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Is Data And Metadata Sharing?

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Data and metadata sharing is are crucial for both research and educational data. Educational data, in particular student-success initiatives, both funded and unfunded, often operate in isolation with little interaction outside of the department or college, and they are rarely connected to broader institutional efforts. Lack of knowledge sharing concerning initiative effectiveness and lessons learned makes it difficult to learn about promising and best practices and institutionalize them. This paper presents a framework for sharing metadata, enumerates various considerations of technologies and infrastructure that needs to be accounted for while building such a framework along with a thorough review of the related technologies and …show more content…

The reuse promptsof resources for requires sharing of data that is trustworthy. Some of Tthe advantages of data sharing include: a) reanalysis of data helps verify results data; b) different interpretations or approaches to existing data contribute to scientific progress, especially in an interdisciplinary setting; c) well-managed, long term, preservation helps retain data integrity; d) when data is available, (re-)collection of data is minimized. Thus optimizing use of resources; e) data availability provides safeguards against misconduct related to data fabrication and falsification; and f) replication studies serve as training tools for new generation of researchers (Tenopir et al., 2011) are well documented [1]. There are several inherent problems to reap the benefits of data sharing. One of these problems is Identifying identifying and integrating related data from disparate sources is one of the major associated problems with data sharing as data is usually stored on disparate sources. This is compounded by failure to develop and maintain clear, well-annotated research datasets (metadata), which in turn results in loss of access and understanding of the original dataset overtime. Metadata helps users decide on the credibility and trustworthiness of data it is associated with. According to data sharing practices and perceptions survey of 1329 scientists, only a quarter (26%) of them were satisfied with tools for preparing metadata

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