The National Snow and Ice Data Center (NSIDC) provides data and information about snow and ice to researchers and the public. Originally focused on cryosphere scientists, NSIDC's audience grew when satellite data revealed declining Arctic sea ice trends starting in the 2000s. To meet the needs of different user groups, NSIDC developed multiple data products around sea ice data, including the Sea Ice Index for climate researchers and the Arctic Sea Ice News & Analysis site for general audiences. NSIDC continues refining its data products and education efforts to make big cryosphere data useful and accessible to an expanding designated community with diverse needs.
Influencing policy (training slides from Fast Track Impact)
Making Big Data Useful: How NSIDC evolved data products for sea ice
1. Ronin Institute
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Making Big Data Useful:
The NSIDC Experience
Ruth Duerr
This work is licensed under a Creative
Commons Attribution v4.0 License.
4. NSIDC: An overview4
Cooperative Institute
for Research in
Environmental
Sciences
Main sponsors:
NSIDC affiliations and sponsorship
National
Science
Foundation
NASA
National Oceanographic
and Atmospheric
Administration
World Data
System
5. The National Snow and Ice Data Center…
Provides
tools for
data access
Researches
the cryosphere
and data
science
Educates
the public
about the
cryosphere
Supports data
users
Manages and
distributes
scientific data
Supports local
and traditional
knowledge
6. NSIDC: An overview6
▪ Satellite
▪ In situ (station data
and the like)
▪ Model output
▪ Most digital, some analog
Products
Users
More than 600 data and
information products,
most freely available
online
7. NSIDC: An overview7
NSIDC 2011 Metrics
2011 Ingest
13 TB
3 million files
2011 Distribution
183 TB
23 million files
Total
Archive
102 TB
20 million files
Metrics are for calendar years.
8. ELOKA
NSIDC: An overview8
Why
• Community-based knowledge of the Arctic informs science,
policy, and development.
• Arctic communities want their knowledge shared broadly and
ethically, and passed on to generations.
• There is a need for local knowledge holders to decide how to
manage their “data” and how to effectively share it.
What
• ELOKA provides data management services and user support
to facilitate the collection, use, exchange, and preservation, of
local observations and knowledge of the Arctic.
• ELOKA is mostly funded by NSF.
• Data includes interviews, maps, and community
measurements of sea ice, observations of narwhal behavior,
environmental change, and ecology.
• See eloka-arctic.org
Exchange for Local Observations and Knowledge
in the Arctic (ELOKA)
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The Remote Sensing Record
• Satellite-based Passive
Microwave sensors have been
measuring sea ice since 1972
• Consistent collection of data
started in 1978 with the SMMR
series of instruments
• Why passive microwave?
○ Distinguishing sea ice from
ocean is straightforward
○ Passive microwave works
through clouds and in the
dark
• Initial user base was
cryospheric scientists
Arctic sea ice concentration in April 2004, calculated from data
measured by the Special Sensor Microwave/Imager (SSM/I) on the
Defense Meteorological Satellite Program (DMSP) satellite. The image
is centered over the North Pole, with continents shown in green. -
Image courtesy of Florence Fetterer and Ken Knowles, National Snow
and Ice Data Center, University of Colorado, Boulder, CO.
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Trending and audience – Audience confusion
• A search of the NSIDC catalog for “sea ice” data sets returns 132
products!
• The need to support these users led to the development of NSIDC’s Sea
Ice FAQs which attempts to discuss the pros and cons of each data set,
see for example:
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Trending and audience
• Audience stayed pretty stable for roughly 20 years
• That changed once the science community started reporting
statistically significant trends in sea ice extent (in the early
2000’s)
• At that point climatologists became interested in the data
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Development of the Sea Ice Index
• But did NSIDC really have the data the climatologists
needed?
