3  Objectives and principles

3.1 Objectives

The overall aim of the DTM Methodological Framework is to provide guidance on the selection process, expected results and limitations associated with various components, tools and methods used by DTM for quantification of displacement and mobility.

3.2 Principles

This Framework has been developed with the following core principles in mind:

  1. The Methodological Framework 2nd Edition promotes a flexible approach to through the inclusion of various components, tools and methods, subject to minimum DTM standards, that can be combined or substituted as needed to tailor DTM implementation to a wide range of contexts. Local innovation and adaptation are encouraged, and have proven highly beneficial in past DTM operations, helping to ensure relevance, local ownership and buy-in, and use of data.

  2. The Framework aims to ensure the data produced through DTM is operational and actionable, through informed selection of components, tools and methods that respond to the objectives and characteristics of a specific context and data needs.

  3. Data produced through DTM implementation when possible should be open source, commonly structured1 and public to the extent that data protection, do no harm and confidentiality considerations allow2 – i.e. information that is valuable to assist persons in need but at the same time considered sensitive for them if made public, will only be shared under specific protocols.

To facilitate responsible data sharing and use, Section 6 of this Framework includes recommendations for risk assessment and mitigation, and Section 8 provides an overview of data governance responsibilities and guidance for data classification and indicator selection. In addition, IOM DTM adheres to OCHA’s Sensitivity Classification guidelines when sharing data.

  1. Neutrality should remain core to the implementation of activities and publishing of results under this Framework. All components, tools and methods should produce data with the minimum bias possible. When feasible, an indication of confidence levels for different data records should be considered for analysis. Data suitable for public use (as per point 3 above) should be presented in a manner that allows for, and made available for, independent analysis and interpretation by external stakeholders.

  2. Regardless of the component, tools or methods selected, protection should be mainstreamed as a core consideration throughout the design and implementation of DTM exercises, building on partnerships with specialized actors and leveraging results to trigger protection activities when possible.

  3. The Framework promotes continuous learning and adaptation building on years of experience developing, testing and refining DTM components, tools and methods in various contexts. As operations evolve and expand in the future, the Methodological Framework will maintain flexibility to incorporate new elements over time.