Document analysis, data collection

A draft RI report should be produced for review by the support agency and submitted to the Agency for Toxic Substances and Disease Registry (ATSDR) for its use in preparing a health assessment and also to serve as documentation of data collection and analysis in support of the FS. The draft RI report can be prepared any time between the completion of the baseline risk assessment and the completion of the draft FS. Therefore, the draft RI report should not delay the initiation or execution of the FS. 

Incident management Agency notification and mobilization Mobilization of facilities and equipment Internal direction and control External coordination Public information Administrative and logistical support Documentation (incident data collection and after-action analysis) Incident recovery (resource assessment and replacement) Demobilization Agency notification and mobilization Mobilization of facilities and equipment Internal direction and control External coordination Public information Administrative and logistical support Documentation (incident data collection and after-action analysis) Incident recovery (resource assessment and replacement) Demobilization... 

The goals for recruiting undergraduate researchers for this project were three-fold. First, due to the complexity of the experimental test series, it was desirable to recruit additional team members to contribute to model construction, experiment documentation, and data collection/analysis. Second, several graduate students participating on the project team had expressed... 

The research was carried through observational methods (total of ten situated observation using film and photography records) and interactional (total of eight conversational action and provoked and spontaneous actions) as well as documental analysis. The collected information through conversational actions along with the collective analysis were transcribed through the matrix of commentary inclusion (Vidal 2012). The analysis of the activity has enabled to obtain data that was submitted to constant restitutions and validations. 

The following techniques can be used to collect data about human performance in CPI tasks and provide input to task analysis methods described in Section 4.3. These data can include process information critical for the task, control strategies used by the workers, diagnostic plans etc. A distinction can be made among data collection methods that provide qualitative data (such as interviews, observations, and sources of documentation) and methods that can be used to measure aspects of performance (such as activity analysis, simulations, and information withholding). The latter methods can provide more precise data which can be quantified. 

Qualitative and quantitative acceptance criteria for the PARCC parameters are derived in the planning phase. Whether they are specific statistical values or represent accepted standards and practices, they must be always selected based on the project objectives and be appropriate for the intended use of the data. The DQI acceptance criteria are documented in the SAP and serve as standards for evaluating data quality and quantity in the assessment phase of data collection process. The primary DQIs are established through the analysis of field and laboratory QC samples and by adhering to accepted standards for sampling and analysis. 

Under the PBMS approach, prescriptive analytical methods of today will give way to performance-based methods that are focused on the analysis of project-specific contaminants of concern under project-specific QC requirements. These QC requirements will be selected based on the need of the regulatory program that requires data collection and will support the production of valid data of known and documented quality. 

Another procedure error is the lack of documentation during analysis that hinders the reconstruction of results during data evaluation in the assessment phase of the data collection process. Substituting analytical methods without client s consent is another procedure error that may have far reaching consequences for data use. 

The EPA developed a document titled Guidance for Data Quality Assessment, Practical Methods for Data Analysis, EPA QA/G-9 (EPA, 1997a) as a tool for project teams for assessing the type, quality, and quantity of data collected for projects under the EPA oversight. This document summarizes a variety of statistical analysis techniques and is used primarily by statisticians. DQA, however, is not just a statistical evaluation of the collected data. It is a broad assessment of the data in the context of the project DQOs and the intended use of the data, which requires a... 

A lab notebook is used as the record of lab work and data collection as it occurs. Researchers often use lab notebooks to document hypotheses and data analysis. A good lab notebook should allow another scientist to follow the same steps. Electronic lab notebooks are growing in popularity. 

Clear, well-documented, and appropriate methodology for data collection and analysis... 

Any document used to collect research data on clinical study subjects may be genetically classed as a data collection form. These completed forms provide evidence of the research conducted. The most common type of data collection form is the CRF. Other types of data collection forms include diary cards, dispensing records, quality of life forms, etc. The CRF must allow for proper analysis of the data and proper reporting of the data in the final clinical study report and it must reflect the protocol exactly no more and no less data must be collected. Thus, a CRF must be created for each clinical study and must be prepared in parallel with the protocol. CRFs are usually also prepared by spon-sors/CROs in pharmaceutical industry research because of the demanding requirements for their design and contents. 

Well-known and documented techniques exist to monitor product variation while it is within the producer s environment. Most of the techniques require the observations or data to be statistically independent. That is, the data for a specific performance measurement are assumed to have no relationship to prior or successive observations. It is assumed that no correlation exists between data collected prior to or following a specific observation. The techniques used to monitor such data are collectively called statistical process control (SPC). These techniques are utilized in consumer-oriented industries. Some of the more prominent or useful techniques are presented in this chapter. Specifically, seven tools for SPC are reviewed, and their applicability is examined. Furthermore, common and improved approaches for process capability analysis are presented. 

The most common methods of data collection in qualitative research designs are interviews, observations, and document analysis. 

The third most common method for collecting data in qualitative research designs is known as document analysis. While the thoughts, words, and actions of research subjects are essential, generating thick description requires a complete description of the context in which these dioughts and words are formed and actions take place. Course syllabi, copies of lab experiments, copies of student evaluation forms, and copies of research proposals are typical examples of documents gathered to analyze in a qualitative research design. 

The log section of fieldnotes includes the factual information regarding the date and site of data collection, the type of data collection (covert participant observation, focus group interview, document analysis of student evaluations, etc.), the names of both the research subjects and the researchers collecting the data, and a statement of the purpose of this data collection activity. 

The data collected from the three phases mentioned above, along with any relevant analysis and other documentation, are submitted in the form of a safety data package to the relevant NASA safety panel to obtain final safety approval for flight. 

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