Purpose

This research investigates how the availabilities of both metadata standards and data repositories influence researchers' data reuse intentions either directly or indirectly as mediated by the norms of data reuse and their attitudes toward data reuse.

Design/methodology/approach

The theory of planned behavior (TPB) was employed to develop the research model of researchers' data reuse intentions, focusing on the roles of metadata standards, data repositories and norms of data reuse. The proposed research model was evaluated using the structural equation modeling (SEM) method based on the survey responses received from 811 STEM (science, technology, engineering and mathematics) researchers in the United States.

Findings

This research found that the availabilities of both metadata standards and data repositories significantly affect STEM researchers' norm of data reuse, which influences their data reuse intentions as mediated by their attitudes toward data reuse. This research also found that both the availability of data repositories and the norm of data reuse have a direct influence on data reuse intentions and that norm of data reuse significantly increases the effect of attitude toward data reuse on data reuse intention as a moderator.

Research limitations/implications

The modified model of TPB provides a new perspective in apprehending the roles of resource facilitating conditions such as the availabilities of metadata standards and data repositories in an individual's attitude, norm and their behavioral intention to conduct a certain behavior.

Practical implications

This study suggests that scientific communities need to develop more supportive metadata standards and data repositories by considering their roles in enhancing the community norm of data reuse, which eventually lead to data reuse behaviors.

Originality/value

This study sheds light on the mechanism of metadata standard and data repository in researchers' data reuse behaviors through their community norm of data reuse; this can help scientific communities and academic institutions to better support researchers in their data sharing and reuse behaviors.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2020-0431

中文翻译：

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元数据标准和数据存储库在科学、技术、工程和数学研究人员数据重用中的作用研究

目的

本研究调查了元数据标准和数据存储库的可用性如何直接或间接影响研究人员的数据重用意图，这是由数据重用规范及其对数据重用的态度所介导的。

设计/方法/方法

运用计划行为理论（TPB）建立了研究人员数据重用意图的研究模型，重点关注元数据标准、数据存储库和数据重用规范的作用。根据从美国 811 名 STEM（科学、技术、工程和数学）研究人员收到的调查答复，使用结构方程模型 (SEM) 方法对拟议的研究模型进行了评估。

发现

本研究发现，元数据标准和数据存储库的可用性显着影响 STEM 研究人员的数据重用规范，这影响了他们对数据重用的态度所介导的数据重用意图。本研究还发现，数据存储库的可用性和数据重用规范都对数据重用意图有直接影响，数据重用规范作为调节者显着增加了数据重用态度对数据重用意图的影响。

研究限制/影响

修改后的 TPB 模型提供了一个新的视角来理解资源促进条件的作用，例如元数据标准和数据存储库的可用性在个人态度、规范和他们进行某种行为的行为意图中的作用。

实际影响

这项研究表明，科学界需要通过考虑它们在增强数据重用社区规范中的作用来制定更具支持性的元数据标准和数据存储库，最终导致数据重用行为。

原创性/价值

本研究通过研究人员的数据重用社区规范，揭示了元数据标准和数据存储库在研究人员数据重用行为中的作用机制；这可以帮助科学界和学术机构更好地支持研究人员的数据共享和重用行为。

同行评审

本文的同行评审历史可从以下网址获得：https://publons.com/publon/10.1108/OIR-09-2020-0431