Technology Management Research Group, Faculty of Business, Economics and Social Sciences, Kiel University, Kiel, SH, Germany.
PLoS One. 2022 Oct 25;17(10):e0276204. doi: 10.1371/journal.pone.0276204. eCollection 2022.
Open data platforms are interfaces between data demand of and supply from their users. Yet, data platform providers frequently struggle to aggregate data to suit their users' needs and to establish a high intensity of data exchange in a collaborative environment. Here, using open life science data platforms as an example for a diverse data structure, we systematically categorize these platforms based on their technology intermediation and the range of domains they cover to derive general and specific success factors for their management instruments. Our qualitative content analysis is based on 39 in-depth interviews with experts employed by data platforms and external stakeholders. We thus complement peer initiatives which focus solely on data quality, by additionally highlighting the data platforms' role to enable data utilization for innovative output. Based on our analysis, we propose a clearly structured and detailed guideline for seven management instruments. This guideline helps to establish and operationalize data platforms and to best exploit the data provided. Our findings support further exploitation of the open innovation potential in the life sciences and beyond.
开放数据平台是用户数据需求和供给之间的接口。然而，数据平台提供商经常难以聚合数据以满足用户的需求，并在协作环境中建立高强度的数据交换。在这里，我们以开放的生命科学数据平台为例，对其进行了系统的分类，这些平台基于其技术中介和涵盖的领域范围，得出了它们管理工具的一般和具体的成功因素。我们的定性内容分析基于对 39 名数据平台和外部利益相关者的专家进行的深入访谈。因此，我们通过补充仅关注数据质量的同行举措，进一步强调了数据平台在实现数据利用以产生创新成果方面的作用。基于我们的分析，我们为七个管理工具提出了一个清晰、结构化和详细的指南。该指南有助于建立和运营数据平台，并充分利用提供的数据。我们的研究结果支持进一步挖掘生命科学及其他领域的开放创新潜力。
