Data Archiving overview

 Data Archiving overview

Archive of research data is the long-term storage of scientific research data such as natural sciences, social sciences, and life sciences. Different journals have different policies regarding the amount of data and methods that researchers need to store in public archives, and what is actually archived varies greatly from discipline to discipline. Similarly, major grant providers have different attitudes towards public archiving of data. In general, the tradition of science is that publications contain enough information to allow other researchers to duplicate and test their work. In recent years, this approach has become increasingly tense, as research in some areas has relied on large datasets that cannot be easily replicated independently. Archiving data is more important in some areas than in others. In some areas, all the data needed to reproduce a work is already available in journal articles. Drug development needs to generate and archive a lot of data. This allows researchers to ensure that reports published by pharmaceutical companies accurately reflect the data.

Data archiving need for data archiving is a recent development in the history of science. This has been made possible by advances in information technology, where large amounts of data can be stored and accessed from a central location. For example, the American Geophysical Union (AGU) published its first data archiving policy in 1993, about three years after the start. This policy requires records cited in AGU papers to be archived by an accredited data centre. Allows you to create "data papers". It also defines the role of the AGU in maintaining the data archive. However, the paper author does not need to archive the data.

Prior to an organized data archive, researchers who want to evaluate or duplicate their work should request the author for data and method information. The academic community expects authors to share supplementary data. This process was perceived as a waste of time and energy, and the results were mixed. Information can be lost or corrupted over the years. In some cases, the author simply refuses to provide the information. If the research is related to health issues or public policy design, the need for data archiving and due diligence is greatly increased. Read more...


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