[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-170973-105":53,"doc-detail-170973-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","scope-and-application-data-query-management-procedures","Scope and application - Data query management - Procedures","","Defines scope, responsibilities, and core concepts for managing data queries in clinical data management. Establishes key components from identifying inconsistencies through raising, responding, updating data, and closing or re-raising queries. Specifies how teams detect issues via quality control or ongoing database review, and how queries are documented in electronic systems or via paper Data Query Forms (DQF) and Data Query Logs (DQL). Provides guidance on clear, non-leading query phrasing and tracking during the full lifecycle.",{"@graph":63,"@context":122},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":51,"@type":70,"position":76},"https://docshare.wps.com/template/general/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/scope-and-application-data-query-management-procedures/170973/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/scope-and-application-data-query-management-procedures/170973.png","ImageObject",442,249,{"name":88,"@type":89},"Jordan Avery","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/vnd.openxmlformats-officedocument.wordprocessingml.document","2026-09-26","2026-09-01",true,{"@type":98,"interactionType":99,"userInteractionCount":47},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114,118],{"name":105,"@type":106,"acceptedAnswer":107},"What are the five basic components of the data query management process?","Question",{"text":108,"@type":109},"They are identifying a possible inconsistency, raising a query, responding to the query, updating the data if applicable, and closing or re-raising the query.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"How should a query be written when raising it?",{"text":113,"@type":109},"Keep the question short and clear, avoid leading wording, and maintain consistency across similar queries using templates when recurring.",{"name":115,"@type":106,"acceptedAnswer":116},"How are queries handled in projects using paper CRFs?",{"text":117,"@type":109},"A paper Data Query Form (DQF) is completed with the query, requester details, date, and relevant data section, then sent to the site. Each DQF must be logged in the Data Query Log (DQL) throughout the query lifecycle.",{"name":119,"@type":106,"acceptedAnswer":120},"When can a query be closed or re-raised?",{"text":121,"@type":109},"A query can be closed after a final check when all applicable updates have been done. If the site response is not satisfactory, the Data Manager or Monitor can re-raise it, adding new questions or re-wording if needed.","https://schema.org",{"og:url":78,"og:type":124,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":126,"canonical":78},"index,follow",{"doc_id":128,"site_id":56},170973,1788278370,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":88,"user_avatar":133,"doc_module":9,"category_id":50,"category_name":51,"doc_title":59,"doc_description":61,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":47,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":76,"language":139,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":61,"update_tm":129,"read_time":9},1099523882367,"https://ap-avatar.wpscdn.com/davatar_9964176cb1d06d4a9deccf72a44ae3dc","Scope and application\nResponsibilities\nDefinitions\nCRF: \tCase Report Form\npCRF:\tPaper Case Report Form\neCRF:\telectronic Case Report Form\nDQF: \tData Query Form\nDQL:\tData Query Log\nProcedures\nA flowchart of the Data Query process is provided in Appendix 2.\nThere are 5 basic components in the query management process\nIdentifying a (possible) inconsistency or uncertainty\nRaising a query\nResponding to the query\nUpdating the data (if applicable)\nClosing or re-raising a query\nIdentifying a (possible) inconsistency\nAn error or discrepancy can be identified by a member of the study team through the team’s own adopted quality control.\nAn error or discrepancy can be identified by the data manager or monitor through   on-going review and data cleaning checks in the trial database (SOP-WP3-07-Data Validation & Review)\nClarification on any participant information or variable that needs further evaluating.\nRaising a query\nIn case an error is found, or clarification is needed a query can be raised. This query describes the question being posed about an issue with a particular data point. The raised queries should be logged, describing who raised them and when.\nWhen raising queries:\nKeep the question as short but as clear as possible.\nQuestions should not be leading (e.g. write ‘Please recheck this value on the source and confirm’ rather than to ask ‘Is the value 5’)\nKeep consistency between similar questions. Templates can be useful for recurring queries.\n4.2.1. Projects using electronic CRFs\nMost electronic clinical data management systems have an internal system to raise, log and track queries. Please refer to the help files of the specific software for how to handle queries. Terminology might deviate from the one used in this SOP.\nWhen the software used is not capable of providing all the necessary query tracking, additional tracking mechanisms might need to be applied.\n4.2.2. Projects using paper CRFs - Data Query Forms (DQF)\nWhen paper CRFs are used, a paper DQF (see Attachment 01) should be used to write the query. This document should contain the query, the name and function of the person raising the query, the date of the query and the section of data it describes. This document is then sent to the site.\nPrior to sending DQFs to the site, each must be logged in the Data Query Log (DQL) (see Attachment 02). The DQL should be updated throughout the query process, starting with raising the query and ending with the closing of the query.\nResponding to a query\nThe site (data collection) staff should respond to any queries raised. Any questions raised in the query should be responded to, and where needed extra clarification should be given. If anything is unclear, the site can ask for further clarification in their response.\nIn electronic systems the query can be responded to in the system itself. Where paper versions are used, or the system does not have a query management tool, the responses should be registered on the DQF and sent back to the Data Manager/Monitor.\nUpdating the data (if applicable)\nAfter responding to the query, the data can be updated where needed. Data updates should be done by data entry/collection staff. Self-evident queries may be updated by the Data Manager but should still be documented. Updates in the data should be logged either in the electronic audit trail, or another logging system (e.g. On paper documents, the change should be signed and dated)\nClosing or re-raising a query\n4.5.1. Closing a query\nQueries can be closed by the Data Manager or Monitor (depending on who raised the query) after a final check. The response should be satisfactory that all applicable updates should have been done.\n4.5.2. Re-raising the query\nIn cases where the site response is not satisfactory the query can be re-raised by the Data Manager or Monitor. Additional questions might be raised, or the original question might need to be re-worded if it was not clear.\nAttachments\nDocument History and References\nApproval","cbCaipezIHlaSa3g","https://ap.wps.com/l/cbCaipezIHlaSa3g","docx",165030,"English","# Responsibilities\n## Definitions\n## Procedures\n## Projects using electronic CRFs\n## Projects using paper CRFs - Data Query Forms (DQF)\n## Responding to a query\n## Updating the data (if applicable)\n## Closing or re-raising a query\n### Closing a query\n### Re-raising the query\n# Attachments\n## Document History and References\n## Approval","[{\"question\":\"What are the five basic components of the data query management process?\",\"answer\":\"They are identifying a possible inconsistency, raising a query, responding to the query, updating the data if applicable, and closing or re-raising the query.\"},{\"question\":\"How should a query be written when raising it?\",\"answer\":\"Keep the question short and clear, avoid leading wording, and maintain consistency across similar queries using templates when recurring.\"},{\"question\":\"How are queries handled in projects using paper CRFs?\",\"answer\":\"A paper Data Query Form (DQF) is completed with the query, requester details, date, and relevant data section, then sent to the site. Each DQF must be logged in the Data Query Log (DQL) throughout the query lifecycle.\"},{\"question\":\"When can a query be closed or re-raised?\",\"answer\":\"A query can be closed after a final check when all applicable updates have been done. If the site response is not satisfactory, the Data Manager or Monitor can re-raise it, adding new questions or re-wording if needed.\"}]","Scope and application - Data query management - Procedures | DOCX"]