METHODS OF DATA COLLECTION Sample Clauses

METHODS OF DATA COLLECTION. 10.3.1 Multiple sources of input into the summative evaluation rating are required.
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METHODS OF DATA COLLECTION. Three methods of data collection were adopted in this study. These are:
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METHODS OF DATA COLLECTION. 6.1. Consent2Go ensures that all data collected from an individual is collected in a lawful and ethical manner, and is collected from either the end-user or the school directly.
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METHODS OF DATA COLLECTION. 10.11.5.1 The evaluator is responsible for ensuring that each staff member is familiar with the methods of data collection. These include:
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METHODS OF DATA COLLECTION. Day 1 a) In-depth face-to-face interviews with leaders and teachers of teaching schools: • Director of the teaching school alliance • Head teacher and other key members of senior leadership team (SLT) • Middle leaders and full time teachers b) Focus group interview: Pupils in different year groups Day 2 & Day 3 (half day) a) Focus group interview: Key strategic partners who are leading on ‘the Big 6’ priorities b) Focus group interview: Other key stakeholders (e.g. governors, the brokers) c) Face-to-face (or telephone) interviews: head teachers (or a member of the SLT from each school) of 3 partner schools which receive support from the teaching schools Day 3 (half day) Telephone interviews: head teachers (or a member of the SLT) of 3 adjacent schools not in the alliance Days 4 & 5 Report writing: Completing the narrative profile of the case study teaching school alliance The Contractor shall conduct Face-to-face or telephone interviews with a non-random selection of officials from the Department who have been involved in designating teaching schools and their regional associates (n=6-10). The Contractor shall analyse all interviews and discussion groups shortly after they have been conducted to ensure that emerging themes are fed into the research process. In-depth, detailed narrative profiles of individual teaching schools will be constructed after the first visit and these profiles will be updated throughout the lifetime of the project. The profiles will include the shape, make-up and governance structure of the alliances, how these evolve over time, and their perceived effectiveness of their strategies to achieve ‘the big 6’ objectives, to strengthen the maturity of inter-school partnerships within the alliances, and through these, to enhance their impact. These profiles and other forms of qualitative data will be coded, categorised and transferred into analytical matrices, which will be used to refine emergent themes, identify patterns, focus subsequent data collection, and synthesize key attributes at and across individual school levels. These techniques will facilitate comparisons between schools and alliances at different points in time during this evaluation. The Contractor shall conduct an online survey with schools, both teaching schools and strategic partners, from the first three cohorts of teaching school alliances. The Contractor shall agree questionnaire design with the Department prior to any survey work taking place. To secure satisfactor...
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METHODS OF DATA COLLECTION. Field surveys in the ICBS are performed by face-to-face interviews either by using a tablet or laptop computer – CAPI or by data collection using paper questionnaires in the case of the Household Expenditure Survey - PAPI. Currently, intensive work on increasing the share of data collection by telephone interviews based on Call Centers is conducted - CATI method. Also a broad introduction of interview via Internet is planned – CAWI method. In the last three cases, it is essential to link the address data with the x,y coordinates to the correct location of the data collection points in the territory (an address points localization). This will allow proper updating of the spatial statistical databases and hence efficient channel management (CAxI) supported by a common system management of data collection supported by GIS tools - multichannel system management for data collection. The integration of all data containing x,y coordinates obtained from several channels of data collection is essential to reduce the burden of the interviewers' network and proper interactive management of interviewers in the field work with usage of GIS tools.
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Related to METHODS OF DATA COLLECTION

  • Data Collection Some downloaded software included in the Materials may generate and collect information about the software and usage and transmit it to Intel to help improve Intel’s products and services. This collected information may include product name, product version, time of event collection, license type, support type, installation status, hardware and software performance, and use. 9.

  • Details of Data Processing (a) Subject matter: The subject matter of the data processing under this DPA is the Customer Data.

  • Monthly Data Download Not later than fifteen (15) days after the end of each month, beginning with the month in which the Commencement Date occurs and ending with the Final Shared-Loss Month, Assuming Institution shall provide Receiver:

  • Local Interconnection Data Exchange for Billing 7.7.1 There are certain types of calls or types of Interconnection that require exchange of Billing records between the Parties, including, for example, alternate billed and Toll Free Service calls. The Parties agree that all call types must be routed between the networks, accounted for, and settled among the Parties. Certain calls will be handled via the Parties' respective operator service platforms. The Parties agree to utilize, where possible and appropriate, existing accounting and settlement systems to xxxx, exchange records and settle revenue.

  • Data Collection and Reporting 1. Grantee shall develop and use a local reporting unit that will provide an assigned location for all clients served within the Hospital. This information shall also be entered into Client Assignment and Registration (CARE)when reporting on beds utilized at the Hospital.

  • Sample Collection The collection and testing of the samples shall be performed only by a laboratory and by a physician or health care professional qualified and authorized to administer and determine the meaning of any test results. The laboratory performing the test shall be one that is certified by the National Institute of Drug Abuse (NIDA). The laboratory chosen must be agreed to between the Union and the Employer. The laboratory used shall also be one whose procedures are periodically tested by the NIDA where they analyze unknown samples sent to an independent party. The results of employee’s tests shall be made available to the Medical Review Officer. Collection of urine samples shall be conducted in a manner, which provides the highest degree of security for the sample and freedom from adulteration. Recognized strict chain of custody procedures must be followed for all samples as set by NIDA. The Union and the Employer agree that security of the biological urine samples is absolutely necessary therefore the Employer agrees that if the security of the sample is compromised in anyway, any positive test shall be invalid and may not be used for any purpose. Urine samples will be submitted as per NIDA Standards. Employees have the right for Union or legal counsel representative to be present during the submission of the sample. A split sample shall be reserved in all cases for an independent analysis in the event of a positive test result. All samples must be stored in a scientific acceptable preserved manner as established by NIDA. All positive confirmed samples and related paperwork must be retained by the laboratory for at least six (6) months or for the duration of any grievance, disciplinary action or legal proceedings whichever is longer. At the conclusion of this period, the paperwork and specimen shall be destroyed. Tests shall be conducted in a manner to ensure that an employee’s legal drug use and diet does not affect the test results.

