Data Quality Assurance. In order to ensure the data quality standards, Pro Public will reasonably meet the five standards of data quality as mentioned in USAID (ADS 203) framework.
i) Validity
ii) Integrity
iii) Precision
iv) Reliability
v) Timeliness Data quality will be ensured by cross-checking the data receive from the field visits. Project staff will make their presence on major activities and facilitate capacity building in reporting to DFs. In addition, project team make realizes the importance of data quality to DFs and local coordinators
Data Quality Assurance. Explain what standards will apply for data quality and how errors will be handled.
Data Quality Assurance. 9.1 The Parties collate data on waste collection and record that information through DEFRA's data recording system known as “Waste Data Flow”. The Parties agree to adopt the Audit Commission’s code of practice on data quality standards as set out in Schedule 6, Part C (The Standards for Better Quality Data, A Voluntary Code of Practice) in order to ensure the accuracy, validity, reliability, timeliness, relevance, completeness and security of information.
9.2 The Parties agree to apply the data quality standards within each partner organisation, ensuring that there is periodic reinforcement of the value placed on data quality.
9.3 The Parties agree to adopt a policy with regard to data quality of ‘getting it right first time’ with a view to avoiding waste in the form of time and money spent on cleansing data. The Parties aspiration with regard to data quality is to be 100% accurate 100% of the time.
9.4 The Parties agree to continue to take the preparation and reporting of performance information seriously and demonstrate commitment to improve data quality.
Data Quality Assurance. All subject data relating to the study will be recorded on eCRFs unless transmitted to the Sponsor or designee electronically (eg, laboratory data). The Investigator is responsible for verifying that data entries are accurate and correct by electronically signing the eCRF. • The Investigator must maintain accurate documentation (source data) that supports the information entered in the eCRF. • The Investigator must permit study-related monitoring, audits, IRB/IEC review, and regulatory agency inspections and provide direct access to source data documents. • The Sponsor or designee is responsible for the data management of this study including quality checking of the data. Management of clinical data will be performed in accordance with applicable Sponsor-approved standards and data cleaning procedures to ensure the integrity of the data. • Study monitors will perform ongoing source data verification to confirm that data entered into the eCRF by authorized site personnel are accurate, complete, and verifiable from source documents; that the safety and rights of subjects are being protected; and that the study is being conducted in accordance with the currently approved protocol and any other study agreements, ICH GCP, and all applicable regulatory requirements. All clinical study documentation must be retained by the Investigator until at least 2 years after the last approval of a marketing application in an ICH region (ie, US, Europe, or Japan) and until there are no pending or contemplated marketing applications in an ICH region; or, if no application is filed or if the application is not approved for such indication, until 2 years after the investigation is discontinued and regulatory authorities have been notified. Investigators may be required to retain documents longer if required by applicable regulatory requirements, by local regulations, or by an agreement with the Sponsor. The Investigator must notify the Sponsor before destroying any clinical study records. The study site and the record retainer should take measures in such a way that these records are not lost or abandoned during the designated period of preservation and that they are presented upon request. The protocol, protocol amendments, informed consent form, Investigator’s Brochure, and any other relevant materials, including accompanying material to be provided to the subject (eg, advertisements, subject information sheets, or descriptions of the study used to obtain informed consent) wi...
Data Quality Assurance. ● All participant data relating to the study will be recorded on printed or electronic CRF unless transmitted to the sponsor or designee electronically (e.g. laboratory data). The Investigator (or designee) is responsible for verifying that data entries are accurate and correct by physically or electronically signing the CRF. ● The investigator must maintain accurate documentation (source data). ● The investigator must permit study-related monitoring, audits, IRB review, and regulatory agency inspections and provide direct access to source data. ● Monitoring details describing strategy (e.g. risk-based initiatives in operations and quality such as Risk Management and Mitigation Strategies and Analytical Risk-Based Monitoring), methods, responsibilities and requirements, including handling of noncompliance issues and monitoring techniques (central, remote, or on-site monitoring) are provided in the Monitoring Plan. ● The sponsor or designee is responsible for the data management of this study including quality checking of the data.
Data Quality Assurance. Several quality assurance measures were implemented to ensure that data were of high quality. In addition to the training described above, supervisors and E2A/Pathfinder staff monitored the fieldwork to ensure completeness of data and to ensure adherence to assessment guidelines. A data quality consultant also collected data independently in randomly selected facilities. This data was not significantly different from those collected by the research assistants. Field teams also met daily to review their work, discuss problems and challenges, explore ways to improve data-collection activities, and plan for the following day.
Data Quality Assurance. The project will not only utilize a variety of data collection tools, but in doing so, the project will employ data quality assurance procedures/mechanism to help us decide if the data is valid, attributable, truthful, precise, reliable, and timely.
Data Quality Assurance. Information shared under this agreement will be adequate to help with the effective discharge of Derbyshire IOM arrangements. It will be relevant and not contain excessive detail which is beyond that required for the agreed purpose. Information discovered to be inaccurate, out-of-date or inadequate for the purpose should be notified to the originating owner of the data who will be responsible for correcting the data and notifying all other recipients of the information who must make sure the correction is made. Partner agencies will ensure that there is an effective management regime to monitor data quality, and that the arrangements for information sharing are fit for purpose.
Data Quality Assurance. All participant data relating to the study will be recorded on printed or electronic CRF unless transmitted to Alexion or designee electronically (eg, laboratory data). The Investigator is responsible for verifying that data entries are accurate and correct by physically or electronically signing the CRF. • The Investigator must maintain accurate documentation (source data) that supports the information entered in the CRF. • The Investigator must permit study-related monitoring, audits, IRB/IEC review, and regulatory agency inspections and provide direct access to source data documents. • Alexion or designee is responsible for the data management of this study including quality checking of the data. • Study monitors will perform ongoing source data verification to confirm that data entered into the CRF by authorized site personnel are accurate, complete, and verifiable from source documents; that the safety and rights of participants are being protected; and that the study is being conducted in accordance with the currently approved protocol and any other study agreements, ICH GCP, and all applicable regulatory requirements. • Records and documents, including signed ICFs, pertaining to the conduct of this study must be retained by the Investigator for a minimum of 25 years after study completion, unless local regulations or institutional policies require a longer retention period. No records may be destroyed during the retention period without the written approval of Xxxxxxx. No records may be transferred to another location or party without written notification to Xxxxxxx.
Data Quality Assurance. In order to properly analyze the data, it was necessary to examine data quality by comparing the data to projected values. As more data were collected, these data were also compared to previous data sets. If a significant discrepancy was identified, the source of the variation was investigated. Each data element was assessed to ensure the quality of the data collection and transmission. If the monthly data set follows previous trends and does not appear to be a drastic outlier, further confirmation of the data set integrity was performed by reviewing operation and identifying any variances that may have affected the data set. These operational conditions were reviewed with on-site personnel to determine if any variances in operations occurred, such as an accident or significant under-utilization. If a trailer did experience one of the preceding, it was assessed further to determine if the collected data were outliers. If the data were identified as outliers, they were removed from the monthly analysis.
