Open data ownership and sharing: Challenges and opportunities for application of FAIR principles and a checklist for data managers

The amount of data generated across various disciplines has been steadily increasing and is projected to experience exponential growth in the foreseeable future. This underscores the pressing need for proficient and streamlined data management. Data has proven to be a crucial tool in addressing complex societal challenges on a global scale. However, the challenge of producing and openly disseminating data that are easily discoverable, accessible, interoperable, and reusable (FAIR) has emerged as a significant concern for policymakers. The potential for data to be repurposed for advancing scientific research and innovation across different disciplines is contingent on its willingness to be shared. This paper employs a systematic literature review to investigate the motivating factors, advantages, and obstacles associated with open data sharing. Additionally, it explores governance frameworks that can create unique opportunities for implementing FAIR principles in real-time scientific research.