The research and other methods of science involve observations and asking doubts about it. Scientists create the hypotheses depend on the observations and then create the experiments which are controlled for gathering and analyzing the data. By utilizing this data, they can conclude the results and form questions for new scientific research.
The experiment is important for the study of science and it serves as the heart of science. Scientists raise questions, collect their evidence, share ideas, and analyze data. The factors which affect the result of the experiment should be regulated or kept constant. When the experiment is designed, the main purpose of the experiment should first be identified. The dependent and independent variables should be determined, as the purpose of the designed experiment is meant to know how one variable influences the other. An easy experiment must have only one independent variable. Also, one group in the experiment must be used as a control group, a designated group can act as a comparative reference point. This group can never have a manipulated independent variable. For the research to be accepted, it should be shared within the scientific group. Scientists often place in communities and communicate research with some other groups. This should follow a particular procedure to make sure that communication is more specific. By publishing the results of the research in scientific journals helps the scientists to share their ideas, and allows other scientists to evaluate and for testing the data analysis given.
Avoiding errors:
It is necessary to design an experiment that shows the correct results without any errors. Scientists normally aim to be objective, but they are people and possess their ideas. Due to this, data from scientific research can be interpreted in various ways by various scientists. The experiment should not possess a large sample size. It helps to identify the minute changes in the test subjects which can lead to incorrect results.
The data points should be included completely, as it is tempting to pull away from the data points that are inconsistent with the hypothesis which has been proposed. Data points should be included totally without any missing, whether they support or not. The experiment trails are repeated several times for avoiding the occurrence of errors that may come from small modifications in test subjects. Double-blind studies are implemented to prevent scientific researchers from knowing the exact status of a specific participant. This is used to remove the observer bias.
Integration of data:
The management of data, storage, along with the production of data and retrieval of data is important for all the projects of biological research. The capability to possess the entry to the sets of original data utilized in a specific study is very important for recreation and increasing the boundary of those studies, therefore, different beginnings connected with the integration of data have possessed the advent of increased throughput technologies. The integration of the experimental data should not fully depend on the software engineers but required to be done by the general individuals who utilize and their communities required to be defined. Thus, it is specifically necessary for a biological research group to acquire acquainted with the challenges, and their limitations. The data integration is divided into two groups in the computation framework of data integration, namely lazy and eager. These two groups differ in the way data get integrated.
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