123yangjiangtao/data: data

Read full text
Authors: Jiangtao Yang
Cited by: 0

Abstract

This Zenodo record provides the archived, citable dataset snapshot used in the Scientific Data (Article) submission “A machine-readable dataset and evidence map for enterprise data quality studies”. Scope and corpus:- Systematic evidence map of enterprise data quality (EDQ) studies.- Included corpus: N=106 studies published between 1995 and 2025 (72 English, 33 Chinese, 1 industry report).- The dataset is designed for reproducible evidence mapping and benchmarking of EDQ evaluation and management practices. Files in this record:1) data.xlsx - Included-study list (N=106) with bibliographic profiling variables and screening outcomes. 2) yjt_data.xlsx - Machine-readable coding table (one row per study), including: - Evaluation–Method–Tool (EMT) coding variables - C1–C12 challenge tags with ordinal depth (0/1/2) How to reuse:- Use data.xlsx to identify and profile the included study corpus.- Use yjt_data.xlsx to conduct EMT-layer evidence mapping and C1–C12 challenge analyses.- Please cite this Zenodo DOI when reusing the dataset or derived results. Important note (current snapshot limitations):- This record currently does not include a separate codebook PDF or reproduction scripts. The dataset files (data.xlsx and yjt_data.xlsx) constitute the archived snapshot used for analysis in the associated manuscript.

Fields of Study & Subjects

Data Quality and Management Research Data Management Practices Meta-analysis and systematic reviews

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
18 January 2026