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Introduction
The Internet of Food and Farm 2020 data management plan provides all the necessary details on how the information created and gathered throughout the project will be processed and stored. This paper will address the five essential questions proposed by Briney (2015) to evaluate the plan. The discussion will also consider whether the document conforms to the data management plan requirements.
Evaluation of the data management plan
The plan contains extensive information about the types of data that will be produced during the project. Wolfert (2017) provides a table detailing various kinds of data, including third-party information, press releases, publications, and analytical data. The table also explains how data will be documented and organized by explaining sources of origin and storage formats. Therefore, the plan includes the information required by Briney’s (2015) second question.
Wolfert (2017) also states that all data is to be stored in a central repository, but does not define security or encryption details. Additionally, the plan does not put forward data management procedures after the completion of the project, which is a significant drawback of the plan. To make data available for reuse, project leaders intend to disseminate information through research publications and press releases (Wolfert, 2017).
Conclusion
Based on the analysis above, the plan contains some elements of a comprehensive data management plan, but not all of them. It would be useful to outline how privacy and confidentiality concerns will be addressed and include a method for encryption and backup of data (“Data management general guidance,” 2019). This would help to ensure that project members can follow the plan correctly and have the knowledge necessary to prevent data abuse or leaks. Nevertheless, the document provides enough details on the types of data that will be produced, its origins, formats, and expected size which means that the plan fulfills most of the requirements.
References
Briney, K. (2015). Data management for researchers: Organize, maintain, and share your data for research success. Exeter, UK: Pelagic Publishing Ltd.
Data management general guidance. (2019). Web.
Wolfert, S. (2017). D1.4 data management plan. Web.
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