Ackels lab handbook
  • Ackels lab handbook
  • 1. Introduction
  • 2. Lab member expectations & responsibilities
    • 2.1 Everyone
    • 2.2 PI
    • 2.3 Postdocs
    • 2.4 Graduate students
    • 2.5 Lab managers
    • 2.7 Undergraduate students
  • 3. Code of conduct
    • 3.1 General
    • 3.2 Scientific integrity
  • 4. Lab resources
  • 5. General policies
    • 5.1 Hours
    • 5.2 Meetings
    • 5.3 Deadlines
    • 5.4 Presentations
    • 5.5 Lab travel
    • 5.6 Recommendation letters
    • 5.7 Data management
  • 6. Funding
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  1. 5. General policies

5.7 Data management

Storing active datasets

  • work in progress

  • In general, you should not store data locally on your computer

Data organization

  • work in progress

Archiving inactive datasets

Before you leave the lab, you will be required to document and archive any dataset that you have collected. I will review the dataset with you before you leave.

Data sharing

Not only is data-sharing the right thing to do, we are actually required to do so by funding agencies and by many journals on publication. The best places are tbd.

You should also be prepared to share any scripts that you used in your published processing & analysis pipeline. We release this either at the same time that we submit the paper for publication or on date of publication.

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Last updated 1 year ago