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STS700 Suman R. A.
information would only be realized if the statistical community could make
some efforts to develop scientific methods and standards. The major challenge
at this moment is how to make scientific inference based on Big Data.
Nepal has initiated some measures to expedite the usefulness of Big Data.
NSDS has clearly mentioned the role of the Big Data in Nepal's NSS. Central
Bureau of Statistics is looking forward to use the data held by the
telecommunication and the E-banking system. Now GoN is planning to
prepare tourism satellite accounts. CBS is supporting the concerned ministry.
Some of the information might be collected through ATM transaction, super
market data and CDR. This will enable to make some consumption statistics.
The emergence of the Big Data has changed the traditional concept of
triangulation in statistical governance. Majority of the Big Data are owned by
private and quasi-public sector and they have become the data holder. This
new approach is the combination of conventional parts (i.e data producers,
respondents and users) and the big data data holders.
It is not uncommon that the majority of least developed and developing
countries are lacking of suitable statistical and information infrastructures. The
crunch of human resources is another limitation. The globe should take care
of these matters for efficient use of Big Data.
References
1. Central Bureau of Statistics (2017). Statistical System of Nepal.
2. Central Bureau of Statistics (2018). National Strategy for the
Development of Statistics (in Nepali language).
3. Central Bank of Nepal (2019). Monetary and financial statistics.
4. Nepal Telecommunication Authority (2019). Management Information
System Report-NTA MIS143.
5. Pradhan P., Shakya S. (2018). Big Data Challenges for e-government
services in Nepal
6. United Nations. www.un.org/en/sections/issues-depth/big-data-
sustainable-development.html
7. United Nations Statistics Commision (2019). 50th session of the Statistical
Commission.
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