REMINDER: DESIGNSAFE RESEARCH WEBINAR | Best Practices to Enhance the Quality, Discoverability and Reuse Potential for Post-Event Reconnaissance Data - November 11, 2020

[tutorials at designsafe-ci.org]

Registration required to receive connection information for the webinar.
https://www.designsafe-ci.org/learning-center/training/webinars/2020-tutorials/best-practices-reconnaissance-data/

Best Practices to Enhance the Quality, Discoverability and Reuse Potential for Post-Event Reconnaissance Data
November 11, 2020
1PM TO 2PM Eastern Time
Tracy Kijewski-Correa, PhD

The Structural Engineering Extreme Events Reconnaissance (StEER) network was founded with the mission to build societal resilience by generating new knowledge on the performance of the built environment through impactful post-event reconnaissance disseminated to affected communities. In the past two years, StEER has focused on shifting the Natural Hazard Engineering (NHE) community’s paradigm from isolated researchers using paper forms to explore specific hypotheses by generating proprietary data toward community collaboratives using digital platforms to acquire openly curated data. As part of this shift, StEER has focused not only on efficiently collecting perishable data, but also on ensuring that data is suitable for reuse.

This required firstly assuring the quality and reliability of the data, addressed through the creation of objective and consistent approaches to structural assessment with dedicated Data Librarians enacting a rigorous Data Enrichment and Quality Control (DEQC) process. The reuse potential of the data, which emphasizes both reusability and discoverability, was then enhanced through the creation of policies and protocols for curation/publication within DesignSafe.

This webinar, contextualized within the response to Hurricane Michael, will overview StEER’s approach to generating high-quality, reusable reconnaissance data compatible with the DesignSafe Field Research Data Model. Specific topics include:


  1.  Best practices for ensuring high-quality and reliable reconnaissance data;
  2.  Guidance for documenting reconnaissance data, including structuring of the DesignSafe project and development of a comprehensive Data Report to ensure the data is discoverable and reusable;
  3.  Suggestions for defining project headings, missions, collections and tags used in the Field Research Data Model to enhance discoverability and consistency when describing and organizing multi-phase investigations with different instruments/teams;
  4.  Applications of Field Research Data Model to different products beyond the actual measurements/observations, such as reports and briefings.

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