Big data and new technologies, along with traditional data sources, are key enablers for the Sustainable Development Goals (SDGs).

As we find new data and new ways to use and combine them, now, perhaps more than ever, the development community needs to improve the way it thinks about data quality. The Data Futures Hub has therefore developed this Snapshot Guide to help the development community optimise its use of data.

Snapshot Guide
To Data Quality
In Development

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Introduction

Data has always been at the heart of development: tracking what needs to be done and where, understanding the impact of development interventions, and guiding agile Programme Management during interventions.

But without a good approach to data quality, development interventions run a high risk of being ineffective.

Our Snapshot Guide has 5 learning sections, which should take no more than 15 minutes in total to read. It intends to give you a framework for building a strategy for managing data quality through:

1

Mapping the data landscape

2

Understanding the different Dimensions of Data Quality

3

Seeing quality as part of a process

4

Planning for what can go wrong

5

The key take-aways for data quality

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