https://oecd-opsi.org/toolkits/a-guide-to-data-innovation-for-development-from-idea-to-proof-of-concept/ Tue, 31 Jan 2023 16:22:37 +0000 hourly 1 https://wordpress.org/?v=7.0 https://oecd-opsi.org/toolkits/a-guide-to-data-innovation-for-development-from-idea-to-proof-of-concept/#comment-18020 Mon, 04 Jan 2021 17:04:49 +0000 https://oecd-opsi.org/toolkits/a-guide-to-data-innovation-for-development-from-idea-to-proof-of-concept/#comment-18020 One of the biggest struggles of public policymakers is often that of finding hard data to objectively design, monitor and evaluate the social issues they are working on.
This toolkit will be an extraordinary resource for all practitioners or program designers who need a dataset or are struggling to deal with the data they have collected.
The toolkit comprehensively illustrates the entire agenda-setting process of the design of a policy-program based on data. Its aim, hence, is not that of providing a series of techniques or solutions. Rather, it must be considered as a single detailed plan of interlinked operations.
The biggest strength of the toolkit is that it accompanies the user step by step, providing extensive guidelines on how to set up each phase of the research.
Relying fully on this toolkit without being used to work with dataset and statistics, however, may be difficult. The steps suggested by the UNDP are very clear and provide substantive help on how to lead data analysis and how to use the results collected. Yet, they are not a quantitative methods lesson. In order to use it, knowledge about how to process data and use statistical software is a pre-requisite.
Nevertheless, if someone confident with quantitative methods is included in the team using the toolkit, its use will be easy and may significantly improve the reliability of the results obtained. Also, the quantity of examples and the fact that every step includes tools to practically implement the techniques described is remarkable. These last features, in fact, significantly increase the applicability of the toolkit, extending its usefulness also to who is less familiar with data analysis.

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