Building Infrastructure for Preservation and Publication of Earthquake Engineering Research Data

The objective of this paper is to showcase the progress of the earthquake engineering community during a decade-long effort supported by the National Science Foundation in the George E. Brown Jr., Network for Earthquake Engineering Simulation (NEES). During the four years that NEES network operations have been headquartered at Purdue University, the NEEScomm management team has facilitated an unprecedented cultural change in the ways research is performed in earthquake engineering. NEES has not only played a major role in advancing the cyberinfrastructure required for transformative engineering research, but NEES research outcomes are making an impact by contributing to safer structures throughout the USA and abroad. This paper reflects on some of the developments and initiatives that helped instil change in the ways that the earthquake engineering and tsunami community share and reuse data and collaborate in general.

[1]  Michael McLennan,et al.  HUBzero: A Platform for Dissemination and Collaboration in Computational Science and Engineering , 2010, Computing in Science & Engineering.

[2]  Julio A. Ramirez The George E. Brown, Jr., Network for Earthquake Engineering Simulation (NEES): Reducing the Impact of EQs and Tsunamis , 2015 .

[3]  Kincho H. Law,et al.  Reference NEESgrid Data Model , 2004 .

[4]  Jake Carlson,et al.  Developing an Approach for Data Management Education: A Report from the Data Information Literacy Project , 2013, Int. J. Digit. Curation.

[5]  Rudolf Eigenmann,et al.  Advancing Earthquake Engineering Research through Cyberinfrastructure , 2013 .

[6]  Heather A. Piwowar,et al.  Data reuse and the open data citation advantage , 2013, PeerJ.

[7]  Rudolf Eigenmann,et al.  The NEEShub Cyberinfrastructure for Earthquake Engineering , 2011, Computing in Science & Engineering.

[8]  Anne S. Kiremidjian,et al.  Development of a Rotation Algorithm for Earthquake Damage Diagnosis , 2014 .

[9]  Ixchel M. Faniel,et al.  Reusing Scientific Data: How Earthquake Engineering Researchers Assess the Reusability of Colleagues’ Data , 2010, Computer Supported Cooperative Work (CSCW).

[10]  John Kunze,et al.  An Emergent Micro-Services Approach to Digital Curation Infrastructure , 2009, iPRES.

[11]  Gary Marchionini,et al.  Curating for Quality: Ensuring Data Quality to Enable New Science , 2012 .

[12]  Dionisio Bernal,et al.  Damping Estimation from Seismic Records , 2015 .

[13]  L. Van Den Einde,et al.  The NEES Data Model in Support of Earthquake Engineering Research , 2008 .

[14]  Brian Lavoie,et al.  Identifying Threats to Successful Digital Preservation: the SPOT Model for Risk Assessment , 2012, D Lib Mag..

[15]  Division on Earth Grand Challenges in Earthquake Engineering Research: A Community Workshop Report , 2011 .

[16]  Yvonne M. Socha,et al.  OUT OF CITE, OUT OF MIND: THE CURRENT STATE OF PRACTICE, POLICY, AND TECHNOLOGY FOR THE CITATION OF DATA CODATA-ICSTI Task Group on Data Citation Standards and Practices , 2013 .

[17]  Rob Procter,et al.  Virtual research environments in scholarly work and communications , 2009, Libr. Hi Tech.

[18]  Jane Greenberg,et al.  Functional and Architectural Requirements for Metadata: Supporting Discovery and Management of Scientific Data , 2012, Dublin Core Conference.

[19]  Anne S. Kiremidjian,et al.  Reliability assessment of the rotation algorithm for earthquake damage estimation , 2013 .