The latest decade-long analysis reveals that open data has transitioned from a niche aspiration to an embedded standard in global research practices. While awareness of FAIR principles has grown significantly, the primary challenge now lies in shifting from adoption to sustainability. Researchers largely support openness, yet they face a critical disconnect: despite widespread endorsement, the current academic reward systems fail to adequately recognize the effort required for data sharing, creating a bottleneck for long-term progress. To bridge this gap, the report emphasizes that technical proficiency alone is insufficient without structural incentives. Progress remains uneven across regions and disciplines, highlighting that mandates must be paired with practical, day-to-day support and infrastructure. The findings suggest that reforming research assessment to credit data sharing is essential. Without aligning professional incentives with open practices, the potential for open data to drive scientific discovery remains underutilized, as researchers lack the necessary recognition to justify the additional burden. Finally, the rise of artificial intelligence is reshaping how researchers handle data, offering tools to make openness more seamless and automated. This technological shift presents both an opportunity to reduce researcher burden and a responsibility to ensure ethical standards and data security. For the open_data community, this article underscores that the future of open science depends on integrating human-centric policy reforms with advanced technological solutions, ensuring that openness is not just possible, but rewarding and trustworthy.
Source: newswise.comPublished on 2026-01-26