Data collection phase

After the data collection phase of a clinical trial is completed and its collected data are analyzed, collected data are archived centrally, usually at the coordinating center, for future reference. The data archive method depends on the data collection system. In paper-based data collection system, the physical paper forms may need to be archived for a specified period of time. Scanning... 

For existing substances, the data collection consists of three phases. The ESR was initially concerned with the so-called HPVCs (High Production Volume Chemicals). HPVCs are those substances, which are covered by the data collection phases I and II of the ESR, i.e., those substances which have been imported or produced in quantities exceeding 1000 tons per year and produced/imported between March 23 1990 and March 23 1994. During phase I, 1884 substances were extracted from EINECS - referred to as the HPVC list these substances are listed in Annex I of ESR. The total list of substances reported under phases I and II of the Regulation is now referred to as the EU-HPVC list. 

All the data have to be submitted in a specific electronic format HEDSET (Harmonised Electronic DataSET) and is managed by the lUCLID (Section 2.4.1.6). All companies, which have submitted a data set in any of the three data collection phases are required to update the information, at least once every 3 years. 

It is dear all experiments follow a design—either the data collection phase is consdmsly planned or fate will run its course. This is critical to realize because the experiments have a direct impact on the results. For example, it is not possibfcto estimate a slope and intercept with only one data point (a minimum of tw are required). Another simple example of poor planning is to calibrate a viscometer without compensating for varying temperature. Because viscosity depend on temperature, this information is needed to construct the... 

Throughout the data collection phase unexpected complications were encountered in the pilot application because calculations obtained from the ERP system were often not comparable across plants. Even if the same ERP system was used (which was not the case for all sites considered), different conventions were used for distributing costs across products. Additionally, recipes pulled from the ERP system often did not reflect the actual recipes employed in production. For example, significant differences in absolute raw material quantities required and relative relationship between the different raw materials were found. As similar problems are also reported in the literature discussing practical applications of mathematical modeling approaches (e.g., Kallrath 2000, p. 817 Lee and Billington 1995, p. 46), this appears to be the norm rather than a company-specific exception. 

From the perspective of the time required for modeling, it is apparent that a very important aspect of the data collection phase is ensuring that the pharmacometri-cian takes the time to prepare for the modeling. This preparatory work should include finalization of the data analysis plan, preparation of model building procedures, and construction of a template or templates for the report. In this way, the data collection phase can shorten the time required for modeling. 

By definition, the microcanonical ensemble contains all possible configurations in the 6N-dimensionaI phase space with the same energy and a constant probability of being in each configuration N is the number of particles in the system under consideration. This ensemble describes an isolated system with constant N and V, or constant N and zero external pressure [28]. Constant-energy simulations are not recommended for equilibration because, without the energy flow facilitated by the temperature control methods, the desired temperature cannot be achieved. However, during the data collection phase, if one is... 

In a concurrent study, the qualitative and quantitative data collection and analysis take place simultaneously with the outcomes continuously informing each other. Bunce, VandenPlas, and Havanki 4) used this design when investigating the impact of a student response system and WebCT quizzes on student achievement and attitudes. A variety of quantitative measures were augmented with free response questions in the data collection phase. The combination and integration of quantitative and qualitative findings expanded the breadth and depth of the outcomes from the study. 

Task criticalities evaluation connection between the phase of the task criticalities evaluation and the methods used for the task analysis itself (likely chance data collection phase is missing much of the information useful in the evaluation phase). 

The duration of the measurement depends upon the width of the size distribution being evaluated. In general, the measurement time is proportional to 1/D. In some implementations the cell is moved slowly dming the data collection phase. This can reduce the overall measurement time but at some risk to the final resolution. 

The survey was sent to 446 employees overall in four firms (see Table 21 for distribution between firms). The data collection phase lasted one month for each firm and took place in 2011. After two weeks, a reminder was sent to the employees. 173 responses could be collected, which yielded an overall response rate of 38,8%. Of these responses, 24 were discarded, as they were not filled out to a sufficient degree. This left 149 valid answers for the anafysis. These 149 responses were full responses with no missing data in the focal constructs of the study. Some of the questions, which were sensible (e.g job satisfaction) were optional, and were not provided by all of the respondents. 

The QAPP included a QA/QC (quality assurance/quality control) sample collection protocol for the field data collection phase as well as for the laboratory analysis phase. 

Following the vulnerability assessment data-collection phase, the information must be presented in a usable format that will aid decision makers in implementing measures to increase the safety and secnrity of the complex. If this phase is not conducted in a timely and effective manner, the previous steps will likely be negated. The primary purpose of the report is to prioritize vulnerabilities that pose the greatest risk to the school and/or school district. There are several helpfnl tips to consider when developing the final report (U.S. Department of Edncation, 2008). 

Data collectiom It is proposed that the data collection phase of the pilot study will comprise the following three different error data collection procedures ... 

Victorian Police Accident Reporting. The first component of the data collection phase will involve the collection of error-related data during the reporting of accidents occurring at intersections in Victoria within a specified time frame. The prototype error and contributing condition taxonomies as presented will be used to develop an additional accident reporting pro forma which will be used by dctoria Police officers to collect error-related data at the scene of accidents which occur at intersection sites. 

This structured process should include a design phase, a data collection phase and a data analysis phase. Just to be aware and plan (design) how to use expert knowledge, is an advance compared to how small risk assessment often are done today. A simple mechanical aggregation, if relevant, without behavioral aggregation or weighting, will simplify the analysis phase. 

The nse of qnantitative and/or qualitative measures is also an important consideration when planning for the data collection phase of critical analysis. Quantitative measnres are typically numerical, and qualitative measures are textual. Qualitative variables are aggregate indicators of the magnitude of concepts, whereas qualitative variables show the character or content of concepts. It is important to keep in mind that neither qnantitative nor qnalitative variables are better or worse. The use of either type of data should be consistent with the research questions that one is asking, and should not be determined becanse one has a preference for statistical or quaUtadve analysis. 

The data collection phase should preferably be completed before the start of the Tender phase. This will allow the Contractor to make an accurate assessment of the working conditions and will also avoid annoying surprises for all Parties involved during the execution of the Works. 

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