SlideShare a Scribd company logo
1 of 25
Download to read offline
Things to understand
before diving into
Extractives Data
PRESENTED BY
Julio Lopez
@jalp_ec
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?
Target
audience
1
Target Audience
● Data Journalists
● NGOs
● Students
● Researchers (civil society, think tanks)
● School of Data Fellows
Demystifying the
extractives
industry
2
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)
Amplified Production chain
Requirements + Production chain + Benefits
Why do people
even care about
it?
2
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
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.
So, what data
are we really
talking about?
3
Extractives data ecosystem
▪ Micro data:
Project level data
▪ Macro data:
Country level
Source: NRGI
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)
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)
Ok, but where
can I find it?
4
Country wide
● Government agencies dedicated to oil, gas and mining
industries
● Central Banks
● International trade offices
● Environmental agencies
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
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’
Do people
really use this?
5
Uses
● NGOs, think tanks, consultancy firms and companies and
journalists
● Data visualization as a tool to advocate
● Mapping
● Contracts – Texts
Maps – Mining in Africa
http://www.a-mla.org/index.php
Contracts
http://www.resourcecontracts.org/
Journalism
http://ojo-publico.com/77/los-secretos-detras-de-la-lista-de-
comunidades-indigenas-del-peru
Open Data Maps
http://repository.openoil.net/wiki/Main_Page
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/

More Related Content

Viewers also liked

Aula EBD - Relacionamentos na Igreja
Aula EBD - Relacionamentos na IgrejaAula EBD - Relacionamentos na Igreja
Aula EBD - Relacionamentos na IgrejaDilsilei Monteiro
 
What is documentation and its techniques
What is documentation and its techniquesWhat is documentation and its techniques
What is documentation and its techniquesSohail Sangi
 
[CASE STUDY] 378% ROI On Your Sales Funnel Using Facebook Ads
[CASE STUDY] 378% ROI On Your Sales Funnel Using Facebook Ads[CASE STUDY] 378% ROI On Your Sales Funnel Using Facebook Ads
[CASE STUDY] 378% ROI On Your Sales Funnel Using Facebook AdsWilliam Marco Locañas
 
6 tips of using #hashtag for marketing
6 tips of using #hashtag for marketing6 tips of using #hashtag for marketing
6 tips of using #hashtag for marketingTerry Tong
 
Zajednicka pozicija EU za Poglavlje 35
Zajednicka pozicija EU za Poglavlje 35Zajednicka pozicija EU za Poglavlje 35
Zajednicka pozicija EU za Poglavlje 35gordana comic
 
The Ethical Public Relations Practitioner
The Ethical Public Relations PractitionerThe Ethical Public Relations Practitioner
The Ethical Public Relations PractitionerBarbara Nixon
 
CEDEC2014 「ライブラリを作ってはいけない ~それでも作りたいあなたへのアドバイス~」
CEDEC2014 「ライブラリを作ってはいけない ~それでも作りたいあなたへのアドバイス~」CEDEC2014 「ライブラリを作ってはいけない ~それでも作りたいあなたへのアドバイス~」
CEDEC2014 「ライブラリを作ってはいけない ~それでも作りたいあなたへのアドバイス~」Yoshihiro Kurohata
 
The Alternative Dispute Resolution System in Tax Trial
The Alternative Dispute Resolution System in Tax TrialThe Alternative Dispute Resolution System in Tax Trial
The Alternative Dispute Resolution System in Tax TrialUniversity of Ferrara
 
Cancer Care in a Post Truth World
Cancer Care in a Post Truth World Cancer Care in a Post Truth World
Cancer Care in a Post Truth World Matthew Katz
 
Scalable Software Testing and Verification of Non-Functional Properties throu...
Scalable Software Testing and Verification of Non-Functional Properties throu...Scalable Software Testing and Verification of Non-Functional Properties throu...
Scalable Software Testing and Verification of Non-Functional Properties throu...Lionel Briand
 

Viewers also liked (16)

Sikuli
SikuliSikuli
Sikuli
 
Semana de Comércio Exterior e Logística - Aplicação de ferramentas de melhori...
Semana de Comércio Exterior e Logística - Aplicação de ferramentas de melhori...Semana de Comércio Exterior e Logística - Aplicação de ferramentas de melhori...
Semana de Comércio Exterior e Logística - Aplicação de ferramentas de melhori...
 
