Organizations across all sectors are increasingly undergoing deep transformation and restructuring towards data-driven operations. The central role of data highlights the need for reliable and clean data. Unreliable, erroneous, and incomplete data lead to critical bottlenecks in processing pipelines and, ultimately, service failures, which are disastrous for the competitive performance of the organization. Given its central importance, those organizations which recognize and react to the need for reliable data will have the advantage in the coming decade. We argue that the technologies for reliable data are driven by distinct concerns and expertise which complement those of the data scientist and the data engineer. Those organizations which identify the central importance of meaningful, explainable, reproducible, and maintainable data will be at the forefront of the democratization of reliable data. We call the new role which must be developed to fill this critical need the Knowledge Scientist. The organizational structures, tools, methodologies and techniques to support and make possible the work of knowledge scientists are still in their infancy. As organizations not only use data but increasingly rely on data, it is time to empower the people who are central to this transformation.

中文翻译：

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知识科学家：解锁数据驱动型组织

各行各业的组织越来越多地向数据驱动的运营方向进行深度转型和重组。数据的核心作用凸显了对可靠和干净数据的需求。不可靠、错误和不完整的数据会导致处理管道中的关键瓶颈，并最终导致服务失败，这对组织的竞争绩效是灾难性的。鉴于其核心重要性，那些认识到可靠数据需求并对其做出反应的组织将在未来十年占据优势。我们认为可靠数据的技术是由不同的关注点和专业知识驱动的，这些关注点和专业知识补充了数据科学家和数据工程师的关注点和专业知识。那些确定有意义的、可解释的、可复制的、可维护的数据将处于可靠数据民主化的前沿。我们将必须发展以满足这一关键需求的新角色称为知识科学家。支持知识科学家工作并使之成为可能的组织结构、工具、方法和技术仍处于起步阶段。随着组织不仅使用数据，而且越来越依赖数据，现在是时候赋予对这种转型至关重要的人了。