Measures for ensuring data quality. Motorola Solutions policies require processing of all personal information in accordance with applicable law, including when that law requires ensuring the quality and accuracy of data. Further, Motorola Solutions conducts privacy assessments of its products and services and evaluates if those products and services support the principles of processing, such as ensuring data quality.
Measures for ensuring data quality. Identification and assessment of reasonably foreseeable internal and external risks to the security, confidentiality, and/or integrity of any electronic, paper or other records containing Subscriber Data, and evaluation of and implementation of improvements, where necessary, to the effectiveness of the current safeguards for limiting such risks.
Measures for ensuring data quality. ○ Lxxxx and its Clinical Research Organizations have implemented procedures for data validation and accuracy checks. ○ Lxxxx has no means to allow data subjects to review and correct their data as Lixte does not have this level of data.
Measures for ensuring data quality. Following processes are used to ensure data quality: dbt Generic Tests and Singular tests, Source Data and Schemas tests, Model logic tests, Integration tests, Dependency check, Code Quality tests, PR review process
Measures for ensuring data quality. The Controller must ensure there are documented processes and routines to ensure that personal data must be accurate and up to date.
Measures for ensuring data quality. Hero shall have sole responsibility for the accuracy, quality, and legality of the Customer Data and the means by which Hero acquired the Customer Data. Data that is processed is monitored by Kajabi to ensure it is accurate, complete and reliable for purposes of providing the Services and Platform.
Measures for ensuring data quality o Správné postupy správy údajů o klinickém hodnocení a uplatňování centralizovaného monitorování, včetně programového datového čistění, přezkoumání údajů studijním týmem, sledování údajů, sladění více datových zdrojů atd., s cílem zajistit úplnost a kvalitu údajů. o Good clinical data management practices and apply centralized monitoring efforts including programmatic data cleaning, study team data reviews, data surveillance, multi-data source reconciliation, etc. to ensure data completeness and quality. o Zavedené zásady dovozce údajů a schopnost řešit žádosti vývozce údajů nebo subjektů údajů v souvislosti s jejich právy. o Data importer policies in place and has the ability to address requests from data exporter or data subjects in relation to their rights. o Subjekty klinického hodnocení dodržují postupy klinického pracoviště týkající se žádostí o práva subjektů údajů. Práva personálu klinického pracoviště týkající se subjektů údajů jsou podporována na základě ověřených žádostí adresovaných dovozci údajů. o Clinical trial subjects follow clinical site procedures for data subject rights requests. Clinical site personnel data subject rights are supported upon verified requests to data importer.