Aula EBD - Relacionamentos na Igreja
Aula EBD - Relacionamentos na IgrejaAula EBD - Relacionamentos na Igreja
Aula EBD - Relacionamentos na Igreja
 
UI composition
UI compositionUI composition
UI composition
 
What is documentation and its techniques
What is documentation and its techniquesWhat is documentation and its techniques
What is documentation and its techniques
 
Healthy Food
Healthy FoodHealthy Food
Healthy Food
 
[CASE STUDY] 378% ROI On Your Sales Funnel Using Facebook Ads
[CASE STUDY] 378% ROI On Your Sales Funnel Using Facebook Ads[CASE STUDY] 378% ROI On Your Sales Funnel Using Facebook Ads
[CASE STUDY] 378% ROI On Your Sales Funnel Using Facebook Ads
 
6 tips of using #hashtag for marketing
6 tips of using #hashtag for marketing6 tips of using #hashtag for marketing
6 tips of using #hashtag for marketing
 
Zajednicka pozicija EU za Poglavlje 35
Zajednicka pozicija EU za Poglavlje 35Zajednicka pozicija EU za Poglavlje 35
Zajednicka pozicija EU za Poglavlje 35
 
The Ethical Public Relations Practitioner
The Ethical Public Relations PractitionerThe Ethical Public Relations Practitioner
The Ethical Public Relations Practitioner
 
Raft
RaftRaft
Raft
 
CEDEC2014 「ライブラリを作ってはいけない ~それでも作りたいあなたへのアドバイス~」
CEDEC2014 「ライブラリを作ってはいけない ~それでも作りたいあなたへのアドバイス~」CEDEC2014 「ライブラリを作ってはいけない ~それでも作りたいあなたへのアドバイス~」
CEDEC2014 「ライブラリを作ってはいけない ~それでも作りたいあなたへのアドバイス~」
 
The Alternative Dispute Resolution System in Tax Trial
The Alternative Dispute Resolution System in Tax TrialThe Alternative Dispute Resolution System in Tax Trial
The Alternative Dispute Resolution System in Tax Trial
 
Cancer Care in a Post Truth World
Cancer Care in a Post Truth World Cancer Care in a Post Truth World
Cancer Care in a Post Truth World
 
Scalable Software Testing and Verification of Non-Functional Properties throu...
Scalable Software Testing and Verification of Non-Functional Properties throu...Scalable Software Testing and Verification of Non-Functional Properties throu...
Scalable Software Testing and Verification of Non-Functional Properties throu...
 
Conf orm - explain
Conf orm - explainConf orm - explain
Conf orm - explain
 

Similar to Skillshare - Understanding extractives data

Intangible Assets and Spanish Economic Growth
Intangible Assets and Spanish Economic GrowthIntangible Assets and Spanish Economic Growth
Intangible Assets and Spanish Economic GrowthSPINTAN
 
Methodologies for Addressing Risks and Opportunities Engendered by Big Data T...
Methodologies for Addressing Risks and Opportunities Engendered by Big Data T...Methodologies for Addressing Risks and Opportunities Engendered by Big Data T...
Methodologies for Addressing Risks and Opportunities Engendered by Big Data T...BYTE Project
 
A3 - Competitiveness of the Geothermal sector
A3 - Competitiveness of the Geothermal sector A3 - Competitiveness of the Geothermal sector
A3 - Competitiveness of the Geothermal sector Iceland Geothermal
 
01 int biz.theories session 1, 2 & 3
01 int biz.theories session 1, 2 & 301 int biz.theories session 1, 2 & 3
01 int biz.theories session 1, 2 & 3mayuritiwari01
 
Open Data Institute presentation of european context
Open Data Institute presentation of european contextOpen Data Institute presentation of european context
Open Data Institute presentation of european contextliberTIC
 
Hack day presentation may 2013
Hack day presentation may 2013Hack day presentation may 2013
Hack day presentation may 2013Rewired_State
 
The State of Open Data - AI, Data Literacy and the Private Sector
The State of Open Data - AI, Data Literacy and the Private SectorThe State of Open Data - AI, Data Literacy and the Private Sector
The State of Open Data - AI, Data Literacy and the Private SectorTim Davies
 
Mining regions OECD future work programme
Mining regions OECD future work programmeMining regions OECD future work programme
Mining regions OECD future work programmeOECDregions
 
Alpaca ESG Data & Reporting Field Study_EXTERNAL PUBLISHING_2.12.23.pdf
Alpaca ESG Data & Reporting Field Study_EXTERNAL PUBLISHING_2.12.23.pdfAlpaca ESG Data & Reporting Field Study_EXTERNAL PUBLISHING_2.12.23.pdf
Alpaca ESG Data & Reporting Field Study_EXTERNAL PUBLISHING_2.12.23.pdfDaniel Fetner
 
