1  Historical background and revision

The original version of the Methodological Framework used in Displacement Tracking Operations for Quantifying Displacement and Mobility (MFQDM) was published on December 5th 2017. It was used widely, both nationally and in regional operations, to develop DTM methodologies responsive to information requirements on displacement and mobility. Methodological developments in country missions have revealed the need for updating the MFQDM.

The 2022 update reflects latest methodological improvements as well as changes of terminology implemented to facilitate common understanding and coordination with an increasing range of stakeholders. In the MFQDM 2nd edition, sections 2, 6, 7, 8 and 10 remain relatively unchanged, whereas section 9 has been largely expanded which reflects an increased in available published DTM Standards for DTM1 systems, outputs and operations as well as protocols for sharing sensitive information. Section 1 – ‘Historical background and revision’ was not in the original version and is new.

Section 4 includes an important update on terminology. DTM tools within the Mobility Tracking component, previously recognized as baseline location assessment and site assessment have been increasingly implemented in a diversity of geographical units. To reflect this change designation was changed to Baseline Sub-Area Assessment (previously Baseline Location Assessment) and Multi-Sectoral Location Assessments (previously Site Assessment) to acknowledge the multi-sector nature of the assessments.

Section 5 reflects the changes in terminology mentioned above to Mobility Tracking tools and aligns minimum fields for data collection in Registration with the DTM data dictionary (for more information on the Data Dictionary, please see Section 7). Within the more detailed table on registration (section 5.3) there are minor changes, including the reference to cash assistance as the programmatic area supported by registration. The Points of Entry (PoE) monitoring has also been added which was developed and scaled throughout the COVID-19 pandemic (section 5.2.4).

  1. DTM Standards include: Artificial Intelligence (AI), data science & ethics, Data analysis planning, Data archiving, recovery & destruction, Data design and collection, Data protection & privacy, Data sharing, Data visualisation, Geospatial information, Internal data consolidation, Partnerships & external relationships, Monitoring & evaluation, Project management, Reporting & publication, Sampling and Training & internal capacity building.↩︎