Data Quality Control Sample Clauses

Data Quality Control. Data shall be collected and maintained in accordance with contractor’s Quality Assurance Plan as incorporated in the contract (Section F.5.3). The overall goal of quality control is to ensure the effectiveness and efficiency of collection efforts as well as the quality of data collected. Data quality is of utmost importance. As such the contractor shall ensure the highest quality in data collected by its At-Sea Monitors. NMFS will provide a data quality rating of At-Sea Monitors to the provider on a bi-annual basis (Section J, Attachment 19, Data Quality Rating). The contractor shall use the data quality rating of At-Sea Monitors in their Quality Assurance Plan (F.5.3).
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Data Quality Control. The quality of data checked by reviewing questionnaires for completeness and relevance by the supervisors and principal investigator.
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Data Quality Control. Forsta is responsible for providing overall Service functionality and the ability to configure the Service to present data within the core capabilities of the Software. Client is responsible for checking the data and the “quality control” process needed to ensure data accuracy. Forsta is responsible for providing guidance (per Data Files section above) to ensure the structure of the data file will be compatible with the Software. Forsta is not responsible for data integrity due to inaccurate or incomplete data files and will not check nor is responsible for accuracy or complete data.
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Data Quality Control. ODV facilitates quality control of multi-parameter datasets by providing a range of au- tomatic and visual checks for easy identification and flagging of outliers and suspicious data. There is support for automated range checks of any basic variable (use option Tools>Find Outliers (Range Check)) as well as automatic statistical outlier checks for any data window currently applying the VG gridding method (use option Extras>Find Outli- ers (Field Check) of the data window’s popup menu). In both cases, ODV generates lists of suspicious data points and allows user controlled (point by point) or automatic flag- ging of the identified data. In addition to automatic quality control procedures, ODV also provides a wide range of easy-to-use visual and interactive methods for the identification and editing of outliers. For instance, you can plot all data from a given region or along a given section using data windows of SCATTER or SECTION scope, easily revealing outliers and questionable data in the entire dataset. Flagging or editing the numerical values of the spurious data is as easy as clicking on such a data point in one of the data windows and invoking the Edit Data option of the variable that you want to modify. Note that all changes made to a data collection are logged in the collection logfile. The log record includes information about the sample that was changed, the date and time of the modification, the user who made the change and the computer on which the operation was performed. You can browse the collection logfile at any time using option Collection>Browse Log File. In the example below, outliers for salinity and oxygen can easily be spotted in the plots showing the data of an entire cruise. Clicking on such an outlier point selects it as cur- rent sample, which can then be edited and/or flagged. You can hide and exclude bad or questionable data from the analysis by establishing data quality sample filters. 7 Importing XYZ Data‌ Irregularly spaced or gridded data for some quantity Z at given X and Y coordinates are commonly provided in files using three-columns for the X, Y and Z values, respectively. Examples of such XYZ datasets are (1) maps of a given Z variable (X represents longi- tude, Y represents latitude), (2) vertical sections (X=along section coordinate, Y=depth) or (3) time-evolution plots (X=some geographical coordinate, Y=time or vice versa). You can load all these XYZ files into ODV and you can analyze and display the Z data us- ing t...
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Data Quality Control. The City shall apply the following procedures for quality control of H2S data measured by different logging equipment:
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Data Quality Control. Confirmit is responsible for providing overall Dapresy Service functionality and the ability to configure the Dapresy Service to present data within the core capabilities of the Dapresy Software. Client is responsible for checking the data and the “quality control” process needed to ensure data accuracy. Confirmit is responsible for providing guidance (per Data Files section above) to ensure the structure of the data file will be compatible with the Dapresy Software. Confirmit is not responsible for data integrity due to inaccurate or incomplete data files and will not check nor is responsible for accuracy or complete data.
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Data Quality Control. A. To the extent that clients and other agencies supplying information have provided accurate data, HMIS users are responsible for the accuracy of the data they enter into the HMIS.
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Related to Data Quality Control

  • Quality Assurance/Quality Control Contractor shall establish and maintain a quality assurance/quality control program which shall include procedures for continuous control of all construction and comprehensive inspection and testing of all items of Work, including any Work performed by Subcontractors, so as to ensure complete conformance to the Contract with respect to materials, workmanship, construction, finish, functional performance, and identification. The program established by Contractor shall comply with any quality assurance/quality control requirements incorporated in the Contract.

  • Use; Quality Control a. Neither party may alter the other party’s trademarks from the form provided and must comply with removal requests as to specific uses of its trademarks or logos.

  • Quality Control A. Controlled Affiliate agrees to use the Licensed Marks and Name only in connection with the licensed services and further agrees to be bound by the conditions regarding quality control shown in attached Exhibit A as they may be amended by BCBSA from time-to-time.

  • Quality Control Program The Contractor shall describe the Quality Control Program in a written document which shall be reviewed by the Engineer prior to the start of any production, construction, or off-site fabrication. The written Quality Control Program shall be submitted to the Engineer for review at least ten (10) calendar days before the start of construction. The Quality Control Program shall be organized to address, as a minimum, the following items:

  • Quality Control Plan Within forty five (45) days after the design development documents are approved, the Design-Builder shall develop a quality control plan for the Project (the “Quality Control Plan”). A draft of the Quality Control Plan shall be submitted to the Department and shall be subject to the Department’s review and approval. The Quality Control Plan shall be tailored to the specific products/type of construction activities contemplated by the GMP Basis Documents, and in general, shall include a table of contents, quality control team organization, duties/responsibilities of quality control personnel, submittal procedures, inspection procedures, deficiency correction procedures, documentation process, and a list of any other specific actions or procedures that will be required for key elements of the Work.

  • COUNTY’S QUALITY ASSURANCE PLAN The County or its agent will evaluate the Contractor’s performance under this Contract on not less than an annual basis. Such evaluation will include assessing the Contractor’s compliance with all Contract terms and conditions and performance standards. Contractor deficiencies which the County determines are severe or continuing and that may place performance of the Contract in jeopardy if not corrected will be reported to the Board of Supervisors. The report will include improvement/corrective action measures taken by the County and the Contractor. If improvement does not occur consistent with the corrective action measures, the County may terminate this Contract or impose other penalties as specified in this Contract.

  • Compliance Control Services (1) Support reporting to regulatory bodies and support financial statement preparation by making the Fund's accounting records available to the Trust, the Securities and Exchange Commission (the “SEC”), and the independent accountants.

  • Data Integrity Control Personal Data will remain intact, complete and current during processing activities.

  • Data Input Control It will be possible to retrospectively examine and establish whether and by whom Personal Data have been entered, modified or removed from SAP data processing systems. Measures: • SAP only allows authorized personnel to access Personal Data as required in the course of their duty. • SAP has implemented a logging system for input, modification and deletion, or blocking of Personal Data by SAP or its subprocessors within the Cloud Service to the extent technically possible.

  • Power Quality Neither the facilities of Developer nor the facilities of Connecting Transmission Owner shall cause excessive voltage flicker nor introduce excessive distortion to the sinusoidal voltage or current waves as defined by ANSI Standard C84.1-1989, in accordance with IEEE Standard 519, or any applicable superseding electric industry standard. In the event of a conflict between ANSI Standard C84.1-1989, or any applicable superseding electric industry standard, ANSI Standard C84.1-1989, or the applicable superseding electric industry standard, shall control.

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