Global Spatial Data - Challenges, Issues & Trends
Global Spatial Data - Challenges, Issues & TrendsGlobal Spatial Data - Challenges, Issues & Trends
Global Spatial Data - Challenges, Issues & TrendsGSDI Association
 
2. fundamentals of global strategy 2014 2 st
2. fundamentals of global strategy 2014 2 st2. fundamentals of global strategy 2014 2 st
2. fundamentals of global strategy 2014 2 stAlejandra Pasqualotto
 
Globalization in detail and international business
Globalization in detail and international businessGlobalization in detail and international business
Globalization in detail and international businessYashraj Tahilramani
 
Using DBpedia for Thesaurus Management and Linked Open Data Integration
Using DBpedia for Thesaurus Management and Linked Open Data IntegrationUsing DBpedia for Thesaurus Management and Linked Open Data Integration
Using DBpedia for Thesaurus Management and Linked Open Data IntegrationMartin Kaltenböck
 
Responsible mineral development: a multidimensional view on value creation in...
Responsible mineral development: a multidimensional view on value creation in...Responsible mineral development: a multidimensional view on value creation in...
Responsible mineral development: a multidimensional view on value creation in...Mining On Top
 

Similar to Skillshare - Understanding extractives data (20)

Intangible Assets and Spanish Economic Growth
Intangible Assets and Spanish Economic GrowthIntangible Assets and Spanish Economic Growth
Intangible Assets and Spanish Economic Growth
 
The Future of Mining
The Future of MiningThe Future of Mining
The Future of Mining
 
The Future of Mining
The Future of MiningThe Future of Mining
The Future of Mining
 
Methodologies for Addressing Risks and Opportunities Engendered by Big Data T...
Methodologies for Addressing Risks and Opportunities Engendered by Big Data T...Methodologies for Addressing Risks and Opportunities Engendered by Big Data T...
Methodologies for Addressing Risks and Opportunities Engendered by Big Data T...
 
Select usa
Select usaSelect usa
Select usa
 
A3 - Competitiveness of the Geothermal sector
A3 - Competitiveness of the Geothermal sector A3 - Competitiveness of the Geothermal sector
A3 - Competitiveness of the Geothermal sector
 
Evaluating open data
Evaluating open dataEvaluating open data
Evaluating open data
 
01 int biz.theories session 1, 2 & 3
01 int biz.theories session 1, 2 & 301 int biz.theories session 1, 2 & 3
01 int biz.theories session 1, 2 & 3
 
Open Data Institute presentation of european context
Open Data Institute presentation of european contextOpen Data Institute presentation of european context
Open Data Institute presentation of european context
 
Hack day presentation may 2013
Hack day presentation may 2013Hack day presentation may 2013
Hack day presentation may 2013
 
Statistics on Public Expenditures for Economic Development (SPEED)
Statistics on Public Expenditures for Economic Development (SPEED)Statistics on Public Expenditures for Economic Development (SPEED)
Statistics on Public Expenditures for Economic Development (SPEED)
 
The State of Open Data - AI, Data Literacy and the Private Sector
The State of Open Data - AI, Data Literacy and the Private SectorThe State of Open Data - AI, Data Literacy and the Private Sector
The State of Open Data - AI, Data Literacy and the Private Sector
 
Mining regions OECD future work programme
Mining regions OECD future work programmeMining regions OECD future work programme
Mining regions OECD future work programme
 
Alpaca ESG Data & Reporting Field Study_EXTERNAL PUBLISHING_2.12.23.pdf
Alpaca ESG Data & Reporting Field Study_EXTERNAL PUBLISHING_2.12.23.pdfAlpaca ESG Data & Reporting Field Study_EXTERNAL PUBLISHING_2.12.23.pdf
Alpaca ESG Data & Reporting Field Study_EXTERNAL PUBLISHING_2.12.23.pdf
 
Business environment
Business environmentBusiness environment
Business environment
 
Global Spatial Data - Challenges, Issues & Trends
Global Spatial Data - Challenges, Issues & TrendsGlobal Spatial Data - Challenges, Issues & Trends
Global Spatial Data - Challenges, Issues & Trends
 
2. fundamentals of global strategy 2014 2 st
2. fundamentals of global strategy 2014 2 st2. fundamentals of global strategy 2014 2 st
2. fundamentals of global strategy 2014 2 st
 
Globalization in detail and international business
Globalization in detail and international businessGlobalization in detail and international business
Globalization in detail and international business
 
Using DBpedia for Thesaurus Management and Linked Open Data Integration
Using DBpedia for Thesaurus Management and Linked Open Data IntegrationUsing DBpedia for Thesaurus Management and Linked Open Data Integration
Using DBpedia for Thesaurus Management and Linked Open Data Integration
 
Responsible mineral development: a multidimensional view on value creation in...
Responsible mineral development: a multidimensional view on value creation in...Responsible mineral development: a multidimensional view on value creation in...
Responsible mineral development: a multidimensional view on value creation in...
 

