NEEShub Ellen M. Rathje University of Texas at Austin NEEScomm IT Development Team
Jan 21, 2016
NEEShub
Ellen M. RathjeUniversity of Texas at Austin
NEEScomm IT Development Team
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
Agenda
Post-webinar survey
Welcome to NEEShub!
We’ve got a HUB for that!
Your NEEShub Spaces
Personal Workspace(private)
NEEShub
Project Warehouse(private/ public)
Group Spaces
(restricted)
There are different levels of sharing and collaboration within NEEShub
The Project Warehouse
The Project WarehouseA centralized data repository for managing, sharing, storing, and publishing research data Search Search Results
Project DisplayinDEED Data Viewer
The Project WarehouseA centralized data repository for managing, sharing, storing, and publishing research data
DescriptionsDrawings
Mat’l Descriptions
Photos Publications
Data
Every project is created with the same structure
This provides consistency between projects and
aids in the navigation of project information
The Project Warehouse
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
The Data ModelThe model governing the organization of data within a project
Data OrganizationThe model governing the organization of data within a project
NEES-GC: Seismic Risk Mitigation for Port Systems
Centrifuge Test of PV Drains
Mar 2007
Crane Shake Table TestNov 2009
Pile-Wharf Connection Test
Sept 2007
Sine1
Cyclic Load Shake1 Shake2
Rep1
Rep1
Rep1
Rep1
Rep1
Project
ExperimentsSine
2Sine
3
Rep1Repetitions
Trials
Data OrganizationThe model governing the organization of data within a project
The Project WarehouseA centralized data repository for managing, sharing, storing, and publishing research data
For each repetition within a trial, there are four data folders that are automatically created1. Unprocessed data
Raw voltages, channel names, potentially non-standard formats (e.g., binary files)
2. Converted data Measurement units, instrument names
3. Corrected data Filtering, baseline corrections, removal of bad data
4. Derived data Corrected data plus values derived from measured
units (data not directly measured).
Types of Sensor DataRemember the data within the Project Warehouse is PUBLIC
ASCII tab delimited files recommended for all sensor
data
Experiment Documentation◦ Metadata fields within the Project Display◦ Experimental Setup Report placed in
Documentation folder Sensor Measurement Data
◦ Unprocessed◦ Converted◦ Corrected◦ Derived
Data RequirementsData cannot be shared without proper documentation
Uploaded by Researcher
within 6 months of
experiment
Uploaded by Researcher
within 6 months of
experiment
Uploaded by Site within 1-week of experiment
Requirements and definitions have the goal of making data EASILY re-useable
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
Project Warehouse ToolsThe nuts and bolts
Projects are created using the Project Editor
The Project Editor
Project Explorer for NEES (PEN)Enhancing bulk upload of files
inDEED Data ViewerFacilitating data queries
Enhanced ProjectsProjects 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
Enhanced ProjectsProjects with Data Visualization
Group Spaces
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
Group SpaceAn easy way to share content and conversation
Group SpaceAn easy way to share content and conversation
SynchroNEES◦ A graphical user interface
for transferring files
Local PC to NEES group workspace
NEES Personal workspace to NEES group workspace
Group Space ToolsThe nuts and bolts
Tools
Locating Tools and ResourcesThe first time you use them
Tools & Resources > Tools
My NEEShub pageTools that you use most often will appear on your “My NEEShub” page
My NEEShub
The tools you use
most often
Your current sessions
Data Documentation Wiki (under construction)nees.org/topics/DataDocumentation
◦ For documents describing recommended procedures for data sharing and archiving
NEEScomm IT Director Dawn Weisman ([email protected])
Data Curator Standa Pejsa ([email protected])◦ Standa is a resource for assisting in sharing and
archiving your data
Additional Information
Questions