第一次看DMP主題的文章，簡直受到研究者的研究熱情感召。居然連這麼細緻的資料說明都寫的清清楚楚，真可謂做學問之嚴謹。 在DMPonline的資料管理，普遍的格式如下： ::: spoiler 1. Defining your data * Describe your data and how you will be working with it * What formats and software will you use? * How much data do you expect to generate? ::: ::: spoiler 2. Compliance & data ownership * Is some/all data subject to any institutional, legal, ethical, or commercial conditions? * What do you need to do to comply with these obligations? * Who owns the data? ::: ::: spoiler 3. Working with your data * Where will you store your data? * How will you back-up your data? * Who else is allowed to access this data during the project? * How will you organise your data folders? * How will you name your files? * How will you manage different versions of your files? * How will you ensure your data is understandable to others? ::: ::: spoiler 4. Archiving your data * What data should be kept, or destroyed, after the end of your project? * Where will you archive your data? * How long will the data be archived for? ::: ::: spoiler 5. Sharing your data * How will others learn that your data exists? * Which data will be accessible to others? * Who will you share your data with and under what conditions? * How will you share your data? ::: ::: spoiler 6. Implementing your DMP * How often will this plan be reviewed and updated? * What actions have you identified from the rest of this plan? * What support/ information do you need to complete these actions? ::: 就此看來，DMP的設計方式採取「以終為始」的視角出發，也就是如何讓未來研究者更容易上手這份研究，進行重製，甚至是站在巨人的肩膀前進。便訂立這些規範在研究之初著手進行有系統的資料管理。 [資料來源：NTU Psychology - Culture Survey Service Evaluation](https://dmponline.dcc.ac.uk/plans/125027/export.pdf?export%5Bquestion_headings%5D=true)