Re-analysis of data may reveal unrecognized errors or inconsistencies in the data, or detect new relationships in the data that were not previously explored. It is possible that several legitimate and supportable interpretations can be derived from the same data. Secondary analysis of data can result in new insights, and answers to questions not previously addressed. The interdisciplinary exchange of data also permits similar concepts to be examined from various disciplinary perspectives. Relying solely on primary data sources, increases the demand on research subjects.
Data sharing helps ensure that rare data sets are more completely utilized.
It can reduce data redundancy, and the needless duplication of efforts. Issues of Concern Several concerns have delayed the establishment of data sharing as a scientific norm. Although these concerns warrant consideration, they do not negate the advantages associated with data sharing. Ethics of Data Sharing Safeguarding respondents rights to privacy, confidentiality and informed consent are essential. It has been suggested that the potential for secondary data analysis may negatively affect the enrollment of subjects especially in studies dealing with sensitive topic areas.