The methodology for selecting and integrating data sources and using official statistical enterprise data, questionnaires, and proxy indicators in forming the empirical basis of the study

Usmonov , Maxsud, Qodirov , Farrux

Innovation science and technologiy · 2026-yil

Annotatsiya

This paper develops a methodology for constructing an empirical research database through the systematicselection and integration of multiple data sources, including official statistics, firm-level data (accounting, managerial,transactional, and registry records), survey data, and proxy indicators for hard-to-measure constructs. A practical set ofcriteria for data source selection is proposed, covering representativeness, accuracy, coverage, temporal and spatialcomparability, data preparation costs, legal and ethical constraints, and reproducibility. The data integration workflow isdescribed step by step, encompassing identifier standardization and record linkage, harmonization of measurement unitsand classifications, panel data construction, metadata management, and version control. In addition, the study outlineskey data quality checks, such as missing data diagnostics, outlier detection, internal consistency analysis, selection bias,and linkage bias, alongside documentation standards required for transparent and robust econometric research. TheResults section presents illustrative tables and conceptual figures, including a data source matrix, an integration map, aproxy indicator catalogue, and a data quality scorecard. The paper concludes with practical recommendations for buildingreliable, auditable, and replicable empirical databases in applied economic research.

Maqola ma’lumotlari
MualliflarUsmonov , Maxsud, Qodirov , Farrux
JurnalInnovation science and technologiy
NashriyotТошкент давлат иқтисодиёт университети
Nashr sanasi2026-01-01
Jild2
Son1
TilIngliz
Ilmiy sohaIqtisodiyot
DOI10.5281/zenodo.18441828
Indeksga qo‘shilgan2026-08-26

Kalit so‘zlar

empirical database; data sources; official statistics; firm-level data; surveys; data integration; record linkage; proxy indicators; data quality; metadata.

Ilmiy soha

Iqtibos keltirish

APAUsmonov , Maxsud, & Qodirov , Farrux (2026). THE METHODOLOGY FOR SELECTING AND INTEGRATING DATA SOURCES AND USING OFFICIAL STATISTICAL ENTERPRISE DATA, QUESTIONNAIRES, AND PROXY INDICATORS IN FORMING THE EMPIRICAL BASIS OF THE STUDY. Innovation science and technologiy, 2(1). https://doi.org/10.5281/zenodo.18441828
GOST (OAK)Usmonov , Maxsud, Qodirov , Farrux THE METHODOLOGY FOR SELECTING AND INTEGRATING DATA SOURCES AND USING OFFICIAL STATISTICAL ENTERPRISE DATA, QUESTIONNAIRES, AND PROXY INDICATORS IN FORMING THE EMPIRICAL BASIS OF THE STUDY // Innovation science and technologiy. – 2026. – T. 2, № 1. – DOI: 10.5281/zenodo.18441828.
MLAUsmonov , Maxsud, and Qodirov , Farrux. “THE METHODOLOGY FOR SELECTING AND INTEGRATING DATA SOURCES AND USING OFFICIAL STATISTICAL ENTERPRISE DATA, QUESTIONNAIRES, AND PROXY INDICATORS IN FORMING THE EMPIRICAL BASIS OF THE STUDY.” Innovation science and technologiy, 2(1), 2026. https://doi.org/10.5281/zenodo.18441828
ChicagoUsmonov , Maxsud, and Qodirov , Farrux. “THE METHODOLOGY FOR SELECTING AND INTEGRATING DATA SOURCES AND USING OFFICIAL STATISTICAL ENTERPRISE DATA, QUESTIONNAIRES, AND PROXY INDICATORS IN FORMING THE EMPIRICAL BASIS OF THE STUDY.” Innovation science and technologiy, 2(1) (2026). https://doi.org/10.5281/zenodo.18441828
HarvardUsmonov , Maxsud, and Qodirov , Farrux (2026) ‘THE METHODOLOGY FOR SELECTING AND INTEGRATING DATA SOURCES AND USING OFFICIAL STATISTICAL ENTERPRISE DATA, QUESTIONNAIRES, AND PROXY INDICATORS IN FORMING THE EMPIRICAL BASIS OF THE STUDY’, Innovation science and technologiy, 2(1). https://doi.org/10.5281/zenodo.18441828
BibTeX
@article{usmonovmaxsud2026,
  title = {THE METHODOLOGY FOR SELECTING AND INTEGRATING DATA SOURCES AND USING OFFICIAL STATISTICAL ENTERPRISE DATA, QUESTIONNAIRES, AND PROXY INDICATORS IN FORMING THE EMPIRICAL BASIS OF THE STUDY},
  author = {Usmonov , Maxsud and Qodirov , Farrux},
  journal = {Innovation science and technologiy},
  year = {2026},
  volume = {2},
  number = {1},
  doi = {10.5281/zenodo.18441828},
  url = {https://doi.org/10.5281/zenodo.18441828}
}

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