DG’s work in extractives began in 2015, as a partnership with the International Secretariat of the Extractive Industries Transparency Initiative (EITI). We began building a deep knowledge of extractives data sources, reporting standards, and visualization techniques. Now, we lead innovative programs throughout West Africa assessing feasibility, measuring women’s participation, and presenting data on community impacts.
Though several extractive industry (EI) issues are common in mineral-rich countries, the first step we take in extractives projects is an in-depth assessment of the legal, institutional, and organizational contexts in place, thinking through what challenges might be shared across mineral-rich contexts. We also undertake technical assessments of existing systems and user needs. Understanding the national context helps assess a given country’s readiness to disclose data and guides our work at the country level.
Access and Increased Transparency
By pursuing a full understanding of country readiness to proactively manage and disclose extractives industry data, we aim to improve transparency and citizens’ ability to pursue accountability in the sector.
More Than Data Alone
EI sector data is complex and technical, with information often hidden in contracts, impact studies, or legal documents. DG compiles and translates this information into easy to understand data visualization and analysis tools that prioritize simplicity and ease, encouraging data use in decision-making, and support accountability mechanisms in the sector.
Applying a Gender Lens to EI Data
By increasing the supply of data about women’s and girls’ complex relationships with the male-dominated industry, we build evidence around the real obstacles women face in EI. We then work to document findings on gender and EI, which helps governments consider women in EI policy, programs, and solutions.
DG developed a first-of-its-kind Women's Index for the Extractive Sector: the WIM Guinea Index. With support from the Open Society Initiative in West Africa (OSIWA), our partnership with WIM Guinea targets three mineral-rich Guinean communes: Boké, Siguiri, and Kérouané.
DG assessed the extractive data landscape in Senegal, Nigeria, and Guinea to determine the feasibility of developing an Extractives Industry Data Portal (EIDP) for each country.
With the Ford Foundation and NEITI, DG developed an Extractive Industry Data Portal (EIDP) tool to automate data collection and support the process of reconciling conflicting financial data shared by the private sector and the government. The tool simplifies the audit process and drastically improve the timeliness of NEITI’s reports.
Au cours des dernières années, DG a intensifié sa recherche dans le domaine des industries extractives (IE) en Afrique de l'Ouest, ce qui a permis de mieux cerner les lacunes en termes de données et d'identifier les opportunités du secteur. Nous avons constaté que les informations disponibles au grand public sont principalement axées sur la transparence des flux financiers et ciblent la scène internationale, mais occultent les facteurs non-financiers et l'impact local réel de l'industrie. Une question reste en suspens : comment promouvoir la divulgation de données susceptibles d'appuyer les communautés impactées par les activités extractives ?
In the past few years, DG has increased focus on the extractives industry (EI) in West Africa and learned tremendously about the data gaps and opportunities in this sector. Overall we are seeing that while data is available, it is focused primarily on financial transparency and geared to a global audience, omitting information on local impacts and non-financial factors. A big question remains: how do we ensure that data is also used to support the communities impacted by extractives?
As we review our strategy, we plan to share here much of what we’ve learned through programming in more than a dozen countries – from our work and from our excellent partners – about the state of data in agriculture, tobacco control, open contracting, and the extractive industries. For each theme, we’ll explore who are the key data users, the decisions they make, the most important data gaps, and the crucial risks of data (mis)use. Here we share previews from some of our flagship programs.