The purpose of the European Migration Network (EMN) Glossary of terms relating to Asylum and Migration is inter alia to improve comparability between EU Member States through the use and common understanding of the terms and definitions contained herein. It provides common terminology for the concepts included and thereby facilitates a precise discourse on asylum and migration matters, including in the media.
"Un instrumento para una mayor comparabilidad." El objetivo del Glosario de la Red Europea de Migraciones (EMN en sus siglas en inglés) de términos relativos al asilo y las migraciones procedentes sobre todo del acervo de la UE es, entre otros, mejorar la comparabilidad entre Estados miembros de la UE a través del uso y la comprensión común de los términos y definiciones contenidos en él.
The 2017 Atlas on Sustainable Development Goals (SDGs) is a visual guide to data and development. It features over 150 maps and data visualizations that show how societies are making progress towards the 17 goals.
The document offers a glossary on terms related to protection and information management to facilitate communication, understanding, and collaboration between colleagues within and across humanitarian organizations working in protection information management. Multiple definitions and examples are included for further understanding.
This online guide from the Migration Policy Institute (MPI) links users to data on immigrants and immigration in the United States and internationally. The guide includes more than 220 data sources compiled by governmental and authoritative non-governmental sources. Topics covered include: (1) foreign-born population, (2) migrant stocks and flows, (3) humanitarian and labour migration, (4) naturalization, (5) education, (6) and language attainment.
The data value chain describes the evolution of data from collection to analysis, dissemination, and the final impact of data on decision making. While the value chain can be applied to all types of data, it may be particularly useful for a better understanding of the gaps in gender data.
