The emergence of Big Data has amounted to the complexity of the discussion on data reuse. The benefits of Big Data lie in the possibilities to discover novel trends, patterns and relationships by combining very large amounts of data from different sources. Current personal data protection requirements like data minimization and purpose specification are potentially inimical to Big Data as they limit the size and use of Big Data. Substantial loss of economic and social benefits of Big Data may be the result. In order to avoid this, the reuse of data could be encouraged. Data reuse, when done properly, may be both privacy preserving and economically and socially beneficial. In this paper, we provide a taxonomy of data reuse from both the data controller’s and the data subject’s perspective that may be useful to determine the extent to which data reuse should be allowed and under which conditions. From the data controller’s perspective we distinguish data recycling, data repurposing and data recontextualisation. From the data subject’s perspective, we distinguish data sharing and data portability. It is argued that forms of data reuse that stay close to the awareness and intentions of data subjects should be approached less tight (for instance, by assuming informed consent), whereas forms of data reuse that are ‘at a distance’, i.e., in which awareness and transparency may be lacking and data subject’s rights may prove more difficult to exercise, more restrictions and additional protection should be considered (for instance, by requiring explicit consent).

中文翻译：

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大数据和数据重用：平衡大数据利益和个人数据保护的数据重用分类法

大数据的出现，让数据重用的讨论变得复杂起来。大数据的好处在于可以通过组合来自不同来源的大量数据来发现新的趋势、模式和关系。当前的个人数据保护要求（如数据最小化和目的规范）可能不利于大数据，因为它们限制了大数据的大小和使用。结果可能是大数据的经济和社会效益的大量损失。为了避免这种情况，可以鼓励数据的重用。数据重用如果做得好，既可以保护隐私，又可以带来经济和社会效益。在本文中，我们从数据控制者和数据主体的角度提供了数据重用分类法，这可能有助于确定允许数据重用的程度和条件。从数据控制者的角度来看，我们区分了数据回收、数据再利用和数据重新上下文化。从数据主体的角度，我们区分了数据共享和数据可移植性。有人认为，与数据主体的意识和意图保持密切联系的数据重用形式应该不那么严格（例如，通过假设知情同意），而“相距遥远”的数据重用形式，即在可能缺乏意识和透明度以及数据主体的权利可能更难以行使，则应考虑更多限制和额外保护（例如，