{"id":"W4406764237","doi":"10.9734/jerr/2025/v27i21391","title":"Continuous Data Quality Improvement in Enterprise Data Governance: A Model for Best Practices and Implementation","year":2025,"lang":"en","type":"article","venue":"Journal of Engineering Research and Reports","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"TD Bank Group","funders":"","keywords":"Data governance; Data quality; Process management; Computer science; Enterprise data management; Best practice; Quality (philosophy); Corporate governance; Quality management; Knowledge management; Business; Enterprise information system; Engineering; Management system; Operations management","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08909798,0.002575728,0.002122526,0.007269203,0.006605141,0.02936769,0.007829905,0.01418316,0.003444658],"category_scores_gemma":[0.0643578,0.00203279,0.003208062,0.007138576,0.03576705,0.03393642,0.01608604,0.01464899,0.001694609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03307718,"about_ca_system_score_gemma":0.04986669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01543143,"about_ca_topic_score_gemma":0.009443491,"domain_scores_codex":[0.9015213,0.06561561,0.005652955,0.007969528,0.01558572,0.003655],"domain_scores_gemma":[0.9266064,0.03646425,0.006164607,0.01029199,0.0155361,0.004936707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001846093,0.0001392338,0.0009679091,0.0004378048,0.0000593631,0.00009578686,0.002968482,0.00567768,0.0002270271,0.9613519,0.004017717,0.02403856],"study_design_scores_gemma":[0.00007568789,0.0001916682,0.0005277946,0.001754968,0.00005390312,0.0001003276,0.002303855,0.01634244,0.000425125,0.9052352,0.07289094,0.00009808724],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007222913,0.006032694,0.658269,0.2529716,0.0007904091,0.001873942,0.0002389866,0.0006956283,0.0719048],"genre_scores_gemma":[0.2441954,0.007692927,0.7201875,0.0147352,0.0005693504,0.004717711,0.000449005,0.0002686429,0.007184142],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08909798,"threshold_uncertainty_score":0.4712008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4479770837374659,"score_gpt":0.5894965732693396,"score_spread":0.1415194895318737,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}