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NEEShub

NEEShub. Ellen M. Rathje University of Texas at Austin NEEScomm IT Development Team. Agenda. Introduction (Ellen Rathje) Procedures for Data Archiving and Sharing Data Management and Curation Process Standa Pejsa ( NEEScomm Data Curator) Tools for Data Management

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NEEShub

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  1. NEEShub Ellen M. Rathje University of Texas at Austin NEEScomm IT Development Team

  2. Agenda • Introduction (Ellen Rathje) • Procedures for Data Archiving and Sharing • Data Management and Curation Process • Standa Pejsa (NEEScomm Data Curator) • Tools for Data Management • Project Warehouse/Project Editor (Gaby Ou) • Specimen Authoring Tool and inDEED (Kari Nasi) • Project Explorer for NEES (Rachelle Howell) • Tools for Collaboration (Santiago Pujol) • Group Space • SynchroNEES Post-webinar survey

  3. Welcome to NEEShub! We’ve got a HUB for that!

  4. Your NEEShub Spaces There are different levels of sharing and collaboration within NEEShub NEEShub Personal Workspace (private) Group Spaces (restricted) Project Warehouse (private/ public)

  5. The Project Warehouse

  6. The Project Warehouse A centralized data repository for managing, sharing, storing, and publishing research data

  7. The Project Warehouse A centralized data repository for managing, sharing, storing, and publishing research data Drawings Mat’l Descriptions Data Descriptions Photos Publications

  8. The Project Warehouse • Every project is created with the same structure • This provides consistency between projects and aids in the navigation of project information

  9. The Data Model The model governing the organization of data within a project • Project Experiment Trial Repetition • A project represents an entire research project, which consists of a suite of tests and associated simulations • Each test is set up as an individual experiment • Within each experiment there are several trials or separate events for which data is measured • If the same trial is performed more than once, it may have multiple repetitions

  10. Data Organization The model governing the organization of data within a project Project NEES-GC: Seismic Risk Mitigation for Port Systems Experiments Pile-Wharf Connection Test Sept 2007 Centrifuge Test of PV Drains Mar 2007 Crane Shake Table Test Nov 2009 Trials Sine1 Sine2 Sine3 Cyclic Load Shake1 Shake2 Repetitions Rep1 Rep1 Rep1 Rep1 Rep1 Rep1

  11. Data Organization The model governing the organization of data within a project

  12. The Project Warehouse A centralized data repository for managing, sharing, storing, and publishing research data

  13. Types of Sensor Data Remember the data within the Project Warehouse is PUBLIC • For each repetition within a trial, there are four data folders that are automatically created • Unprocessed data • Raw voltages, channel names, potentially non-standard formats (e.g., binary files) • Converted data • Measurement units, instrument names • Corrected data • Filtering, baseline corrections, removal of bad data • Derived data • Corrected data plus values derived from measured units (data not directly measured). ASCII tab delimited files recommended for all sensor data

  14. Data Requirements Data cannot be shared without proper documentation • Experiment Documentation • Metadata fields within the Project Display • Experimental Setup Report placed in Documentation folder • Sensor Measurement Data • Unprocessed • Converted • Corrected • Derived Uploaded by Researcher within 6 months of experiment Uploaded by Site within 1-week of experiment Uploaded by Researcher within 6 months of experiment Requirements and definitions have the goal of making data EASILY re-useable

  15. Project Warehouse Tools The nuts and bolts • The Project Editor • Create, edit, and update projects • File uploads through web interface • The Project Explorer for NEES (PEN) • Efficient upload/download for bulk file management • Direct file upload (not a web interface) • Files organized offline and then uploaded • inDEED Data Viewer • Facilitates browsing/viewing/investigating data within Warehouse without download

  16. The Project Editor Projects are created using the Project Editor

  17. Project Explorer for NEES (PEN) Enhancing bulk upload of files

  18. inDEED Data Viewer Facilitating data queries

  19. Enhanced Projects Projects with Data Visualization

  20. Enhanced Projects Projects with Data Visualization • Definition of Enhanced • Metadata fields in Project Display are complete (including drawings, material properties) • Project includes at least one visualization of data • inDEED is currently the only visualization tools that allows for viewing data within the NEEShub without download

  21. Group Spaces

  22. Group Space An easy way to share content and conversation • Groups can be: • Public, restricted, or private • Purpose • To facilitate conversation, collaboration, and data sharing between group members. Discussions, wiki posts, and files are in one central location available to all group members. • Features • Wiki, messaging, discussion boards, and file sharing via the dropbox

  23. Group Space An easy way to share content and conversation

  24. Group Space Tools The nuts and bolts • SynchroNEES • A graphical user interface for transferring files • Local PC to NEES group workspace • NEES Personal workspace to NEES group workspace

  25. Tools

  26. Locating Tools and Resources The first time you use them Tools & Resources > Tools

  27. My NEEShub page Tools that you use most often will appear on your “My NEEShub” page Your current sessions The tools you use most often My NEEShub

  28. Additional Information • Data Documentation Wiki (under construction) nees.org/topics/DataDocumentation • For documents describing recommended procedures for data sharing and archiving • NEEScomm IT Director Dawn Weisman (dweisman@purdue.edu) • Data Curator Standa Pejsa (spejsa@purdue.edu) • Standa is a resource for assisting in sharing and archiving your data

  29. Questions

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