The dissemination of microdata (i.e. survey data) allows to reduce duplication in data collection; to improve the reliability and relevance of data; to support research to promoting development of new tools for using data. Last but not least, it enhance the credibility of the organization that … Read more
Despite the growing interest in Big Data and alternative data sources, household surveys remain the gold-standard for the production of official statistics. It should then come as no surprise that a diverse selection of packages have been developed to facilitate working with survey data in R. # … Read more
Household surveys can deliver immense insight into the living conditions of affected populations. Their uptake by the humanitarian system, however, has been stalled by a multitude of logistical challenges, not least of which is the absence of up-to-date sampling frames. The issue is normally … Read more
The OCHA’s Centre for Humanitarian Data has recently produce some Quick Tips for Visualising Data using examples from the COVID-19 Pandemic. It includes a tutorial explaining how to generate a Logarithmic Line Chart with Excel. This tutorial will demonstrate how to increase your productivity by … Read more
Conjoint analysis originated in mathematical psychology by psychometricians and was developed since the mid-sixties also by researchers in marketing and business. Conjoint analysis (CA) is often used to evaluate how people make decisions between a set of different options when considering a number … Read more
In humanitarian contexts, it’s not always possible to use a statistically representative dataset in order to infer the relative weights to be used for each criteria from the full vulnerability scorecard. The only options is to use multiple expert judgement in order to Define relative weights to be … Read more
This example is based on the note: A new index of refugee protection. It explainss the construction of a lack-of-protection index (or “index of protection risks”), a composite indicator constructed from two sub-dimensions: safety problems (18 indicators) and movement restrictions (6 indicators). To … Read more
Geocoding location is one of the common task for many humanitarian information management officers. While the regular google is working very well in many countries, most of countries where we work are often poorly covered. Geoname.org is the most extensive database of toponyme. It aggregates a huge … Read more
Often affected population or key informant are requested to share their preference for specific type of interventions. How can we identify patterns of preference within a dataset? Can we identify groupings on the basis of several (categorical or continuous) variables that differentiate profiles … Read more
Ratings and rankings account for the majority of data generated in the course of rapid key informant needs assessments during humanitarian emergencies. Using this information to develop consolidated need prioritisation comes with challenges.
Practically speaking, the method presented here can be … Read more
The humanitarian data analysis professional community shall work towards using a common and open language to build interoperable and transparent analysis standards for joint needs assessments and to obtain maximum value for any data collected.