|Title of the contribution
|Dr. Andrea Diniz da Silva
|Use of Big Data in Official Statistics: State of Art in Latin America and the Caribbean
|The Covid-19 pandemic pushed National Statistical Institutes (NSIs) to consider alternative data sources to replace or complement surveys. The United Nations Global Platform Regional Hub for Big Data in Brazil conducted a study of the extent Big Data are used for official statistics in Latin America and the Caribbean with the NSIs in the region. The study comprised a web scraping on the NSI websites and a consultation sent to the Institutes. This paper provides an overview of the present Big Data practices and the challenges identified by the Institutes for making Big Data a feasible source for official statistics.
|Ms. Aberash Tariku Abaye
|Pre and post pandemic approaches in data collection, opportunities, challenges, lessons learned and way foreword- the case of Ethiopia
|"Methods and approaches used in data collection affects the data quality. Most developing countries used to conduct paper base face to face data collection. The COVID 19 pandemic has forced countries to review the data collection methods. Electronic data collection and transfer is adopted in post pandemic era. Virtual training for field staff is also utilized. These new approaches used in post pandemic brought different improvements. However, some challenges are also faced which needs to be addressed properly.
Timeliness and improvement in quality due to imbedded validation programs are achieved where as data lose, data transfer and connection problem, financial and technical capacity are some of the challenges.
Setting data backup system , further data quality checks, sustainable technical and financial support are expected to address the challenges"
|Mr. Edgar Vielma
|Lessons from the management of the COVID-19 crisis in the generation of sociodemographic statistics
|The Covid-19 pandemic has been a challenge that forced the redesign of face-to-face data collection methods to maintain the generation of statistical information. All statistical programs were affected: population census, household surveys, and collection through administrative records. The most important lessons learned are: i) the generation of official statistics as an essential activity; ii) the challenge of maintaining a relationship of trust with the target population; iii) having robust risk management; iv) implementing innovative methods (telephone and self-enumeration data collection, as well as the use of small area models to disaggregate indicators at the sub-national level); v) extending the use of ICTs, and vi) strengthening inter-institutional collaboration. This made it easier for INEGI to provide quality and timely socio-demographic statistics, such as the results of the population census, statistics on employment, and deaths statistics.