Data Management

Data management is all about how you manage your research data before, during, and after your research project. It is important that you handle data responsibly both research, technical, legal, and ethical data. This means that you must:

• store and secure data so that it can be recovered and so that data loss is prevented
• have a practice for how data is organised, described, structured, and documented
• follow AU's current policy for how data is accessed and possibly shared
• make a Data Management Plan that i.a. contains a plan for how data is preserved or destroyed

Research data and metadata should be saved, preserved and managed in a clear and accurate form in line with FAIR principles and in accordance with the necessary restrictions regarding data access. This enables data to be reused, research results to be evaluated, procedures to be followed and, when relevant and possible, research to be reproduced. Read more 

Data Management is an essential part of good research practice, as it helps to ensure that data can be retrieved and reproduced, just as it helps to verify your research results.

Here you can read about Data Management in AGRO and at AU.