Data Collection and Monitoring. 12.1 Interpreter shortages are a matter of concern. Consistent data collection and monitoring would enable reliable assessments to be made, regionally and nationally, of: • Demand by language and location • Supply of fully qualified interpreters and translators by language and location • Shortfalls between supply and demand. This in turn would facilitate planning to meet current and future needs, including provision of interpreter training courses.
12.2 This issue will be included in a project to be led by the Office for Criminal Justice Reform to address shortages of suitably qualified interpreters.
Data Collection and Monitoring. The parties will meet quarterly to exchange information about the progress of expanding CIE for individuals with disabilities, discuss any difficulties or disagreements with how the reforms are progressing, and exchange information and developments of common concern to the parties, to the extent practicable.
Data Collection and Monitoring. The parties agree that they will provide baseline data for comparison purposes and regularly collect, share, monitor and report data resulting from the implementation of this agreement. School—number and types of disciplinary actions, numbers and demographics of students involved, referrals to police. Police—number and types of school incidents for which police incident reports are written, police actions on incidents. For comparison purposes, the parties agree to retrieve the above data for a year prior to the signing of the agreement and quarterly after the signing of the agreement.
Data Collection and Monitoring. The data collection and monitoring framework considered within XXXXX was essentially in three parts. • Remote sensing and mobile mapping tools. • MPwise sensing units. • In-situ/detailed observations. Considering the remote sensing and mobile mapping tools, on one level, this may require the smallest conceptual step. For example, considering mobile mapping via the direction camera system (see deliverable DB3 “Guidelines of the mobile mapping system and remote rapid visual screening”), the difference will arise from what parameters/characteristics are of interest and what will be identified from the imagery by the interpreter. For example, identifying the level of the ground floor with respect to the street level and the presence of below-street level entrances/windows would be valuable for assessing flood vulnerability. In fact, a data analyst examining the images could classify the buildings within a multi-hazard and risk framework with little more effort than would be required for a single hazard. This therefore brings about the issue of defining taxonomies appropriate for different hazards (especially exposure and its dynamic nature), which, would itself be perhaps the most difficult task. This would be likewise appropriate for the use of remote sensing imagery (see deliverable DB1 “Guidelines for the remote-sensing assessment methodology”), where it would be the case of defining what parameters are appropriate for each hazard type which, while not at all trivial, is not conceptually removed from what was carried out in this work. The question, however, is whether it would be simply a matter of “bringing together” all the different schemes currently used (and under development) in remote sensing imagery analysis under one tool covering the different hazards remains to be seen. Next is the use of the low-cost MP-wise units. As these units are designed to be operated in connection with external sensors, one could easily imagine different devices being included, dependent upon the hazard (or hazards) of concern: geophones for earthquakes, wind vanes for storms, tide gauges for floods, etc. It is also conceivable that sensors appropriate for different hazard types be connected to the same unit. For example, a MPwise network may be established along a river´s dike system and be equipped with geophones, tide gauges and pressure meters, where the geophone may detect earthquake-induced ground shaking, the tide gauges monitor water levels (perhaps there is a con...
Data Collection and Monitoring. The parties agree that they will provide baseline data for comparison purposes and regularly collect, share, monitor and report data resulting from the implementation of this agreement. Data Collection – on a quarterly basis, the following information will be collected. School—number and types of disciplinary actions, numbers and demographics of students involved, referrals to police. Police—number and types of school incidents for which police incident reports are written, police actions on incidents. Monitoring and Oversight – on a regular basis and at least quarterly, parties acknowledge and agree that the School/Police Collaboration Team, composed of at least two members from each party, will meet to provide oversight of the agreement and review relevant data and analysis. At least annually, the Team will prepare a report of activities and make recommendations for improvements to the agreement and/or its implementation.
Data Collection and Monitoring. During the monitoring period specified in the M&V Plan, the Contractor shall require Solution Provider to conduct detailed energy and operations monitoring at the Project Site. The Solution Provider shall download and review data during this monitoring period with sufficient frequency to discover and correct issues with the data collection process or system operation. The Contractor shall conduct regular check-ins with the Project Site, to ensure non-energy data points are being collected in accordance with the M&V Plan. On a quarterly basis, the Contractor shall provide summary reports of the site data, including any issues encountered during the monitoring period.
Data Collection and Monitoring. The sponsor will train the site and be present at initiation of treatment. The sponsor will also monitor the site at various intervals and upon request expects to receive intermediate results by fax following each visit to evaluate treatment progress. Case Report Forms and Investigator Binders will be reviewed for current data. The sponsor will collect data at the end of the follow up period. The sponsor will list the study on xxxxxxxxxxxxxx.xxx as required by FDA regulations.
Data Collection and Monitoring. Describe data collection and monitoring activities necessary to support the targeted implementation schedule and reasonably assess and evaluate plan progress.
Data Collection and Monitoring. Patient demographic details, medical history and information on current medication use are collected. A 12 lead ECG will be performed at baseline and at 12 months. Blood tests will include a measurement of total cholesterol and full lipid profile, a random glucose measurement, and renal function (eGFR). These tests will be repeated at 6 and 12 months. A full blood count will also be measured at baseline. Blood pressure, waist circumference measurement, and Body Mass Index will be determined at baseline, 6 and 12 months. At the time of revascularisation (PCI or CABG), baseline troponin is measured. This will then be repeated 6 hours post PCI or 12 hours post CABG. If the troponin is raised, then a CKMB will be done at 12-24 hours post PCI or 36-72 hours post CABG. The definition of myocardial infarction is based on CKMB. See table 3.4 for detailed definitions of endpoints. All study data is recorded via an electronic case report form (eCRF). Data is monitored at all sites for completeness and quality by the contract research organization (CRO). A full data- monitoring schedule is established and an independent data monitor will verify the eCRF against the source data. Any adverse events or serious adverse events are recorded on the eCRF and forwarded to the sponsor and the CRO immediately. An independent Data Monitoring Committee reviews serious adverse events and any other trial safety issues.
Data Collection and Monitoring. The KMA team will monitor the restoration effort at the Xxxxxxxxx site per the schedule, requirements and methodologies identified in the HMP. We will collect qualitative and quantitative data to document site conditions, species diversity, vegetative cover and species percentages, wildlife usage, MSS and other special status species presence, and weed occurrences on the site. Monitoring will be conducted throughout the year to evaluate trends in native and non-native species cover, and to determine the success of the restoration effort. Annual monitoring will determine if the success criteria goals identified in the HMP are being met. We will analyze annual monitoring results to identify patterns or trends in vegetative conditions, and to determine if remedial action is needed to meet the final success criteria defined in the HMP. Data collection will utilize standardized forms as appropriate. Annual monitoring reports, which are discussed further below, will summarize the findings of each year’s activities and monitoring results.
