1. Things to understand
before diving into
Extractives Data
PRESENTED BY
Julio Lopez
@jalp_ec

2. Contents
1. Target Audience
2. Demystifying the extractives industry
3. Why do people even care about it?
4. So, what data are we really talking about?
5. Ok, but where can I find it?
6. Do people really use this?

3. Target
audience
1

4. Target Audience
● Data Journalists
● NGOs
● Students
● Researchers (civil society, think tanks)
● School of Data Fellows

5. Demystifying the
extractives
industry
2

6. Extractives industries
“Industries that extract natural resources (NNRR), such as oil, natural
gas, diamonds, coal, and other minerals from the ground”
NNRR are also relevant in the energy sector: primary sources that are
transformed into useful energy (crude oil to diesel to electricity / natural gas
to electricity)

7. Amplified Production chain
Requirements + Production chain + Benefits

8. Why do people
even care about
it?
2

9. Why is this important?
● Economic factors: Source of revenues in many countries (including
high-income and low-income)
● The environmental and social impacts: Sustainable management of
natural resources.
● Transparency and access to information could improve the quality of
governance

10. Why is this important?
● Highly specialized industry = enhance public understanding of this
topics.
● Opening Extractives Data could foster more innovative education and
capacity building programs.
● There is a big potential for countries to go from macro statistics to real
time local data using open data: project level data.

11. So, what data
are we really
talking about?
3

12. Extractives data ecosystem
▪ Micro data:
Project level data
▪ Macro data:
Country level
Source: NRGI

13. Country level (Macro data)
●Collected at the country level (aggregated variables)
●Originated at government agencies and international databases
●Most common data includes: production of the resource (oil, natural
gas, copper, etc.), exports and imports, revenues and prices.
●It is Primary data (sources)

14. Project level (Micro data)
●Information on projects, blocks, fields, and concessions (usually
geocoded)
●Companies also publish data on projects
●Governments disseminate maps, contracts, and lists of
blocks/fields/concessions
●Contracts are also published (sometimes they do not match with the
projects)
●Normally it is not primary data (lack of official databases)

15. Ok, but where
can I find it?
4

16. Country wide
● Government agencies dedicated to oil, gas and mining
industries
● Central Banks
● International trade offices
● Environmental agencies

17. International Agencies
● World Bank Development Indicator
● Inter-American Development Bank
● International Monetary Found (IMF)
● IEA (International Energy Agency) Statistics Energy Atlas
● Joint Organisations Data Initiative (IEA, OLADE, APEC,
IEF) – hydrocarbons and natural gas

18. International Civil Society
● Publish What You Pay (PWYP)
● Extractives Industries Transparency Iniciative (EITI)
● Natural Resource Governance Institute (NRGI)
● Open Oil
● Open Contracts
● Open Corporations
● Global Subsidies Initiative - International Institute for Sustainable
Development’

19. Do people
really use this?
5

20. Uses
● NGOs, think tanks, consultancy firms and companies and
journalists
● Data visualization as a tool to advocate
● Mapping
● Contracts – Texts

21. Maps – Mining in Africa
http://www.a-mla.org/index.php

22. Contracts
http://www.resourcecontracts.org/

23. Journalism
http://ojo-publico.com/77/los-secretos-detras-de-la-lista-de-
comunidades-indigenas-del-peru

24. Open Data Maps
http://repository.openoil.net/wiki/Main_Page

25. Resources & Readings
1. http://gijn.org/2014/03/05/covering-the-extractives-industry-big-data-new-
tools-and-journalism/
2. http://www.resourcegovernance.org/news/blog/extractive-industries-data-
ecosystem-database-available-data-tools-natural-resource-govern
3. http://www.evidenceondemand.info/-maximising-the-benefits-of-data-and-
extractives-industries-for-the-poor-understanding-data-demand
4. http://opendatacon.org/reversing-the-resource-curse-with-open-data/
5. https://openoil.net/exploring-oil-data/