The Hard-to-Reach Data (HaRD) Framework: a Case Study in Humanitarian Mine Action

Abstract

Introduction:Following humanitarian crises (e.g. armed conflict), reliable population health metrics are vital to establish health needs and priorities. However, the challenges associated with accurate health information and research in conflict zones are well documented. Often working within conflict settings are authorities and non-government organizations (NGOs) who frequently collect data under the context of operations. This operational data is a potentially untapped source of hard-to-reach data that could be utilized to provide a better insight into conflict affected populations. The Hard to Reach Data (HaRD) framework highlights the process of identifying and engaging with these stakeholders collaboratively to develop research capacity.Method:The HaRD framework was developed from literature searches of health and social sciences databases. The framework which provides a structure to gain access to data in hard-to-reach settings was applied to humanitarian mine action to identify and collect existing but underutilized data.Results:Guided by the HaRD framework we compiled the world’s first global casualty dataset for casualties of landmines and explosive remnants of war. The framework provided a structured approach to identify and engage with key stakeholders. An adaptive approach was needed for stakeholder engagement with trust building and transparency important factors in developing a collaborative partnership. Appropriate communication of research findings is important to ensure reciprocity.Conclusion:The HaRD framework can identify potential data sources and guide access in hard-to-reach data settings. Operational data is often available but hidden; a systematic approach to identifying and engaging with stakeholders can assist in developing successful research partnerships between academia and humanitarian organizations.