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Data management plan : ウィキペディア英語版 | Data management plan A data management plan or DMP is a formal document that outlines how you will handle your data both during your research, and after the project is completed.〔http://www2.lib.virginia.edu/brown/data/plan.html〕 The goal of a data management plan is to consider the many aspects of data management, metadata generation, data preservation, and analysis before the project begins; this ensures that data are well-managed in the present, and prepared for preservation in the future. == Importance ==
Preparing a data management plan before data are collected ensures that data are in the correct format, organized well, and better annotated.〔http://libraries.mit.edu/data-management/plan/why/〕 This saves time in the long term because there is no need to re-organize, re-format, or try to remember details about data. It also increases research efficiency since both the data collector and other researchers will be able to understand and use well-annotated data in the future. One component of a good data management plan is data archiving and preservation. By deciding on an archive ahead of time, the data collector can format data during collection to make its future submission to a database easier. If data are preserved, they are more relevant since they can be re-used by other researchers. It also allows the data collector to direct requests for data to the database, rather than address requests individually. Data that are preserved have the potential to lead to new, unanticipated discoveries, and they prevent duplication of scientific studies that have already been conducted. Data archiving also provides insurance against loss by the data collector. Funding agencies are beginning to require data management plans as part of the proposal and evaluation process.〔http://www.nsf.gov/bfa/dias/policy/dmpfaqs.jsp〕
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Data management plan」の詳細全文を読む
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