explain why data organization is an important part of scientific inquiry?
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One of the most important processes in any scientific investigation. For data to be useful, it must accurately describe the phenomena that are being investigated. ... For certain observations, it may be the only data that can be collected. This data collected on different observations is not easy to analyze and compare.
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They stress the importance of collecting empirical data as part of monitoring and evaluation efforts to form an information system. The purpose of such a system is to inform management decision- making and to document project effects.
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Importance Of Organizing. ... Organizing is the function that managers undertake to design, structure, and arrange the components of an organization's internal environment to facilitate attainment of organizational goals. Organizing creates the framework needed to reach a company's objectives and goals.
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Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data.
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Data structure is a process through which data is stored and arranged in the disk space of the computer or memory storage, in a way that the data can be easily used and manipulated in the future. It is an effective way of performing various operations related to data management.
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"Research data is defined as recorded factual material commonly retained by and accepted in the scientific community as necessary to validate research findings; although the majority of such data is created in digital format, all research data is included irrespective of the format in which it is created."
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Data structures provide a means to manage large amounts of data efficiently for uses such as large databases and internet indexing services. Usually, efficient data structures are key to designing efficient algorithms.
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Data collection is the process of gathering and measuring information on variables of interest, in an established systematic fashion that enables one to answer stated research questions, test hypotheses, and evaluate outcomes.
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Data analysis is the process of working on data with the purpose of arranging it correctly, explaining it, making it presentable, and finding a conclusion from that data. It is done for finding useful information from data to make rational decisions.
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['Accuracy. As the name implies, this data quality characteristic means that information is correct. ... ', 'Completeness. “Completeness” refers to how comprehensive the information is. ... ', 'Reliability. ... ', 'Relevance. ... ', 'Timeliness.']
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Data are simply facts or figures — bits of information, but not information itself. When data are processed, interpreted, organized, structured or presented so as to make them meaningful or useful, they are called information. Information provides context for data.
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File organization refers to the way data is stored in a file. File organization is very important because it determines the methods of access, efficiency, flexibility and storage devices to use. There are four methods of organizing files on a storage media.
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Data elements are terms that we use to describe functions carried out in the computational process such as over networks. As with protocols it is important to define these processes so that some standardization of these functions can take place across various networks.
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['Volume. Massive volumes of data, challenges in cost-effective storage and analysis.', 'Velocity. The rate at which data is produced and changes, and also how fast the data must be processed to meet business requirements.', 'Variety. The diversity in the formats and types of data. ... ', 'Variability. ... ', 'Veracity. ... ', 'Value.']
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SCIENTIFIC METHOD IS THE MOST IMPORTANT THING IN SCIENCE. Basically, science is a systematic study of anything which could be examined, tested, measured, analyzed and verified to find the truth about the object of study itself.
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It is through data collection that a business or management has the quality information they need to make informed decisions from further analysis, study, and research. Without data collection, companies would stumble around in the dark using outdated methods to make their decisions.
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Data analysis is the most crucial part of any research. Data analysis summarizes collected data. It involves the interpretation of data gathered through the use of analytical and logical reasoning to determine patterns, relationships or trends.