Question: Which of the Following Most Accurately Describes the Research Data Lifecycle?
A. It refers to the obligation imposed by federal law to uphold data confidentiality.
B. It refers to a particular organization’s data collection requirements
C. It refers to how data are handled during and after a research study.
D. It refers to the obligation imposed by professional journals to share data.
Final Answer: C. It refers to how data are handled during and after a research study.
Brief Explanation:
The phases data goes through from its original creation to its ultimate disposal are called the research data lifecycle. The research data lifetime can be accurately and commonly described as follows:
Planning: the crucial first step, involves establishing a comprehensive plan for data management, defining research questions, and determining data requirements. This sets the stage for a well-organized and efficient research data lifecycle.
Collection: The process of obtaining or producing data by surveys, observations, experiments, and other techniques.
Processing: arranging, purifying, and formatting unprocessed data into a format that may be used.
Analysis: a key phase, is the process of examining facts to make inferences, test theories, and most importantly, generate new ideas. It’s a phase that can inspire creativity and innovation in your research.
Preservation: Safely keeping data for extended periods while guaranteeing its availability and integrity.
Sharing: Providing data to others to encourage repeatability and transparency through papers, repositories, and other channels.
Reuse: Using the data for fresh investigations, more analysis, or different applications.
Data preservation and disposal: preserving information for later use or safely getting rid of data that is no longer required while considering ethical and legal considerations.
This lifecycle guarantees effective data management, long-term accessibility and usability, and compliance with reproducibility and integrity standards for research.
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