NSF Funded DataNet Project #OCI0940824 

• SEAD goal is to contribute infrastructure to the NSF DataNet 

Vision that supports data 

• Access 

• Sharing 

• Reuse 

• Preservation 

• Direct work with data at the NSF STC NCED (National Center for Earth-Surface Dynamics

et al, et al

Hedstrom, Margaret

Kumar, Praveen

Myers, James

Plale, Beth

English

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 2. Data Challenges in Sustainability Science- Small and derived data sets- Heterogeneous data- Multiple sources of data- Short-lived data with long-term value- Value of data grows when combined & integrated+ 1. Problem/Domain- Sustainability science is a data-intensive area that focuses on  the complex interactions between nature and human activities.- Sustainability research requires access to data from the physical  and social sciences. 3. SEAD GoalsSEAD will address the needs of sustainability researchers to search for, aggregate, and maintain valuable data for the long term. To do this, the project seeks to build a prototype that: - Applies existing tools and services to sustainability research - Integrates these services into a generalizable “Active and Social  Curation” infrastructure - Enables researchers to collaborate and share data during active  projects - Packages and migrates data valued by the users to a  federated repository infrastructure for long-term preservation4. SEAD At a GlanceScience/Social NetworksSEAD Virtual ArchiveInstitutional Repository CyberinfrastructureSEAD Active Curation - Provide a Network of Science Interface- Leverage data use and reuse for data discoveryand expertise recommendations.- Take advantage of existing infrastructures (Institutional  Repositories, ICPSR) for long-term preservation tnemegagnE ecneicS ni amoDyrevocsiD dna esueR liaT-gnoL- Tag and annotate data- Overlay it with reference data- Organize it in domain terminology- Link it to people, papers, projects, conversations- SEAD utilizes the following open source software: - Medici/Tupelo - opensource.ncsa.illinois.edu - Data Conservancy - dataconservancy.org - VIVO - vivoweb.orgSEAD: Preserving Data for Environmental Sciences in Areas of Climate, Land-Use, and Environmental ManagementSustaina ble Environment — Actiona ble DataSEAD 5. SEAD Use Casesi) Able to ingest a variety of data types  ii) Support data discoveryiv) Create new data- Users can store, manage, and share  heterogeneous data types (e.g. images,  geo-spatial images, sensor data etc.)-  These valued data will be moved to existing institutional repositories  for long-term storage + =- Combine data from multiple sources and contribute derived  data back to SEAD- Provide links between data, people and publications- SEAD will collaborate with scientists studying the Upper Great Lakes and Upper Mississippi River Basin and is a developing a test-bed partnership withthe National Center for Earth-Surface Dynamics (NCED) to test NCED data in our 18-month prototype.- Through this collaboration, SEAD will develop a prototype system using open-source software that engages sustainability researchers around data management, encourages sharing of data and metadata through new social and contextual interfaces, and leverages existing repository storage cyberinfrastructure. iii) Add value to existing data v) Community curation of data- Users of data can provide additional metadata and  annotationsMargaret Hedstrom (PI), Marietta Van Buhler (PM), George Alter (ICPSR), Bryan Beecher (ICPSR), Aditya Bhandari, Karen Woollams, Jude Yew - University of MichiganSEAD is funded by the National Science Foundation under cooperative agreement #OCI0940824Praveen Kumar (PI), Md (Zaman) Aktaruzzaman, Rob Kooper (NCSA), Luigi Marini (NCSA), Terry McLaren (NCSA) - University of Illinois-Champaign-UrbanaBeth Plale (PI), Katy Börner, Robert H. McDonald, Kavitha Chandrasekar, Inna Kouper, Stacy Konkiel, Robert Light, Robert Ping - Indiana UniversityJames Myers (PI), Ram Krishnan, R. Lindsay Todd - Rensselaer Polytechnic Institutehttp://sead-data.netFollow us on twitter @SEADdatanet or hashtag our poster #IDCC13 #SEADdatanet

SEAD: Preserving Data for Environmental Sciences in Areas of Climate, Land-Use, and Environmental Management

