In this module we will discuss data management for research workflows, why it’s important, and introduce how you can use ARCC resources to manage your data. This page give background information for future topics, if you are looking for specific examples, please head back to the main Data Management page to navigate to other pages.
Research Data Life-cycle
Two Column Tables are nice ways to separate content/ Background info along with an image example on the same “Slide”. Please notice the table width. This should stop scroll bars from appearing
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The Planning Phase
Data Management Planning is an often overlooked, but critical phase of the Research Data Management Life-cycle. Not only will it be useful for the execution of your research project, a formalized plan is often required by funding agencies such as the National Science Foundation (NSF) and National Institutes of Health (NIH) among many others. The planning phase of the research data life-cycle usually comes after a research project has been conceptualized but before a the project is underway (or even funded), but can always be re-visited in an informal manner. It is important to consider a variety of things during this phase as well as establish goals for your data:
What kind of data is required to answer our research question?
What file formats will be collected?
Is there a particular software needed in the other phases that requires the data to be formatted in a particular way?
Are there any federal compliance requirements?
How will the data be stored and protected prior to analysis?
Will the data be preserved or discarded after the project is complete?
Same Thing With Images
Two Column Tables are nice ways to separate content/ Background info along with an image example on the same “Slide”. Please notice the table width. This should stop scroll bars from appearing
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Alternatively No Table
Finally The End
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