The concept of openness and information sharing (linking) together with increasing amounts of data available significantly affect the current educational system. Institutions as well as other stakeholders are facing challenges how to successfully deal with them and potentially profit from them. In this regard, this paper explores opportunities of big and open linked data analytics in the educational process intended to develop the new set of skills. A comprehensive literature review resulted in a framework of relevant skills, namely soft, hard, and data analytics skills. Their importance was evaluated using a Delphi method. In order to determine the relationships between involved stakeholders, their roles and requirements, a stakeholder theory is utilized. It resulted in the identification of current and emerging roles of stakeholders in the data analytics ecosystem. A structural classification of stakeholders’ influences and impacts then represents a necessary background for establishing strategies for the development of the right skills needed to gain the value from these data. This paper provides a comprehensive view on big and open linked data analytics in the educational context, defines and interlinks data-related with current roles as well as the skills required to perform data analytics.

中文翻译：

---

大而开放的关联数据分析：关于高等教育过程中角色和技能变化的研究

开放性和信息共享（链接）的概念以及越来越多的可用数据显着影响了当前的教育系统。机构以及其他利益相关者正面临着如何成功应对它们并可能从中获利的挑战。在这方面，本文探讨了在旨在培养新技能的教育过程中大开放链接数据分析的机会。全面的文献综述产生了相关技能的框架，即软、硬和数据分析技能。使用 Delphi 方法评估它们的重要性。为了确定所涉及的利益相关者、他们的角色和要求之间的关系，使用了利益相关者理论。它导致了利益相关者在数据分析生态系统中当前和新兴角色的识别。然后，利益相关者的影响和影响的结构分类代表了制定战略以开发从这些数据中获得价值所需的正确技能的必要背景。本文提供了关于教育背景下的大开放链接数据分析的综合观点，定义和链接与当前角色相关的数据以及执行数据分析所需的技能。