Data Collection
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Data Collection
Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a research component in all study fields, including physical science, physical and social sciences, humanities, and business. While methods vary by discipline, the emphasis on ensuring accurate and honest collection remains the same. The goal for all data collection is to capture evidence that allows data analysis to lead to the formulation of credible answers to the questions that have been posed. Regardless of the field of or preference for defining data (Quantitative method, quantitative or Qualitative method, qualitative), accurate data collection is essential to maintain research integrity. The selection of appropriate data collection instruments (existing, modified, or newly developed) and delineated instructions for their correct use reduce the l ...
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Automated Weighbridge For Adélie Penguins - Journal
Automation describes a wide range of technologies that reduce human intervention in processes, mainly by predetermining decision criteria, subprocess relationships, and related actions, as well as embodying those predeterminations in machines. Automation has been achieved by various means including Mechanical system, mechanical, hydraulic, pneumatic, electrical, electronic devices, and computers, usually in combination. Complicated systems, such as modern Factory, factories, airplanes, and ships typically use combinations of all of these techniques. The benefit of automation includes labor savings, reducing waste, savings in electricity costs, savings in material costs, and improvements to quality, accuracy, and precision. Automation includes the use of various equipment and control systems such as machinery, processes in factories, boilers, and heat-treating ovens, switching on telephone networks, steering, Stabilizer (ship), stabilization of ships, aircraft and other applic ...
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Marketing
Marketing is the act of acquiring, satisfying and retaining customers. It is one of the primary components of Business administration, business management and commerce. Marketing is usually conducted by the seller, typically a retailer or manufacturer. Products can be marketed to other businesses (B2B Marketing, B2B) or directly to consumers (B2C). Sometimes tasks are contracted to dedicated marketing firms, like a Media agency, media, market research, or advertising agency. Sometimes, a trade association or government agency (such as the Agricultural Marketing Service) advertises on behalf of an entire industry or locality, often a specific type of food (e.g. Got Milk?), food from a specific area, or a city or region as a tourism destination. Market orientations are philosophies concerning the factors that should go into market planning. The marketing mix, which outlines the specifics of the product and how it will be sold, including the channels that will be used to adverti ...
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Experiment
An experiment is a procedure carried out to support or refute a hypothesis, or determine the efficacy or likelihood of something previously untried. Experiments provide insight into cause-and-effect by demonstrating what outcome occurs when a particular factor is manipulated. Experiments vary greatly in goal and scale but always rely on repeatable procedure and logical analysis of the results. There also exist natural experimental studies. A child may carry out basic experiments to understand how things fall to the ground, while teams of scientists may take years of systematic investigation to advance their understanding of a phenomenon. Experiments and other types of hands-on activities are very important to student learning in the science classroom. Experiments can raise test scores and help a student become more engaged and interested in the material they are learning, especially when used over time. Experiments can vary from personal and informal natural comparisons ...
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Shadow Effect (Genetics)
The shadow effect is a phenomenon seen in genetic studies that use noninvasive genetic data collection methods. It occurs when there are not enough loci and/or loci that have low variance of alleles within the population. As a result, researchers can capture two separate individuals and mistakenly label them as the same individual. This can create a negative bias in the data and portray a population as smaller and less genetically diverse than it is. This is most commonly seen in collection methods that rely on environmental DNA (eDNA) which is collected directly from the environment (such as feces or hair removed from the ground). The accuracy of non-invasive collection data can be increased by increasing the amount of loci being examined during the study. Background There are several types of rarefaction methods that can be used to estimate the size of a hard monitor species. The study of population size and density falls under demography, the study of populations of any kin ...
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Fraud
In law, fraud is intent (law), intentional deception to deprive a victim of a legal right or to gain from a victim unlawfully or unfairly. Fraud can violate Civil law (common law), civil law (e.g., a fraud victim may sue the fraud perpetrator to avoid the fraud or recover monetary compensation) or criminal law (e.g., a fraud perpetrator may be prosecuted and imprisoned by governmental authorities), or it may cause no loss of money, property, or legal right but still be an element of another civil or criminal wrong. The purpose of fraud may be monetary gain or other benefits, such as obtaining a passport, travel document, or driver's licence. In cases of mortgage fraud, the perpetrator may attempt to qualify for a mortgage by way of false statements. Terminology Fraud can be defined as either a civil wrong or a criminal act. For civil fraud, a government agency or person or entity harmed by fraud may bring litigation to stop the fraud, seek monetary damages, or both. For cr ...
