This is a microlearning video, developed by UNITAR and UN Statistics Division, that describes issues around trust in statistics and the role of the National Statistical Office in ensuring that data provided is of quality, reliable, confidential, and based on human rights among other key characteristics of official statistics.
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Citizen science data to track SDG progress
Resource
Document
Offered by:
Elena Proden (UNITAR, coordinator), Karen Bett (GPSDD), Jillian Campbell (CBD), Haoyi Chen (UNSD), Sara Duerto Valero (UN Women), Dilek Fraisl (IIASA), Gabriel Gamez (UNSD), Stephen MacFeely (WHO), Yongyi Min (UNSD), Rosy Mondardini (CSCZ), and Linda See (IIASA).
Crowd4SDG, CSCZ, GPSDD, IIASA, WHO, UNITAR, UN Women, UNSD
SDG: SDG 3, SDG 14, SDG 17, SDG 17: Systemic Issues
SDG: 2030 Agenda, Leave no one behind, SDG 3, SDG 17, SDG 17: Capacity-building
SDG: Leave no one behind, SDG 10, SDG 17, SDG 17: Systemic Issues
Computation of the SDG indicators 3.4.1, 3.8.1, 3.c.1 and 6.3.1
Microlearning
Video
Offered by:
WHO, UNITAR
SDG: SDG 3, SDG 6, SDG 17, SDG 17: Systemic Issues
SDG: Leave no one behind, SDG 5, SDG 10, SDG 17, SDG 17: Systemic Issues
SDG: SDG 3, SDG 17, SDG 17: Systemic Issues