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Estrategy Smart Data
Strategic alignment
Vision 2018
National Development
Plan 2014 – 2018 NES
Smart Data
Strategy
Strategic Plan
Innovation Plan
2015 - 2018
Big data
Objective
STRENGTHEN
PRODUCTION Administrative records
GENERATION
DISSEMINATION
ALTERNATIVE SOURCES / NON
TRADITIONAL METHODS
Priority lines
Sustainable Development Goals
National Census of Population and Housing
Other statistical operations
Source integration
Time
Innovation Plan 2015 - 2018
DEFINE
Actions
Alliances
Budget
Source integration Use of administrative records for population projections. SI-COLE Upgrading of urban levels of the National Geostatistical Framework, incorporating administrative records
Sustainable Development Goals Using satellite images to calculate land use and land cover statistics
National Census of Population and Housing Mobile data usage to optimize the census operation.
Other statistical operations Measuring variations of CPI prices through Webscraping Scanner data to CPI Subjective poverty measurement using Big Data Big Data as input for updating the Statistical Directory, using techniques of extracting data from web pages.
Technologial infrastructure
Phases of execution
Experimental phase ● Pilot projects ● Identify how the different
methods contribute to the statistical process and determine the feasibility and impact on it.
Incorporation phase ● Specify the path and
institutional requirements for the incorporation of smart data in the statistical production process
● Run actions for incorporating non-traditional and alternative sources in the statistical production process
Sustainability phase ● Create the institutional
framework to continue the strategy of Smart data over time.
To contrast To complement To generate new statistics
Viable
Not viable
Innovation, Learning and Knowledge management
Measuring variations of CPI prices through Webscraping
OPEN ACCESS TO DATA / NO CONFIDENTIAL DATA
Six Supermarkets Web pages (part Mercado). 6471 articles downloaded. 37% of items downloaded are in the CPI.
Subjective poverty measurement using Big Data OPEN ACCESS TO DATA
/ NO CONFIDENTIAL DATA
Social network Twitter. Database with 7760 tweets marked.
“I need to be fifteen again so I can save a lot of money for
what I want to do now”
“When I got into that store
everything was so magic until I realized that
I don´t have any money”
“I hope it does not rain
this week cause is my mother´s birthday
and I need to ride my bike this
week so I can save some money”
Using satellite images to calculate land use and land cover statistics
OPEN ACCESS TO DATA / NO CONFIDENTIAL DATA
Landsat 2010 Landsat 2015
Landsat 2005 http://earthexplorer.usgs.gov/
Imágenes satelitalesU. S. Geological Survey -USGS /Barranquilla AM
Access to Data ● Public sector
institutions. There is not free access to the data : micro dato ICFES, Ministerio Educación, DANE. Access is managed under the NES
Confidential Data ● Results at educational
institution and schools, (aggregate statistical information)
SI-COLE
Lessons learned and recommendations
● The methodological design of the reference statistical operation must be
taken into account.
●Document each stage of the project (design, implementation, results, evaluation)
● The participation of an interdisciplinary group that makes contributions
from their different visions, for improving procedures and propose alternatives to the project
● Make research and technology the pillars of the process
●Disclose the results, both at the intermediate steps and the final steps,
receiving feedback about the processes performed.
● Relationship with the public is still complex for access to information.
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