The collection of data is the onset of data analysis projects. A data analysis project begins with a purpose, problem, and research questions. Find one scholarly research paper with an excellent example of: The example shall relate to a practical, real-world work environment in the information technology field. After finding the research, : Do not restate what the authors of the research have already stated. Your post shall be in your own words. Reference the research example using APA 7, as well as any other references used in your post. The hanging indent required in research papers is not appropriate on the discussion board. When replying to your peers, do you agree with their answers to the topics? The peer response posts should identify whether you agree and why or why not. Reference your peer’s research example in your peer response. Keep in mind, a citation be made for every reference. When citing, ensure that the statement requires a citation. Purchase the answer to view it

Data analysis projects in the field of information technology typically begin with the collection of data, which serves as the foundation for further analysis and insights. By gathering relevant data, researchers can identify patterns, trends, and relationships that may exist within the data, leading to a better understanding of the problem at hand and potential solutions.

One scholarly research paper that provides an excellent example of the collection of data in a real-world work environment in the information technology field is the study conducted by Liu, Jiang, and Zhang (2020) titled “Smart Contract-Based Digital Asset Management System in the Fourth Industrial Revolution.” In their research, Liu et al. focused on the development and implementation of a smart contract-based digital asset management system, which is a cutting-edge application in the field of information technology.

The authors aimed to address the challenges and issues related to managing digital assets in the context of the Fourth Industrial Revolution. To achieve this, they collected data from various sources, including existing digital asset management systems, industry reports, and user feedback. This comprehensive and diverse data collection approach allowed the researchers to gain a holistic understanding of the current practices, limitations, and potential improvements in digital asset management.

The study employed both quantitative and qualitative data collection methods to gather relevant information. Quantitative data were collected through surveys distributed among users of digital asset management systems to measure their satisfaction levels, identify pain points, and assess the effectiveness of the proposed system. Qualitative data, on the other hand, were collected through interviews with industry experts and professionals to gain more in-depth insights into the challenges and opportunities in the field.

The collected data were then analyzed using various data analysis techniques, including statistical analysis for quantitative data and thematic analysis for qualitative data. This allowed the researchers to identify common themes, patterns, and trends in the data, helping them to develop recommendations for the design and implementation of the smart contract-based digital asset management system.

In conclusion, the research conducted by Liu et al. (2020) provides an excellent example of data collection in a real-world work environment in the information technology field. The authors demonstrated the importance of collecting diverse and comprehensive data from various sources to gain a holistic understanding of the problem at hand. By employing both quantitative and qualitative data collection methods, they were able to analyze the data and derive valuable insights for the development and implementation of a smart contract-based digital asset management system. This research serves as a valuable reference for future data analysis projects in the information technology field.

Reference:

Liu, C., Jiang, R., & Zhang, J. (2020). Smart Contract-Based Digital Asset Management System in the Fourth Industrial Revolution. Future Internet, 12(9), 156. doi: 10.3390/fi12090156.

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