• Not really as they need:
○ Monthly averages
○ Climatologies
○ Anomaly maps and trends
• Thus the Sea Ice Index (2002) data set was born with
support from NOAA NESDIS
14. Development of the Sea Ice Index
14
Evolution of the sea ice “designated community”, presented by Ruth Duerr
March 15, 2012, Foundations of Data Curation, GSLIS/UIUC7
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• Also starting in 2002 NSIDC started crafting periodic press
releases concerning Arctic sea ice conditions at the end of the
summer melt season
• Media attention rose over the years, initially only from science
reporters; eventually the sea ice minimum press release
resulted in a barrage of queries from uninformed news
reporters
• It became painfully obvious that NSIDC needed a site where
basic information would be available with answers to questions
like “where is the arctic”
• Thus was born the Arctic Sea Ice News & Analysis Site
(ASINA)
• Started as a “skunkworks” project with a bit of funding from a
NASA outreach addendum to an existing grant
Development of the Arctic Sea Ice News & Analysis Site
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ASINA – What is it?
• A news blog
• Currently updated monthly or more frequently if
conditions warrant
• Expert analysis and commentary about Arctic sea ice
conditions consistently presented and written at a
predictable level for returning visitors
• High-resolution satellite imagery of current conditions
• Additional high-resolution graphics and content as
conditions warrant
• References and links to scientific work outside
NSIDC as appropriate
18. Ronin Institute
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ASINA – What is it?
• A news blog
• Currently updated monthly or more frequently if
conditions warrant
• Expert analysis and commentary about Arctic sea ice
conditions consistently presented and written at a
predictable level for returning visitors
• High-resolution satellite imagery of current conditions
• Additional high-resolution graphics and content as
conditions warrant
• References and links to scientific work outside
NSIDC as appropriate
19. Ronin Institute
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ASINA – What happened next?
• 2007 sea ice minimum was extreme
• Media attention was also extreme
• That led to the general public becoming one of NSIDC’s
most vocal and consistent audiences
• NSIDC’s most popular page
• This also led to a rise in requests by the science
community for access to NSIDC data
• Because of ASINA the audience for our data expanded
into a community without a lot of background science
knowledge but who are “loyal, tenacious, and perceptive”
• They ask a lot of questions and often many of them ask
the same or similar questions in a short period of time
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What is Icelights?
• A way to respond to user questions in a public forum
• Roughly monthly blog-like format with
○ The ability to “Ask Icelights” a question
○ Search for previous topics by tag, free text, etc.
○ Posts that have been reviewed by the science
community
• “Crash course” content to provide
○ Arctic sea ice 101
○ Data 101
○ Reading list
24. Data Curation: The Evolution of
Data Products for Value and Reach
AGU 2015
Karen S. Baker1, Ruth E. Duerr2,1, and Mark Parsons3
1Graduate School of Library and Information Science
University of Illinois Champaign-Urbana
2Ronin Institute for Independent Scholarship
http://ronin.org
3Research Data Alliance
Rensselaer Polytechnic Institute
25. Figure 2. A simplified view of the continuing development of scientific data products. Each
cycle is initiated by one or more events that create a new audience that leads to generation
of a new data product in response to the needs of a recently identified designated user
community.
Data Products: Multi-cycle Trajectory
26. Evolution of Sea Ice Data Products
Redrawn from original work by Donna Scott, 2010
who manages the NSIDC Passive Microwave Product Team.
27. Evolution of Sea Ice Data Products
Redrawn from original work by Donna Scott, 2010
who manages the NSIDC Passive Microwave Product Team.
28. Data Product Teams
Roles - Skill Sets
• Data Managers
• Programmers
• Technical Writers
• Scientists
• Science Communications
• Systems/Database Managers
• User Services Specialists
“This active human element of data management is not always
recognized by funding agencies, nor is it explicit in the OAIS
Reference Model …” - Parsons and Duerr, 2005
32. To the GIS community, the world is:
• A collection of features (e.g., roads, lakes, plots of land) with
geographic footprints on the Earth's surface
• The features are discrete objects described by a set of characteristics
such as a shape/geometry (often 2-D)
To fluid-earth scientists, the world is:
• A set of observations/measurements described by parameters
(e.g.,velocity, temperature) that vary as continuous functions in (4-D)
space-time
• Parameter behaviors are governed by a set of equations
To the public, the world is:
• The place within which their neighborhood is nested
• A place where decision-making is increasing in complexity due to the
interdependencies of natural systems, human systems, and human-
natural systems
* after Mark Parsons, Ben Domenico, and Stefano Nativi
Diverse Audiences -> Diverse worldviews