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2013-05-16 16:59:52 -0500 edited answer Can I store data with DataONE?

Data cannot be stored with DataONE in the way you would store data in a cloud data storage service. However you can deposit your data with a member node that participates in DataONE, thus making your data discoverable and retrievable via DataONE. A list of DataONE Member Nodes that might be able to store your data is available at DataONE Current Member Node page. Different Member Nodes are designed to store different types and amounts of data. Member Nodes also have different policies about what users are allowed to store data and the specific processes for doing quality assurance.

2013-05-16 16:58:28 -0500 edited answer What is the Investigator Toolkit?

The Investigator Toolkit (ITK) is the set of software tools that have been "DataONE enabled" so that users of the software are able to access, contribute, and work with data exposed through DataONE. Examples of ITK software include Morpho, DataUp, and an R-client. The ITK is a core part of the DataONE architecture, arising from the understanding that DataONE needs to work with the tools that people are already using, as well as those tools which the broader community will develop in the future. Different scientific domains and different types of users will need a wide variety of tools to create, manage, and analyze data.

Further information and a list of current tools within the ITK can be found at the DataONE Investigator Toolkit page.
For information on how to enable software to work with DataONE as part of the ITK, see the DataONE Architecture Documentation.

2013-04-05 17:48:08 -0500 edited answer Can you help us ensure our data management program (plan) meets federal requirements?

While there are common elements to data management plans, different agencies have varying requirements. The DMPTool is a good resource to begin with and contains a structured checklist for multiple Funding Agencies. You can learn about and access the DMPTool here

2013-04-05 17:47:21 -0500 edited answer Does DataONE have training/teaching materials for instructors?

Yes. DataONE provides 10 data management training modules that can be easily integrated into a lecture, seminar, or workshop. They are available here If you use any of the modules, the DataONE team would appreciate knowing how they were used and your feedback on them. The DataONE Education section also provides additional resources that may be of interest.

2013-04-05 17:45:43 -0500 edited answer How do I prepare my data for addition to a DataONE repository?

A: To prepare data for addition to a DataONE repositotry, first consult one of the many quality data preparation guides and resources available. Examples include:

• Best Practices for Preparing Environmental Data Sets to Share and Archive (2010) by Les A. Hook, Suresh K. Santhana Vannan, Tammy W. Beaty, Robert B. Cook, and Bruce E. Wilson. Available online at ( from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. doi:10.3334/ORNLDAAC/BestPractices-2010. • Manage Your Data: Data Planning Checklist. UC3: University of California Curation Center. California Digial Library. Last updated December 14, 2012. Available from • Create & Manage Data. 2012-2013. UK Data Archive, University of Essex. Available from

Specific, preparation for submitting data to a DataONE repository depends upon the software that a particular member node (repository) is running. For specifics of further preparation refer to the documentation of the Member Node you wish to work with. A list of DataONE Member Nodess and their descriptions can be found here For member nodes running Metacat, the submission process can be as easy as using Morpho to save the data to your repository's Metacat instance. Other repositories, such as ORNL DAAC, have much more involved data review and curation practices.

2013-04-05 17:45:43 -0500 received badge  Editor (source)
2013-03-20 15:59:56 -0500 commented answer How can we download a specific set of metadata fields for a large number of metadata records?

This answer is great. I would just add that by adding "&wt=csv" or "&wt=json" to the example queries above, you can have your response in comma separated value format or javascript object notation respectively.

2013-03-20 15:51:29 -0500 received badge  Supporter (source)