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For me, if I am the person in charge of a dataset, whether to share data depends on the situation. I would definitely share the data if it provides benefits for the population’s well-being as the data can lead to new insights, discoveries, and innovations. For example, when data can help predict potential risks that induce diseases like cancer or improve treatment and care outcomes for patients. However, before sharing the data publicly, I would consider several points: I would ensure privacy and confidentiality before opening shared data, as mentioned in the session about de-identification of the participants, and keeping their confidentiality is the way to respect their rights and protect their privacy. Also, before sharing, I will ensure that the data that I will share has good enough quality since the data may be misinterpreted or used inappropriately if users are not sufficiently knowledgeable about its context, limitations, and potential biases.