Using Big Data in Official Statistics for Sustainable Development
KHADRA RACHEDI1 and FATIMA RACHEDI2
2University ofLarbi Ben Mhidi, Oum El Bouagui, Algeria,
A large amount of data is characterized by large size, diversity, and speed, making it an important source of official statistics, one of whose objectives is to monitor progress in achieving the goals of sustainable development. This chapter will tiy to address the importance of large data in improving and updating the statistical production process to strengthen the development agenda of sustainable development and highlight some models in countries and the large data sources used.
The statistical data are important sources for studying different phenomena and making critical planning decisions. This requires sufficient statistical data that allow conducting social and economic studies of a purposeful scientific dimension, where they are often derived from census, demographic surveys, and other traditional sources that play a major role in achieving sustainable development goals.
Thanks to the immense development of technology, data have witnessed a great revolution that its weight manifested in the emergence of the “big data,” which do not stop accumulation and diversity. As one of the most recent scientific disciplines, analyzing big data contributed to the development of many areas like health, marketing, and security due to many developed programs and applications that allow using them.
Based on the previous discussion, we proposed the following question:
How do these data contribute to developing the official statistics for sustainable development?
- 21.2 BASIC CONCEPTS
- 1. Data: It is the raw material for making data, and these data are in the form of numbers or images or pictures or non-titled or organized texts what make them difficult to be examined and analyzed.
- 2. Big Data: This concept demonstrates the accumulation of the increasing sources of information, and it’s analyzing is huge in a way that is beyond the capacities of storage and analysis that were provided by first equipment and programs, what was achieved by the development of storing data capacity, and widening the scope of available data . These are the results of major social and technological changes.
Generally, scientists agreed on four types of big data. We summarize them in the following:
- • Structural data: This includes numbers and facts, easy to classification, and analysis.
- • Video files, documents, and what is alike: (nonstmctural) difficult in the analysis as a subject of its owners’ points of view, so they are subjective.
- • Data produced by digital sensors.
- • Another type described by specialists “the big data of administrative registrations, digital books, and weather.” They are of a great size what makes them classified within this type of data.
Big data have characteristics known by 3V: the big volume, the flow velocity, and variety, in addition to other characteristics: value and veracity, so we have the 5V.
3. Official Statistics: They are the set of statics produced by governmental institutions and recognized international organizations, and they are associated with all general life aspects such as demographic and health statics, transportation, and agriculture.
Their main sources are the demographic and economic census, surveys by sample and administrative records, and others. These help to provide adequate indicators that reflect how much development programs are advanced, and they help to identify future needs.
4. Sustainable Development: UN defines sustainable development as the development that can meet the present’s needs without compromising the ability of the next generations to reach their own needs. Sustainable development calls for corporate efforts for building the future for people where the earth is for all, sustainable, and resilient
For achieving sustainable development, it has to succeed between three elementary points: economic growth, social integration, and protecting the environment. These three elements are interrelated and all critical for the welfare of individuals and societies.
- 5. Sustainable Developments Objectives: It is to call all poor, rich, and middle-income economies to work for enhancing prosperity regarding the protection of the earth. These objectives are recognized by the fact that poverty eradication has to be linked to str ategies that build economic growth. It also deals with social needs, including education, health, social security, job opportunities, and treating climate change and environment protection.
- 6. Monitoring Sustainable Development Objectives: This is done using a set of indicators that allow measuring the achievement of 17 objectives designed by the member nations in the UN, 2015, which can be accessed only by statistical data.
The objectives are:
- • Poverty eradication;
- • Eliminating famines and hunger totally;
- • Good health and welfare;
- • Good education;
- • Gender equality;
- • Healthy water and health facilities;
- • Industry, innovation, and infrastructures;
- • Reducing contrast;
- • Sustainable local cities and societies;
- • Responsible consumption and production;
- • Climatic works;
- • Life underwater;
- • Life on land;
- • Peace, work, and strong institutions;
- • Partnership to achieve goals.