Reference no: EM133702800

Question: It an understandable tension that open science and data privacy have between their own goals. Sharing scientific data as we have read about can pose serious privacy risks to individuals and eventually organizations. Open science seeks making scientific knowledge freely accessible with the intention that others will not abuse this right, while data privacy has the primary goal of protecting sensitive and personal data from possibilities of abuse. I agree with the method of de-identifying and masking as both enable information in a dataset to be used for research with minimal possibility of individual privacy being compromised. Once data de-identification techniques are applied to their personal data masking tools, organizations can then safeguard privacy and build trust. I still have a hard time balancing transparency as it is limited, to protecting patient information when that is equally as important because of the type of personal information that may need to be used to correctly attain exact data from the datasets. I feel that as long as the requirements are definitively placed, both goals can cohabitate together with minimal risks.