Open Science Knowledge Production: Addressing Epistemological Challenges and Ethical Implications

Abstract

Open Science (OS) is envisioned to have a wide range of benefits including being more transparent, shared, accessible, and collaboratively developed than traditional science. Despite great enthusiasm, there are also several challenges with OS. In order to ensure that OS obtains its benefits, these challenges need to be addressed. Accordingly, the objective of this study is to provide an overview of one type of challenge, i.e., epistemological challenges with OS knowledge production, and their ethical implications. Based on a literature review, it (a) reveals factors undermining the envisioned benefits of OS, (b) identifies negative effects on knowledge production, and (c) exposes epistemological challenges with the various phases of the OS process. The main epistemic challenges are related to governance, framing, looping effects, proper data procurement, validation, replication, bias, and polarization. The ethical implications are injustice, reduced benefit (efficiency), increased harm (as a consequence of poor-quality science), deception and manipulation (reduced autonomy), and lack of trustworthiness. Accordingly, to obtain the envisioned benefits of OS, we need to address these epistemological challenges and their ethical implications.