More from School of Data

Skillshare - Regression Analysis for Data Journalism
Skillshare - Regression Analysis for Data JournalismSkillshare - Regression Analysis for Data Journalism
Skillshare - Regression Analysis for Data JournalismSchool of Data
 
Skillshare - Building a data literacy community in Nigeria
Skillshare - Building a data literacy community in NigeriaSkillshare - Building a data literacy community in Nigeria
Skillshare - Building a data literacy community in NigeriaSchool of Data
 
Skillshare - Using Kobo Toolbox for mobile data collection
Skillshare - Using Kobo Toolbox for mobile data collectionSkillshare - Using Kobo Toolbox for mobile data collection
Skillshare - Using Kobo Toolbox for mobile data collectionSchool of Data
 
Skillshare - Introduction to Timemapper
Skillshare - Introduction to TimemapperSkillshare - Introduction to Timemapper
Skillshare - Introduction to TimemapperSchool of Data
 
Skillshare - Let's talk about R in Data Journalism
Skillshare - Let's talk about R in Data JournalismSkillshare - Let's talk about R in Data Journalism
Skillshare - Let's talk about R in Data JournalismSchool of Data
 
Skillshare - Introduction to Data Scraping
Skillshare - Introduction to Data ScrapingSkillshare - Introduction to Data Scraping
Skillshare - Introduction to Data ScrapingSchool of Data
 
From data to diagrams: an introduction to basic graphs and charts
From data to diagrams: an introduction to basic graphs and chartsFrom data to diagrams: an introduction to basic graphs and charts
From data to diagrams: an introduction to basic graphs and chartsSchool of Data
 
Introduction to Data Journalism
Introduction to Data JournalismIntroduction to Data Journalism
Introduction to Data JournalismSchool of Data
 
Skillshare getting feedback from training events
Skillshare  getting feedback from training events Skillshare  getting feedback from training events
Skillshare getting feedback from training events School of Data
 
Activism through the lens [english].pptx
Activism through the lens [english].pptxActivism through the lens [english].pptx
Activism through the lens [english].pptxSchool of Data
 
Gamification skillshare by Yuandra Ismiraldi
Gamification skillshare by Yuandra IsmiraldiGamification skillshare by Yuandra Ismiraldi
Gamification skillshare by Yuandra IsmiraldiSchool of Data
 
Facilitation skill share by Happy Feraren
Facilitation skill share by Happy FerarenFacilitation skill share by Happy Feraren
Facilitation skill share by Happy FerarenSchool of Data
 
Mapping Skillshare with School of Data
Mapping Skillshare with School of DataMapping Skillshare with School of Data
Mapping Skillshare with School of DataSchool of Data
 
Data Visualization & Design with School of Data
Data Visualization & Design with School of DataData Visualization & Design with School of Data
Data Visualization & Design with School of DataSchool of Data
 
Network mapping with School of Data
Network mapping with School of DataNetwork mapping with School of Data
Network mapping with School of DataSchool of Data
 

More from School of Data (17)

Skillshare - Regression Analysis for Data Journalism
Skillshare - Regression Analysis for Data JournalismSkillshare - Regression Analysis for Data Journalism
Skillshare - Regression Analysis for Data Journalism
 
Skillshare - Building a data literacy community in Nigeria
Skillshare - Building a data literacy community in NigeriaSkillshare - Building a data literacy community in Nigeria
Skillshare - Building a data literacy community in Nigeria
 
Skillshare - Using Kobo Toolbox for mobile data collection
Skillshare - Using Kobo Toolbox for mobile data collectionSkillshare - Using Kobo Toolbox for mobile data collection
Skillshare - Using Kobo Toolbox for mobile data collection
 
Skillshare - Introduction to Timemapper
Skillshare - Introduction to TimemapperSkillshare - Introduction to Timemapper
Skillshare - Introduction to Timemapper
 
Skillshare - Let's talk about R in Data Journalism
Skillshare - Let's talk about R in Data JournalismSkillshare - Let's talk about R in Data Journalism
Skillshare - Let's talk about R in Data Journalism
 
