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ARS Home » Midwest Area » Ames, Iowa » Corn Insects and Crop Genetics Research » Research » Publications at this Location » Publication #327166

Research Project: MaizeGDB: Enabling Access to Basic, Translational, and Applied Research Information

Location: Corn Insects and Crop Genetics Research

Title: MaizeGDB video tutorials, feedback booth and introducing the agBioData working group

Author
item Harper, Elisabeth
item Enger, Ashley - Iowa State University
item Schaeffer, Mary
item Gardiner, Jack - Iowa State University
item Braun, Bremen - Oak Ridge Institute For Science And Education (ORISE)
item Cannon, Ethalinda - Iowa State University
item Portwood, John
item Sen, Taner
item Andorf, Carson

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 1/16/2016
Publication Date: 3/17/2016
Citation: Harper, E.C., Enger, A., Schaeffer, M.L., Gardiner, J.M., Braun, B., Cannon, E., Portwood II, J.L., Sen, T.Z., Andorf, C.M. 2016. MaizeGDB video tutorials, feedback booth and introducing the agBioData working group. In: 58th Annual Maize Genetics Conference, March 17-20, 2016, Jacksonville, Florida. p. 63.

Interpretive Summary:

Technical Abstract: As datasets get larger and more complex, it becomes more difficult for MaizeGDB users to be aware of all the tools and services MaizeGDB provides. In order to help our users, we have made a YouTube channel (https://www.youtube.com/channel/UClV7hOrmTtWjB6fgo_gT_dg) where we are loading all new, short, tutorial videos. We welcome suggestions for new videos! Another aspect of large and complex datasets, is that a degree of standardization between different databases would facilitate greater interoperability and ease of use for the users. Towards that end, MaizeGDB has spearheaded the formation of a Working Group comprised of >110 people who work at >30 agricultural-related database. This group has been meeting for a year, and has several specific objectives, all designed to ultimately make life easier for you, the database user. To help make science results more reproducible and accessible, many groups, including MaizeGDB, will soon require appropriate and standardized metadata (data about the data) for datasets taken in at MaizeGDB. Don’t be frightened! This will help YOU in the long run. Lastly, at this poster, there will be a place where you can provide feedback about MaizeGDB. We welcome your comments and suggestions!