{ "_id": "6ab7259e99f7aa8c6aa2fddc", "Package": "DCC", "Type": "Package", "Title": "Data Cleaning Center for Survey and Assessment Data", "Version": "1.2.1", "Authors@R": "c(\nperson(\"Kunxiang\", \"Ma\", role = c(\"aut\", \"cre\"),\nemail = \"makunxiang@weiandata.com\"),\nperson(\"WEIAN DATA TECH (Beijing) Co., Ltd.\",\nrole = c(\"cph\", \"fnd\"), email = \"contact@weiandata.com\"))", "Description": "Rule-driven, auditable cleaning of survey and assessment\nresponse data, implementing the WeianData Detect-Execute-Report\nworkflow. Provides a multi-format, multi-encoding input layer\n(CSV, 'Excel', 'SPSS', 'Stata', 'SAS', Parquet, JSON), the\ndcc_data container with a provenance chain, level-0 structural\ndiagnostics, five built-in response-quality detectors (missing\nitems, straight-lining, response time, trap items, score\nanomalies), a declarative YAML rule engine, an execution engine\nwith a cell-level audit log, answer-key scoring, multi-form to\nmaster item bank mapping, a normalized report model rendered as\nbilingual staff workbooks and HTML, complete statistical\nbundles, and versioned machine JSON/JSONL with\nfindings-to-changes reconciliation, cell-level lineage tracing,\nand manifest-based one-command reproduction. Includes a\nprotected bilingual strict project workbook and matching JSON\ncontract with cell-addressed validation, non-mutating\npreflight, preview-first execution, and localized staff\nguidance. 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