 First, new concerns over data privacy and security emerge when research tasks are widely distributed across a global network of users. Researchers must take great care in ensuring research data containing personal or sensitive information isn’t accessible by outsourced labor, or that none of the users providing crowdsourced labor are able to aggregate and store their own copy of the research dataset. Second, crowdsourcing presents ethical concerns over trust and validity of the research process itself. Rather than a local team of research assistants usually under a principal investigator’s supervision and control, crowdsourcing tends to be distributed beyond the direct management or control of the researcher, providing less opportunity to ensure sufficient training for the required tasks. Thus, researchers will need to create additional means of verifying data results to confirm tasks are completed properly and correctly.