| Part 1: For policymakers and decision-makers | |
| Chapter | Learning objectives |
| 1: The relevance of migration data and statistics. |
What are migration data and statistics? What are relevant global frameworks on migration data? What are the key challenges and how do they affect our understanding of migration? What are potential solutions & opportunities for improving the global evidence base? |
| 2: Using migration data and research to inform policy-making and decision-making |
How can data be used for generating insight, informing action and building foresight? How has migration governance benefited from data in the past? How can data inform each stage of the policymaking process? |
| 3: The data regulatory environment |
Why are a well-defined National Statistical System (NSS) and legislative framework essential to improving migration data? How should a NSS and legislative framework be designed? How can regional bodies provide an encouraging framework for the production of migration data? |
| 4: Introduction to the Key Concepts and Definitions |
How has the definition of international migration been revised by the UN Expert Group? What is international temporary mobility and why should we collect data on ‘movers’? What are the different sub-types of migration? What progress has been made in terms of conceptualizing and defining the sub-types? |
| 5: Dissemination and communication of migration data and research |
Through which mediums can we disseminate migration data and research? What are the respective strengths and limitations of these different mediums? Why is data dissemination important and how can it be facilitated? How can we ensure balanced and accurate reporting of migration data and research? |
| Part 2: For technical and field personnel | |
| Chapter | Learning objectives |
| 1: Key concepts in migration data and their measurement |
How has the definition of international migration been revised by the UN Expert Group? What information is needed to measure international migration? What are the key international migration and temporary mobility indicators? How can we measure temporary mobility, return & circular migration & internal migration? How and why should migration data be disaggregated? |
| 2: Migration data sources |
What are the key sources of migration data and their respective strengths & limitations? How can innovative data sources improve our understanding of migration? How can different migrant groups be identified across different data sources? |
| 3: Collecting data on different types of migration |
What types of migration can be identified based on the reasons for or nature of migration? How can we measure labour migration, forced displacement and irregular migration? How can we collect data on these sub-types based on existing or innovative data sources? What are cost-effective ways of generating data on these sub-types? |
| 4: Data management, sharing and protection |
How can we ensure data coverage, reliability and timeliness during data collection? What are some good practices in data storage? How can we encourage data sharing between agencies? How can we ensure data protection and privacy and why is this important? |
| 5: Data Analysis |
What are the different ways of analysing quantitative data? What kinds of questions can be answered through quantitative data analysis? How can we develop effective data visualizations? Which methods can be used to generate statistics of hard-to-reach migrant groups? |