  • Collection of Data The Insured acknowledges being informed that the Insurer processes his personal data in accordance with regulations relative to the protection of personal data in effect and that, moreover: - the answers to the questions asked are mandatory and that in the event of false declarations or omissions, the consequences for him may be invalidity of the subscription to the contract (article L 113-8 of the Insurance Code) or the reduction of indemnities (article L 113-9 of the Insurance Code), • The processing of personal data is necessary for acceptance and execution of its contract and its guarantees, for the management of commercial and contractual relationships, and for the execution of legal, regulatory or administrative provisions in effect. • The data collected and processed is kept for the period necessary for execution of the contract or the legal obligation. This data is then archived in accordance with the durations specified by the provisions relative to time limits. • The recipients of the data concerning him are, within the limits of their powers, the services of the Insurer in charge of signature, management and execution of the Insurance Contract and guarantees, its delegates, agents, partners, subcontractors and reinsurers, within the framework of their duties. It can also be sent, if necessary, to professional bodies as well as to all persons involved in the contract such as lawyers, experts, court officials and ministerial officers, trustees, guardians or investigators. Information concerning him may also be transmitted to the Underwriter, as well as to all persons authorized as Authorized Third Parties (courts, arbitrators, mediators, relevant ministries, supervisory and regulatory authorities and all public bodies authorized to receive it as well as departments in charge of control such as statutory auditors, auditors as well as departments in charge of internal control). • In its capacity as a financial organization, the Insurer is subject to the legal obligations resulting mainly from the Monetary and Financial Code with regard to money laundering and against the financing of terrorism and, as such, it monitors contracts, which may result in the drafting of a declaration of suspicion or a measure of freezing of assets. The data and documents concerning the Insured are kept for a period of five (5) years from the end of the contract or termination of the relationship. • His personal information will also be able to be used within the framework of processing to fight against insurance fraud, which may lead, if applicable, to placement on a list of persons presenting a risk of fraud. This registration may have the effect of extending examination of his case, or even the reduction or refusal of the benefit of a right, benefit, contract or service offered. In this context, personal data concerning him (or concerning persons or parties who are interested in the contract may be processed by any authorized persons working within the entities of the Insurer Group in the context of the fight against fraud. This data may also be intended for the authorized personnel of organizations directly concerned by fraud (other insurance organizations or intermediaries; judicial authorities, mediators, arbitrators, court officials, legal officers; third-party organizations authorized by a legal provision and, if applicable, victims of acts of fraud or their representatives). In the event of a fraud alert, the data is kept for a maximum of six (6) months to qualify the alert and then deleted, unless the alert is relevant. In the event of a relevant alert, the data is kept for up to five (5) years following closure of the fraud case, or until the end of the legal proceedings and the applicable limitation periods. For people registered on a list of suspected fraudsters, their data is deleted after 5 years from the date of placement on this list. • In its capacity as insurer, it is founded in carrying out the processing of data relative to violations, condemnations and measures of security, either at the time of subscription of the insurance contract, or during the period of execution, or within the framework of the handling of legal action. • Personal data may be used by the Insurer within the framework of processing implemented by the insurer, the purpose of which is research and development to improve the quality or relevance of its future insurance or assistance products and service offers • Personal data concerning him may be accessible to some of the Insurer's employees or service providers established in countries outside the European Union. • By proving his identity, the Insured has a right of access, rectification, deletion and opposition concerning the data processed. He also has the right to ask to limit the use of his data when it is no longer necessary, or to recover, in a structured format, the data that he has provided when it was necessary for the contract or when he consented to the use of this data. He has the right to provide instructions relative to the fate of his personal data after his death. These instructions, general or specific, concern the storage, removal and communication of his data after his death. These rights can be exercised with the Insurer's Data Protection Representative: - by email: sent to XXXX@XXXXXXXX.xx or - by postal mail: by writing to the following address: Délégué représentant à la protection des données – MUTUAIDE ASSISTANCE – 000, xxx xx xx Xxxxxx – 93196 Noisy le Grand. After having made a request to the Data Protection Representative without having received satisfaction, he has the possibility of contacting the CNIL (Commission Nationale de l'informatique et des Libertés).

  • RECOVERY PROCEDURES The nature and severity of any disaster will influence the recovery procedures. One crucial factor in determining how BellSouth will proceed with restoration is whether or not BellSouth's equipment is incapacitated. Regardless of who's equipment is out of service, BellSouth will move as quickly as possible to aid with service recovery; however, the approach that will be taken may differ depending upon the location of the problem.

  • DATA COLLECTION AND ANALYSIS The goal of this task is to collect operational data from the project, to analyze that data for economic and environmental impacts, and to include the data and analysis in the Final Report. Formulas will be provided for calculations. A Final Report data collection template will be provided by the Energy Commission. The Recipient shall: • Develop data collection test plan. • Troubleshoot any issues identified. • Collect data, information, and analysis and develop a Final Report which includes: o Total gross project costs. o Length of time from award of bus(es) to project completion. o Fuel usage before and after the project.

  • Sources of Data A full description of documentation and other information, if applicable, relied upon by the IRO in performing the Transactions Review.

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