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Systematic Error
Observational error (or measurement error) is the difference between a measurement, measured value of a physical quantity, quantity and its unknown true value.Dodge, Y. (2003) ''The Oxford Dictionary of Statistical Terms'', OUP. Such errors are inherent in the measurement process; for example lengths measured with a ruler calibrated in whole centimeters will have a measurement error of several millimeters. The error or uncertainty of a measurement can be estimated, and is specified with the measurement as, for example, 32.3 ± 0.5 cm. Scientific observations are marred by two distinct types of errors, systematic errors on the one hand, and Statistical randomness, random, on the other hand. The effects of random errors can be mitigated by the repeated measurements. Constant or systematic errors on the contrary must be carefully avoided, because they arise from one or more causes which constantly act in the same way, and have the effect of always altering the result of the experi ...
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Team
A team is a group of individuals (human or non-human) working together to achieve their goal. As defined by Professor Leigh Thompson of the Kellogg School of Management, " team is a group of people who are interdependent with respect to information, resources, knowledge and skills and who seek to combine their efforts to achieve a common goal". A group does not necessarily constitute a team. Teams normally have members with complementary skills and generate synergy through a coordinated effort which allows each member to maximize their strengths and minimize their weaknesses. Naresh Jain (2009) claims: Team members need to learn how to help one another, help other team members realize their true potential, and create an environment that allows everyone to go beyond their limitations. While academic research on teams and teamwork has grown consistently and has shown a sharp increase over the past recent 40 years, the societal diffusion of teams and teamwork actually fo ...
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Cloud Computing
Cloud computing is "a paradigm for enabling network access to a scalable and elastic pool of shareable physical or virtual resources with self-service provisioning and administration on-demand," according to International Organization for Standardization, ISO. Essential characteristics In 2011, the National Institute of Standards and Technology (NIST) identified five "essential characteristics" for cloud systems. Below are the exact definitions according to NIST: * On-demand self-service: "A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider." * Broad network access: "Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, tablets, laptops, and workstations)." * Pooling (resource management), Resource pooling: " The provider' ...
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Systematic Errors
Observational error (or measurement error) is the difference between a measurement, measured value of a physical quantity, quantity and its unknown true value.Dodge, Y. (2003) ''The Oxford Dictionary of Statistical Terms'', OUP. Such errors are inherent in the measurement process; for example lengths measured with a ruler calibrated in whole centimeters will have a measurement error of several millimeters. The error or uncertainty of a measurement can be estimated, and is specified with the measurement as, for example, 32.3 ± 0.5 cm. Scientific observations are marred by two distinct types of errors, systematic errors on the one hand, and Statistical randomness, random, on the other hand. The effects of random errors can be mitigated by the repeated measurements. Constant or systematic errors on the contrary must be carefully avoided, because they arise from one or more causes which constantly act in the same way, and have the effect of always altering the result of the experi ...
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Random Error
Observational error (or measurement error) is the difference between a measured value of a quantity and its unknown true value.Dodge, Y. (2003) ''The Oxford Dictionary of Statistical Terms'', OUP. Such errors are inherent in the measurement process; for example lengths measured with a ruler calibrated in whole centimeters will have a measurement error of several millimeters. The error or uncertainty of a measurement can be estimated, and is specified with the measurement as, for example, 32.3 ± 0.5 cm. Scientific observations are marred by two distinct types of errors, systematic errors on the one hand, and random, on the other hand. The effects of random errors can be mitigated by the repeated measurements. Constant or systematic errors on the contrary must be carefully avoided, because they arise from one or more causes which constantly act in the same way, and have the effect of always altering the result of the experiment in the same direction. They therefore alter the ...
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False Evidence
False evidence, fabricated evidence, forged evidence, fake evidence or tainted evidence is information created or obtained illegally in order to sway the verdict in a court case. Falsified Evidence (law), evidence could be created by either side in a case (including the police/prosecution in a criminal law, criminal case), or by someone sympathetic to either side. Misleading by motion to suppress, suppressing evidence can also be considered a form of false evidence (lying by omission, by omission); however, in some cases, suppressed evidence is excluded because it cannot be proved the accused was aware of the items found or of their location. The analysis of evidence (forensic evidence) may also be forged if the person doing the forensic work finds it easier to fabricate evidence and test results than to perform the actual work involved. Parallel construction is a form of false evidence in which the evidence is truthful but its origins are untruthfully described, at times in orde ...
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Data Integrity
Data integrity is the maintenance of, and the assurance of, data accuracy and consistency over its entire Information Lifecycle Management, life-cycle. It is a critical aspect to the design, implementation, and usage of any system that stores, processes, or retrieves data. The term is broad in scope and may have widely different meanings depending on the specific context even under the same general umbrella of computing. It is at times used as a proxy term for data quality, while data validation is a prerequisite for data integrity. Definition Data integrity is the opposite of data corruption. The overall intent of any data integrity technique is the same: ensure data is recorded exactly as intended (such as a database correctly rejecting mutually exclusive possibilities). Moreover, upon later Data retrieval, retrieval, ensure the data is the same as when it was originally recorded. In short, data integrity aims to prevent unintentional changes to information. Data integrity is no ...
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