DMPTool and Data Management Basics. Hannah Norton July 29, 2014. Image modified from : http://www.flickr.com/photos/blprnt/3642742876/in/photostream /. Background: the Data Lifecycle. Data Archiving. Data Analysis. Data Collection. Data Distribution. Data Analysis. Study Concept.
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July 29, 2014
Image modified from : http://www.flickr.com/photos/blprnt/3642742876/in/photostream/
Data Management Planning
* Based on Data Documentation Initiative (DDI) version 3.0 Combined Life Cycle Model
A data management plan gives a concise description of the who, what, where, and when of your data throughout its life cycle.
For all the same reasons you should take care of your data…
To ensure that valuable data resources will be accessible in the future to members of the research team and the broader community.
To make life easier – by planning ahead and documenting data throughout its life cycle, researchers can save time and focus on research.
To increase the visibility of research.
To satisfy funders’ requirements.
Formats with the following characteristics are considered relatively stable and better for long-term preservation:
See the following for preferred and accepted file formats for the [email protected]: http://ufdc.ufl.edu/AA00017119/00011
Basic information to keep:
More specific information varies by discipline
See the following guide to find discipline-based repositories: http://guides.uflib.ufl.edu/datasets
Advantages of an institutional repository:
Advantages of a domain repository:
Adapted from: http://libraries.mit.edu/guides/subjects/data-management/Managing%20Research%20Data%20101.pdf
From NYU Health Science Center Libraries: http://youtu.be/N2zK3sAtr-4