RFP for designing of Virtual training for CSOs and national-level actors in partner countries on how to access, understand and use IATI data

UNOPS
RFP for designing of Virtual training for CSOs and national-level actors in partner countries on how to access, understand and use IATI data Request for proposal

Reference: RFP/2021/19683
Beneficiary countries: Multiple destinations (see 'Countries' tab below)
Registration level: Basic
Published on: 15-Apr-2021
Deadline on: 17-May-2021 15:00 0.00

Description
To date, the focus of IATI’s engagement with civil society has largely been focused on the demand side: supporting civil society organizations to publish data on their own budgets, expenditures, and activities to IATI. However, given the focus of the DUWG and rationale for strengthening ties with civil society as outlined above, increasing training opportunities for civil society and other local partners in developing countries around how to access and use IATI data is paramount for achieving better transparency of development and humanitarian resources worldwide.
As such, IATI is seeking to engage a service provider to design the concept and content for a comprehensive (virtual) introductory course on development cooperation / IATI data and its uses for members of civil society organizations, specifically those who are located in developing countries with limited or no previous IATI knowledge. 
The virtual training course will have three main aims:
To introduce members of civil society in developing countries to the conversation around transparency of development cooperation resources, including through an overview of national and global sources for development cooperation data.
To familiarize members of civil society in developing countries with IATI, what types of IATI data is available, how they can access and use it, and for what purposes it can be used.
To familiarize members of civil society in developing countries with IATI’s data access tools (TBD in consultation with the Secretariat) and provide a basic understanding of how to access, analyze, interpret and understand the data for their own needs, including finding data with local relevance.

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