• Online Learning Materials

• REU Program (undergrad

research program)

• Internship Program

• Graduate course

• Postdoctoral Program

• Workshops, seminars and

courses

Hampton et al, 2013

Frontiers in Ecology

Big data generally refer to massive volumes of

data not readily handled by the usual data tools

and practices and present unprecedented

opportunities for advancing science and informing

resource management through data-intensive

approaches.

Quantum GISGRASS GIS

GNU Octave

Programming

Spatial Analysis (GIS) Remote Sensing

Opticks

Data Management

Resources & Tools for Data Literacy / Analysis

Skills

• Develop: Understanding / Awareness of Key Tools /

Practices

• Facilitate: Use of “Big” Data in Research & Classroom

• Engage: working with NEON data

Graphics / Presentation Materials

VideosData

Analysis Demos

Prepackaged, data

Free & Open

Data Analysis

Tools

Community

Reviewed /

Tested

Free to Use /

Modify

LiDAR - Introduction to Light Detection and Ranging

Search: NEON Lidar

TREE

HEI

GH

T

Tim

e (E

leva

tio

n)

Returned Energy

Single Return

v

Tim

e (E

leva

tio

n)

Returned Energy

Two Returns

Vegetation Change

MetaData

Disturbance

Remote Sensing

LiDARdata

Imagery

Uncertainty

Data Specific Topics

Eco-Hydrology

Processing Methods

Science Topics

Data Collection Method Specific Topics

Sub-Theme: Riparian Vegetation

Topic / Question: Structural Attributes of

Riparian Forest Trees & Understory

Data Methods: Remote Sensing

Specific Method: LiDAR Data

© 2013 National Ecological Observatory Network, Inc. ALL RIGHTS RESERVED.

Community Driven Portal?

Vegetation Change

Disturbance

Remote Sensing

LiDARdata

Imagery

• Can we build a space

where all of us working in

these areas can contribute?

• Review existing materials

• Share topic ideas

• Contribute graphics, videos

Topics Underway

– LiDAR data products (under development)

• Collaborating with Jan van Aardt (RIT), Laura

Chasmer & Chris Hopkinson (University of

Lethbridge) , Crystal Schaaf (Boston University)

– Measuring Photosynthesis

• Collaborating with David Moore (U of Arizona), Pat

Morgan (LiCOR), Ankur Desai (Wisconsin)

USABILITY TESTING

External Expert Usability Firm

An effective way to understand our user’s needs

Inform UI/UX Design Informed Requirements

• User Survey: n=307

– December 2013, AGU

– Document: AGU 2013 Survey Results

• How do users find data?

• What terminology is familiar?

• What features do users need?

• What formats / packaging do they prefer?

• Informed Workflow: Users asked to perform tasks using prototypes

• Location

– Users wanted to identify location, using a map– Users were most often interested in data for a region or near a

point on a map

• Finding Data

– Search by: What the data measure– Users Wanted: Clear documentation to assess quality

• Users come to a portal with what they want in mind

Design Wireframes

• Landing Page

Design Wireframes

• Browse Data

Design Wireframes

• Data downloading

• (see top of image)

Account page – My Datasets

Leah A. Wasser, Ph.D.

lwasser@neoninc.org

LeahAWasser