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This paper shares the triumphs and challenges of building Extractive Industry Data Portals (EIDPs), tools that can streamline the annual production of extractive industries (EI) sector audit reports. Findings are based on technical assessments conducted by Development Gateway in Guinea, Senegal, and Nigeria; and on DG’s development of a first-phase EIDP in Nigeria.
Development actors, ourselves included, talk a lot about the importance of opening up datasets and building interoperability in order to leverage the power of collective data – but often without clarity on what meaningful collaboration and sharing actually requires in practice. For example, what can a livestock project in Nepal and a rice project in Cambodia learn from each
'Since the introduction of a US Open Data Policy in 2013, domestic agencies - particularly in the foreign assistance sector - have made great strides in opening up their financial, programmatic, and evaluation information. As recently highlighted by the Center for Global Development:'
For NGOs, good data can mean the difference between successful programs and unsuccessful...
Many factors must be considered before investing in a data ecosystem for sustainable development, including the objective of the assessment, the focus level, and specific goals for data outputs. IREX’s Jesus Melendez Vicente and DG’s Carmen Cañas would like to share a few insights and questions to help you get started, including a curated list of tools for data ecosystem assessments.
This is the second post in a three-part series relaying the findings from a study of government data use in Nepal. Read the first post here.Why should a government official care about using data?
'The post-2015 development agenda calls for a “Data Revolution,” asserting that a worldwide commitment to providing more high-quality, open data is the key to sustained global development. We’re in.
This year has marked the first since remarkable consensus on the Sustainable Development Goals, Paris Climate Agreement, and Addis Ababa Financing for Development conclusions. With world leaders back home, the real work begins...
No one would argue that we shouldn’t make better use of the data that we have, and it’s generally agreed that visualizations can help make data more easily understood...
15 years ago, AMP development was led by and co-designed with multiple partner country governments and international organizations. From a single implementation, AMP grew into 25 implementations globally. Through this growth, DG has learned crucial lessons about building systems that support the use of data for decision-making.