Background

The promise of Big Biomedical Data may be offset by the enormous challenges in handling, analyzing, and sharing it. In this paper, we provide a framework for developing practical and reasonable data sharing policies that incorporate the sociological, financial, technical and scientific requirements of a sustainable Big Data dependent scientific community.

Findings

Many biomedical and healthcare studies may be significantly impacted by using large, heterogeneous and incongruent datasets; however there are significant technical, social, regulatory, and institutional barriers that need to be overcome to ensure the power of Big Data overcomes these detrimental factors.

Conclusions

Pragmatic policies that demand extensive sharing of data, promotion of data fusion, provenance, interoperability and balance security and protection of personal information are critical for the long term impact of translational Big Data analytics.

中文翻译：

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共享生物医学大数据。

 背景

生物医学大数据的前景可能会被处理、分析和共享方面的巨大挑战所抵消。在本文中，我们提供了一个制定实用且合理的数据共享政策的框架，该政策结合了可持续的大数据依赖的科学界的社会学、金融、技术和科学要求。

 发现

许多生物医学和医疗保健研究可能会因使用大型、异构和不一致的数据集而受到重大影响；然而，需要克服重大的技术、社会、监管和体制障碍，以确保大数据的力量克服这些不利因素。

 结论

要求广泛共享数据、促进数据融合、来源​​、互操作性以及平衡安全性和个人信息保护的务实政策对于转化大数据分析的长期影响至关重要。