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DataUp Service Update — September & October 2012


Recent Enhancements, News, and Activities

  • We formally launched DataUp on 2 October. Most of September was devoted to preparing for this launch. This included close coordination among several groups, including CDL, Microsoft Research, OuterCurve Foundation, and DataONE.
  • We worked with the developers worked throughout October to correct bugs that were prohibiting the creation of valid metadata by DataUp. DataUp code was finalized by the developers contracted by Microsoft in November.
  • We completed the main DataUp website development in close collaboration with the User Experience Design Team at CDL.
  • We acquired the appropriate certificates for the DataUp web application and web service, both hosted on Microsoft® Azure.
  • We set up and populated the public DataUp BitBucket site, with code, documentation, links, and known issues with the software.
  • We worked closely with DataONE and the University of New Mexico Library to set up the ONEShare repository, created exclusively for DataUp data. We ensured that content was successfully entering ONEShare and the metadata generated was valid.
  • The DataUp blog was moved to the Data Pub blog site, and content was merged to create a single CDL data blog. The URL formerly used for the DataUp blog will now house the main DataUp website.
  • We hosted a DataUp webinar on 3 October, which was attended by at least 70 individuals. The slides ( are now available.
  • DataUp team members attended the 2012 Microsoft eScience Workshop (8-9 October in Chicago). DataUp was part of the workshop “DemoFest”, where workshop attendees could observe someone using the tool and ask questions.
  • On 24 October, DataUp was featured in the “Tools” section of a workshop for researchers at UC Davis. The Workshop was one of the Open Access Week activities.

DataUp Service Description

The DataUp add-in and web application help researchers organize, manage, archive, and share their tabular data. The major functionality of both tools is to guide researchers through the following:

  • Carry out a best practices check to determine if there are issues present that might make use or interpretation of the data difficult
  • Create metadata in standardized EML (Ecological Metadata Language) format
  • Describe the attributes (i.e. columns) of the dataset in standard EML format
  • Obtain a unique identifier for the dataset
  • Generate a data citation
  • Post the data and associated metadata to a data repository

DataUp Service Manager

Carly Strasser and Trisha Cruse or

DataUp Training Materials, Guides, FAQs and Webinars

The October 3rd DataUp slides ( ) are now available. The most current DataUp information is on the website ( This includes frequently asked questions and instructions on accessing and using DataUp.