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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.

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.

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.

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.

This paper aims to describe an in-depth study conducted on transition of recovery into subsequent recovery phases after the 2010 super floods in the Sindh province of Pakistan. The objectives of this research were to examine the post-disaster activities after the floods and highlight the critical areas hindering the transition into an effective recovery phase.

A case study approach based on literature reviews with semi-structured interviews with disaster management stakeholders were applied as the primary source of data.

The study found that long-term recovery was the most neglected phase of post-disaster recovery (PDR). The factors hindering successful transition following short-term recovery activities are lack of following: community-level involvement, local administration and community capacity, disaster governance, different stakeholders and coordination, information and knowledge management.

This paper examines the long-term disaster recovery after the 2010 super floods in three districts of Sindh. Therefore, researchers are encouraged to investigate the factors in other areas for different types of disasters.

These findings are critical to planning future post-disaster recoveries in the region. It also provides a basis to investigate other types of disasters.

The transition of recovery into long-term phase has never been investigated before. The recovery phase is an opportune time to incorporate strategies for building back better, resilience, mitigation and preparedness. A PDR that does not incorporate these strategies in the long-term leaves affected communities in more vulnerable conditions for future disasters.