E-LIS repository

 2. Data Challenges in Sustainability Science
- Small and derived data sets
- Heterogeneous data
- Multiple sources of data
- Short-lived data with long-term value
- Value of data grows when combined & integrated
+
 
1. Problem/Domain
- Sustainability science is a data-intensive area that focuses on 
 the complex interactions between nature and human activities.
- Sustainability research requires access to data from the physical 
 and social sciences.
 3. SEAD Goals
SEAD will address the needs of sustainability researchers to search 
for, aggregate, and maintain valuable data for the long term. 
To do this, the project seeks to build a prototype that: 
- Applies existing tools and services to sustainability research 
- Integrates these services into a generalizable “Active and Social 
 Curation” infrastructure 
- Enables researchers to collaborate and share data during active 
 projects 
- Packages and migrates data valued by the users to a 
 federated repository infrastructure for long-term preservation
4. SEAD At a Glance
Science/Social NetworksSEAD Virtual Archive
Institutional Repository Cyberinfrastructure
SEAD Active Curation
 
- Provide a Network of Science Interface
- Leverage data use and reuse for data discovery
and expertise recommendations.
- Take advantage of existing infrastructures (Institutional 
 Repositories, ICPSR) for long-term preservation 
tn
em
eg
ag
nE 
ec
nei
cS 
ni a
mo
D
yre
vo
csi
D d
na 
es
ue
R li
aT-
gn
oL
- Tag and annotate data
- Overlay it with reference data
- Organize it in domain terminology
- Link it to people, papers, projects, conversations
- SEAD utilizes the following open source software:
 - Medici/Tupelo - opensource.ncsa.illinois.edu
 - Data Conservancy - dataconservancy.org
 - VIVO - vivoweb.org
SEAD: Preserving Data for Environmental Sciences in Areas 
of Climate, Land-Use, and Environmental ManagementSustaina ble Environment — Actiona ble Data
SEAD
 5. SEAD Use Cases
i) Able to ingest a variety of data types  ii) Support data discovery
iv) Create new data
- Users can store, manage, and share 
 heterogeneous data types (e.g. images, 
 geo-spatial images, sensor data etc.)
-  These valued data will be moved to existing institutional repositories 
 for long-term storage 
+ =
- Combine data from multiple sources and contribute derived
  data back to SEAD
- Provide links between data, people and publications
- SEAD will collaborate with scientists studying the Upper Great Lakes and Upper Mississippi River Basin and is a developing a test-bed partnership with
the National Center for Earth-Surface Dynamics (NCED) to test NCED data in our 18-month prototype.
- Through this collaboration, SEAD will develop a prototype system using open-source software that engages sustainability researchers around data management, encourages sharing of data 
and metadata through new social and contextual interfaces, and leverages existing repository storage cyberinfrastructure.
 iii) Add value to existing data
 v) Community curation of data
- Users of data can provide additional metadata and
  annotations
Margaret Hedstrom (PI), Marietta Van Buhler (PM), George Alter (ICPSR), Bryan Beecher (ICPSR), Aditya Bhandari, Karen Woollams, Jude Yew - University of Michigan
SEAD is funded by the National Science Foundation under cooperative agreement #OCI0940824
Praveen Kumar (PI), Md (Zaman) Aktaruzzaman, Rob Kooper (NCSA), Luigi Marini (NCSA), Terry McLaren (NCSA) - University of Illinois-Champaign-Urbana
Beth Plale (PI), Katy Börner, Robert H. McDonald, Kavitha Chandrasekar, Inna Kouper, Stacy Konkiel, Robert Light, Robert Ping - Indiana University
James Myers (PI), Ram Krishnan, R. Lindsay Todd - Rensselaer Polytechnic Institute
http://sead-data.net
Follow us on twitter @SEADdatanet or hashtag our poster #IDCC13 #SEADdatanet


http://eprints.rclis.org/20014/1/idcc13poster2.pdf

SEAD: Preserving Data for Environmental Sciences in Areas of Climate, Land-Use, and Environmental Management

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