EIS Data definition

EIS Data means the employment information system
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EIS Data means the employment information system data maintained by the State Board on educators within Organizational Units.
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Examples of EIS Data in a sentence

  • Greene, and C.H. Tsai, “Analysis of EIS Data for Common Corrosion Processes,” in Electrochem.

  • For the avoidance of doubt, MCK will be responsible for migration to any new EIS Data Center, including design, implementation and testing.

  • A dedicated project is currently analysing national environmental information systems in more detail and preparing guidance for good practices: European Commission, EIS Data.

  • The team completed its Report of the Review of the Hanford Solid Waste Environmental Impact Statement (EIS) Data Quality, Control and Management Issues, January 2006 (hereafter referred to as the Quality Review).Because both Ecology and DOE havea shared interest in the effective cleanup of Hanford, DOE and Ecology announced a Settlement Agreement ending the NEPA litigation on January 9, 2006.

  • The EIS Data Services team has been working with KC Project Work Group Leads to identify instances where comment fields are needed for reporting, and therefore would be copied to the MSUEDW.

  • Table 3: Unit-Level Widget Data Fields, Definitions, and Associated EIS Data Field Names Unit ID Internal ID set by the FRS.

  • Nurse signature: _ Date: Documentation 2019-06-01 Aboriginal Identity Declaration 2020-2021 EIS Data CollectionAboriginal Identity Declaration helps to support the efforts of Manitoba Education and Advanced Learning and school divisions to plan and improve programs in a way that is responsive to Aboriginal learners.

  • An Athlete can exercise each right by contacting UK Sport's or EIS' Data Protection Officer, whose details are in Section I.

  • The frequency range in combination with a commonly available external waveform generator should be 10 μHz - 30MHz. The applied frequency resolution should be 0.005% or better.Measured EIS Data presentation: Real-time fit and simulation analysis as well as ‘live’ data plotting option for the simulation plot must be available as default software protocol.

  • It is anticipated that this program will not only fill in data gaps identified by the EIS Data Gap Analysis Report, completed in 2008, but also satisfy additional DTSC sampling requirements following the Area IV RFI group reports.

Related to EIS Data

  • Anonymous Data means Personal Data that has been processed in such a manner that it can no longer be attributed to an identified or identifiable natural person.

  • Subject Data As used in this section, “subject data” means recorded information, whether or not copyrighted, that is delivered or specified to be delivered as required by the Underlying Agreement. Examples of subject data include, but are not limited to computer software, standards, specifications, engineering drawings and associated lists, process sheets, manuals, technical reports, catalog item identifications, and related information, but do not include financial reports, cost analyses, or other similar information used for performance or administration of the Underlying Agreement.

  • Pseudonymous data means information that cannot be attributed to a specific individual without the use of additional information provided that it is kept separately and subject to appropriate technical and organizational measures to ensure that it is not attributed to the individual.

  • Sensitive Data means a category of personal data that includes:

  • input data means data provided to or directly acquired by an AI system on the basis of which the system produces an output;

  • Client Data means all data or records of whatever nature in whatever form relating to the Client, its operations, facilities, assets, employees, students or otherwise relating to its business, whether subsisting at the date of this Agreement, or created or processed in connection with the Services or as provided by the Client to the Supplier in connection with the Services. Client Data shall include all Client Personal Data

  • Customer Data means any content, materials, data and information that Authorized Users enter into the production system of a Cloud Service or that Customer derives from its use of and stores in the Cloud Service (e.g. Customer-specific reports). Customer Data and its derivatives will not include SAP’s Confidential Information.

  • Open Book Data means complete and accurate financial and non-financial information which is sufficient to enable the Customer to verify the Call Off Contract Charges already paid or payable and Call Off Contract Charges forecast to be paid during the remainder of this Call Off Contract, including details and all assumptions relating to: the Supplier’s Costs broken down against each Good and/or Service and/or Deliverable, including actual capital expenditure (including capital replacement costs); operating expenditure relating to the provision of the Goods and/or Services including an analysis showing: the unit costs and quantity of Goods and any other consumables and bought-in services; manpower resources broken down into the number and grade/role of all Supplier Personnel (free of any contingency) together with a list of agreed rates against each manpower grade; a list of Costs underpinning those rates for each manpower grade, being the agreed rate less the Supplier’s Profit Margin; and Overheads; all interest, expenses and any other third party financing costs incurred in relation to the provision of the Services; the Supplier Profit achieved over the Call Off Contract Period and on an annual basis; confirmation that all methods of Cost apportionment and Overhead allocation are consistent with and not more onerous than such methods applied generally by the Supplier; an explanation of the type and value of risk and contingencies associated with the provision of the Goods and/or Services, including the amount of money attributed to each risk and/or contingency; and the actual Costs profile for each Service Period.