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Big Data and Official Statistics: Opportunities, Challenges and Risks
8 references·0 citing·33 second hop
Big Data and Official Statistics: Opportunities, Challenges and Risks (2015)Big Data and Official Statistics: Opportu…Big Data and Official Statistics (2018)Big Data and Official Statist…The Proliferation of “Big Data” and Implications for Official Statistics and Statistical Agencies (2015)The Proliferation of “Big Dat…Big Data, Official Statistics and Some Initiatives by the Australian Bureau of Statistics (2015)Big Data, Official Statistics…Big Data as a Source for Official Statistics (2015)Big Data as a Source for Offi…The Data Revolution: Big Data, Open Data, Data Infrastructures & Their Consequences (2014)The Data Revolution: Big Data…Official statistics and Big Data (2014)Official statistics and Big D…Big Data: A perspective from the BLS (2013)Big Data: A perspective from …Predicting the Present with Google Trends (2012)Predicting the Present with G…A Theory for Record Linkage (1969)Manuscript Preparation (1997)Big data: The next frontier for innovation, competition, and productivity (2011)The opportunities, challenges and risks of big data for official statistics (2015)Big Data ethics and selection-bias: An official statistician’s perspective (2018)Big Data as a Game Changer: How Does It Shape Business Intelligence Within a Tourism and Hospitality Industry Context? (2019)Latin American Economic Outlook (2009)The World’s Technological Capacity to Store, Communicate, and Compute Information (2011)Big data: a revolution that will transform how we live, work, and think (2014)Access to New Data Sources for Statistics: Business Models and Incentives for the Corporate Sector (2017)What Is Data Science? (2019)Big data: a revolution that will transform how we live, work, and think (2013)Changes in air passenger demand as a result of the COVID-19 crisis: using Big Data to inform tourism policy (2020)Measuring objective and subjective well-being: dimensions and data sources (2020)A review of scientific advancements in datasets derived from big data for monitoring the Sustainable Development Goals (2021)CRITICAL QUESTIONS FOR BIG DATA (2012)Big Data in Survey Research (2015)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)The five V’s, seven virtues and ten rules of big data engagement for official statistics (2020)Official statistics and big data in Latin America: Data enclosures and counter-movements (2024)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Doing Data Science: Straight Talk from the Frontline (2013)Combining official and Google Trends data to forecast the Italian youth unemployment rate (2017)Machine Learning at Central Banks (2017)The Big (data) Bang: Opportunities and Challenges for Compiling SDG Indicators (2019)Spatial Fay–Herriot models for small area estimation with functional covariates (2014)Comparing Price Indices of Clothing and Footwear for Scanner Data and Web Scraped Data (2019)In Search of Attention (2011)Big data in tourism research: A literature review (2018)Text as Data (2019)The social power of algorithms (2016)Thinking critically about and researching algorithms (2016)When data is capital: Datafication, accumulation, and extraction (2019)
this work references cited by second hop

References

  • 2012Predicting the Present with Google Trends2,353 cited
  • 2014The Data Revolution: Big Data, Open Data, Data Infrastructures & Their Consequences1,463 cited
  • 2015Big Data as a Source for Official Statistics131 cited
  • 2014Official statistics and Big Data108 cited
  • 2015Big Data, Official Statistics and Some Initiatives by the Australian Bureau of Statistics76 cited
  • 2015The Proliferation of “Big Data” and Implications for Official Statistics and Statistical Agencies44 cited
  • 2018Big Data and Official Statistics24 cited
  • 2013Big Data: A perspective from the BLS23 cited

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