Data Management: Acquisition, Sharing, and Ownership
Poor data management puts the researcher at risk for questions about the veracity of his/her findings, undermines any benefit that might be derived from the study, and potentially puts human subject privacy at risk. Data management in a research project includes how one collects, stores, protects and shares data. It requires advance planning, attention to detail and an understanding of regulations and policies related to research data. This chapter discusses issues of data collection, protection, retention and sharing within the context of social science research. It includes such topics as protecting the confidentiality and privacy of the subjects of research, assuring the integrity of the data collected, documentation of data collection and management procedures, and data ownership, and intellectual property rights. It addresses issues related to both qualitative and quantitative data.
Keywords: Data management, data sharing, data storage, data ownership, intellectual property rights
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