led to an atypical disaster response driven by the US government and military. Although the response was massive, the leadership and logistical support were initially insufficient, and the UN cluster system struggled with the overwhelming influx of nontraditional agencies and individuals, which complicated the health care response. Moreover, the provision of care was beyond the country's health care standards. The management of the US government resembled a whole-of-government domestic response, combined with a massive military presence that went beyond logistical support. Among the most important lessons learned were the management of the response and how it could be strengthened by adapting a structure such as the domestic National Response Framework. Also, mechanisms were needed to increase the limited personnel to surge in a major response. One obvious pool has been the military, but the military needs to increase integration with the humanitarian community and improve its own humanitarian response expertise. In addition, information management needs standardized tools and analysis to improve its use of independent agencies.(Disaster Med Public Health Preparedness. 2012;6:200–208)

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Purpose The purpose of this paper is to discuss how, despite increasing data availability from a wide range of sources unlocks unprecedented opportunities for disaster risk reduction, data interoperability remains a challenge due to a number of barriers. As a first step to enhancing data interoperability for disaster risk reduction is to identify major barriers, this paper presents a case study on data interoperability in disaster risk reduction in Europe, linking current barriers to the regional initiative of the European Science and Technology Advisory Group. Design/methodology/approach In support of Priority 2 (“Strengthening disaster risk governance to manage disaster risk”) of the Sendai Framework and SDG17 (“Partnerships for the goals”), this paper presents a case study on barriers to data interoperability in Europe based on a series of reviews, surveys and interviews with National Sendai Focal Points and stakeholders in science and research, governmental agencies, non-governmental organizations and industry. Findings For a number of European countries, there remains a clear imbalance between long-term disaster risk reduction and short-term preparation and the dominant role of emergency relief, response and recovery, pointing to the potential of investments in ex ante measures with better inclusion and exploitation of data. Originality/value Modern society is facing a digital revolution. As highlighted by the International Council of Science and the Committee on Data for Science and Technology, digital technology offers profound opportunities for science to discover unsuspected patterns and relationships in nature and society, on scales from the molecular to the cosmic, from local health systems to global sustainability. It has created the potential for disciplines of science to synergize into a holistic understanding of the complex challenges currently confronting humanity; the Sustainable Development Goals are a direct reflectance of this. Interdisciplinary is obtained with integration of data across relevant disciplines. However, a barrier to realization and exploitation of this potential arises from the incompatible data standards and nomenclatures used in different disciplines. Although the problem has been addressed by several initiatives, the following challenge still remains: to make online data integration a routine.

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