Skillshare - Introduction to Data Scraping
Skillshare - Introduction to Data ScrapingSkillshare - Introduction to Data Scraping
Skillshare - Introduction to Data Scraping
 
From data to diagrams: an introduction to basic graphs and charts
From data to diagrams: an introduction to basic graphs and chartsFrom data to diagrams: an introduction to basic graphs and charts
From data to diagrams: an introduction to basic graphs and charts
 
Introduction to Data Journalism
Introduction to Data JournalismIntroduction to Data Journalism
Introduction to Data Journalism
 
Skillshare getting feedback from training events
Skillshare  getting feedback from training events Skillshare  getting feedback from training events
Skillshare getting feedback from training events
 
Photography tips
Photography tipsPhotography tips
Photography tips
 
Activism through the lens [english].pptx
Activism through the lens [english].pptxActivism through the lens [english].pptx
Activism through the lens [english].pptx
 
Gamification skillshare by Yuandra Ismiraldi
Gamification skillshare by Yuandra IsmiraldiGamification skillshare by Yuandra Ismiraldi
Gamification skillshare by Yuandra Ismiraldi
 
Facilitation skill share by Happy Feraren
Facilitation skill share by Happy FerarenFacilitation skill share by Happy Feraren
Facilitation skill share by Happy Feraren
 
UX presentation
UX presentationUX presentation
UX presentation
 
Mapping Skillshare with School of Data
Mapping Skillshare with School of DataMapping Skillshare with School of Data
Mapping Skillshare with School of Data
 
Data Visualization & Design with School of Data
Data Visualization & Design with School of DataData Visualization & Design with School of Data
Data Visualization & Design with School of Data
 
Network mapping with School of Data
Network mapping with School of DataNetwork mapping with School of Data
Network mapping with School of Data
 

Recently uploaded

Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...amitlee9823
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysismanisha194592
 
Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...shambhavirathore45
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfLars Albertsson
 
Invezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz1
 
Carero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxCarero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxolyaivanovalion
 
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfMarket Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfRachmat Ramadhan H
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfMarinCaroMartnezBerg
 
Generative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusGenerative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusTimothy Spann
 
Best VIP Call Girls Noida Sector 22 Call Me: 8448380779
Best VIP Call Girls Noida Sector 22 Call Me: 8448380779Best VIP Call Girls Noida Sector 22 Call Me: 8448380779
Best VIP Call Girls Noida Sector 22 Call Me: 8448380779Delhi Call girls
 
Midocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxMidocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxolyaivanovalion
 
Introduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxIntroduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxfirstjob4
 
BigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxBigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxolyaivanovalion
 
Ravak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxRavak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxolyaivanovalion
 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxolyaivanovalion
 
Smarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxSmarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxolyaivanovalion
 
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% SecureCall me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% SecurePooja Nehwal
 
100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptx100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptxAnupama Kate
 
Data-Analysis for Chicago Crime Data 2023
Data-Analysis for Chicago Crime Data  2023Data-Analysis for Chicago Crime Data  2023
Data-Analysis for Chicago Crime Data 2023ymrp368
 

Recently uploaded (20)

Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
Junnasandra Call Girls: 🍓 7737669865 🍓 High Profile Model Escorts | Bangalore...
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysis
 
Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
 
Sampling (random) method and Non random.ppt
Sampling (random) method and Non random.pptSampling (random) method and Non random.ppt
Sampling (random) method and Non random.ppt
 
Invezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signals
 
Carero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxCarero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptx
 
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfMarket Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdf
 
Generative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusGenerative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and Milvus
 
Best VIP Call Girls Noida Sector 22 Call Me: 8448380779
Best VIP Call Girls Noida Sector 22 Call Me: 8448380779Best VIP Call Girls Noida Sector 22 Call Me: 8448380779
Best VIP Call Girls Noida Sector 22 Call Me: 8448380779
 
Midocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxMidocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFx
 
Introduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxIntroduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptx
 
BigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxBigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptx
 
Ravak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxRavak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptx
 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptx
 
Smarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxSmarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptx
 
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% SecureCall me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
 
100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptx100-Concepts-of-AI by Anupama Kate .pptx
100-Concepts-of-AI by Anupama Kate .pptx
 
Data-Analysis for Chicago Crime Data 2023
Data-Analysis for Chicago Crime Data  2023Data-Analysis for Chicago Crime Data  2023
Data-Analysis for Chicago Crime Data 2023
 

Skillshare - Understanding extractives data

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