A framework for strengthening data ecosystems to serve humanitarian purposes

Haak, Eilse and Ubacht, Jolien and van den Homberg, Marc and Cunningham, Scott and van de Walle, Bartel; (2018) A framework for strengthening data ecosystems to serve humanitarian purposes. In: Proceedings of the 19th Annual International Conference on Digital Government Research. ACM, NLD. (https://doi.org/10.1145/3209281.3209326)

[thumbnail of Haak-etal-ACM2018-A-framework-strengthening-data-ecosystems-serve-humanitarian-purposes]
Text. Filename: Haak_etal_ACM2018_A_framework_strengthening_data_ecosystems_serve_humanitarian_purposes.pdf
Final Published Version

Download (482kB)| Preview


The incidence of natural disasters worldwide is increasing. As aresult, a growing number of people is in need of humanitariansupport, for which limited resources are available. This requires aneffective and efficient prioritization of the most vulnerable peoplein the preparedness phase, and the most affected people in theresponse phase of humanitarian action. Data-driven models havethe potential to support this prioritization process. However, theapplications of these models in a country requires a certain level ofdata preparedness. To achieve this level of data preparedness on alarge scale we need to know how to facilitate, stimulate and coor-dinate data-sharing between humanitarian actors. We use a dataecosystem perspective to develop success criteria for establishing a“humanitarian data ecosystem”. We first present the developmentof a general framework with data ecosystem governance successcriteria based on a systematic literature review. Subsequently, theapplicability of this framework in the humanitarian sector is as-sessed through a case study on the “Community Risk Assessmentand Prioritization toolbox” developed by the Netherlands Red Cross.The empirical evidence led to the adaption the framework to thespecific criteria that need to be addressed when aiming to establisha successful humanitarian data ecosystem.