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  1. Summary of Curation Requirements for Research Data

    29 Jan 2013 | Active Documents | Contributor(s): Stanislav Pejša, Jared Gray West

    The document contains several frequently asked questions regarding the Project Warehouse, data sharing policies, and curation. It also contains list of metadata and documentation required for...

  2. Data Curation and Quality Assurance in NEEShub

    07 Nov 2012 | Learning Objects | Contributor(s): Stanislav Pejša

    Earthquake engineering is a vibrant inter-disciplinary area that brings together researchers from seismology, structural, mechanical, and geotechnical engineering whose effort results in saving...

  3. NEEScomm Requirements for Curation and Archiving of Research Data

    27 Jul 2012 | Active Documents | Contributor(s): Stanislav Pejša

    This document contains descriptions of the metadata and documentation required for curation and archiving in the NEES Data Repository. It also deals with issues of format and significant...

  4. Information packages in the NEES Data Repository

    06 Apr 2012 | Active Documents | Contributor(s): Stanislav Pejša

    A document containing list of columns in the daatbase that make up a submission information package (SIP) and an archival information package.The spreadsheet also contains definitions of...

  5. Curation and metadata: Demystifying library standards

    09 Feb 2011 | Learning Objects | Contributor(s): Stanislav Pejša

    This is an introduction into library standards for the NEEScomm IT . It lists several matadata standards that are frequently used in digital preservation and curation at the research libraries. ...

  6. Data Management for NEES

    06 Feb 2011 | Learning Objects | Contributor(s): Stanislav Pejša

    The presentation provides several simple steps and quidelines that will result in easier and more efficient work with resaserch data and their eventual archiving in the NEES Data Repository.

  7. Metadata Structure for Geotechnical Physical Models

    23 Aug 2010 | Historical Documents | Contributor(s): Bruce Lloyd Kutter, Daniel Wilson, J. P. Bardet

    Advances in data volume associated with sensor and data acquisition technology and the increased complexity and value of model test data make it clear that there is a real need to implement...