This is the slidedeck for my SEAD presentation at the 3rd International VIVO Conference held on August 24, 2012 at Miami, FL.

1. Building a Data Discovery Network
for Sustainability Science
Robert H. McDonald
Deputy Director Data to Insight (D2I) Center
Associate Dean – IU Libraries
Indiana University
rhmcdona@indiana.edu | @mcdonald @SEADdatanet
Presented at the VIVO 2012 Conference
Miami, FL– August 24, 2012
http://slidesha.re/Q9q8VW Available from: http://slidesha.re/Q9q8VW
© Trustees of Indiana University
Released under Creative Commons 3.0
unported license; license terms on last slide.

2. NSF DataNet Program
Motivation:
“… one of the major challenges of this scientific
generation: how to develop the new methods,
management structures and technologies to
manage the diversity, size, and complexity of
current and future data sets and data streams.”
Response:
DataNet creates “a set of exemplar national
and global data research infrastructure
organizations” to address this challenge.

3. Current NSF DataNet Projects
• SEAD
– http://sead-data.net
• DataOne
– http://www.dataone.org
• DataNet Federation Consortium
– http://datafed.org
• Terra Populous
– https://www.pop.umn.edu/terra_pop

4. Sustainable Environment Actionable Data
(SEAD) - DataNet
• SEAD Strategy SEAD Partners - http://sead-data.net
― Serve scientists and
researchers in the “long
tail” of science
― Leverage social media for
discovery of
data, interest, and
expertise
― Move data curation
upstream in the data life
cycle of science
― Take advantage of
existing domain and
institutional infrastructures
(Institutional
Repositories, ICPSR) for
long-term preservation

5. SEAD TEAMS
Margaret Hedstrom-PI, Ann Zimmerman-Co-PI, Karen
Michigan Woollams, George Alter (ICPSR), Bryan Beecher (ICPSR), Jude Yew
Beth Plale-Co-PI, Katy Börner, Robert H. McDonald, Robert
Indiana Light, Kavitha Chandrasekar, Stacy Kowalczyk, Robert Ping
James Myers-Co-PI, Ram Prasanna Govind Krishnan, Lindsay Todd
Rensselaear
Praveen Kumar-Co-PI, Md Aktaruzzaman, Terry McLaren (NCSA), Rob
Illinois Kooper (NCSA), Luigi Marini (NCSA)

6. SEAD 18 month Pilot Phase
• Domain Engagement:
– National Center for Earth Systems Dynamics (NCESD), Illinois River
Basin Observatory
– Requirements, Use Cases, Prioritization of Data Types and Services
• Active and Social Curation
– Pilot Active Content Repository, VIVO deployments
– Exemplar services for Data Ingest, Discovery, Re-use, Curation
(Tupelo/Medici)
• CI for Long-term Access (Virtual Archive)
– Data model, protocol design/development
– Pilot Federated Repository infrastructure
• Education, Outreach, and Training
– Post-doc mentoring
– Web site, training materials, meetings, workshops, …
• Project Oversight
– Management, reporting, committees
– Business model development

7. Sustainability
Science
Science
Cooperation Technology
Policy Economics
Poverty &
Justice
7

8. Data challenges
• Heterogeneity of
all kinds
• Multiple scales
• Multidisciplinary
• Many small
datasets

9. The long tail of scientific research
• 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

11. SEAD notions of defined Data Phases
• Phases of data lifecycle acknowledge and accommodate
the difference between public data and data still in work by a
researcher.
• Research Data Phase: data set is research data
collection, owned by individual and under their control.
– Data need not be licensed at this time because it is not
ready for broader release
– Data need not have permanent IDs because still work in
progress
– Corresponds to first existence in Active Curation Repository
• Published Phase: Owner of research data collection
determines that dataset is ready for publication
– License terms set
– Persistent ID
– Made available as part of public profile in VIVO
– Activated by user-controlled publish event

12. SEAD CI Technical Approach
Active and Social Curation OAIS Repository Federation
Curation Boundary
Automated Curation
Data Metadata Workflow/Rule
Acquisition, A Engine
Management
nalysis and Operates on
Simulation DDI3.
Metadata, Content Objects Scholarly
METS, PREMIS, MODS, DC
, SensorML, OGC, … and Trigger Events Communication
Ingest scripts:
Ingest, AIPs
Appraisal fixity, integrity, Compound Objects - OAI-ORE
and CI Technical Approach
authentication,
VIVO/
Linked Data Active Selection transformation Digital Repository Federation
Content (OAIS compliant)
Preservation
Repository Actions
Dissemination Packages
Wide-Area File System
Search, Browse Migration
, and Access Mechanisms and
Annotation, Vis Use, Reuse, Rep
Emulation E-Scholarship Services
ualization Tools urposing Tools Contributor User
Tools

13. SEAD CI Technical Approach
Active and Social Curation OAIS Repository Federation
Curation Boundary
Automated Curation
Data Metadata Workflow/Rule
Acquisition, A Engine
A Management
standardized data
model
nalysis and Operates on
DDI3. Scholarly
and federation capability
Simulation METS, PREMIS, MODS, DC
, SensorML, OGC, …
Metadata, Content Objects
and Trigger Events Communication
over OAIS-Standard
Ingest scripts:
Institutional Repositories Ingest, AIPs
Appraisal fixity, integrity, aut
Compound Objects - OAI-ORE
and CI Technical Approach
hentication, transf
Selection ormation
SEAD Active Data Digital Repository Federation
(OAIS compliant)
Systems Preservation
Actions
Dissemination Packages
Wide-Area File System
Search, Browse Migration
, and Access Mechanisms and
Annotation, Vis Use, Reuse, Rep
Emulation E-Scholarship Services
ualization Tools urposing Tools Contributor User
Tools

15. SEAD CI Technical Approach
Active and Social Curation OAIS Repository Federation
Curation Boundary
A robust, replicated distributed file
system used as a large-scaleCuration
Automated
backing
Workflow/Rule
Data Metadata
Acquisition, A store
Management
Engine
nalysis and Operates on
Simulation DDI3.
Metadata, Content Objects Scholarly
METS, PREMIS, MODS, DC
, SensorML, OGC, … and Trigger Events Communication
Ingest scripts:
Ingest, AIPs
Appraisal fixity, integrity, aut
Compound Objects - OAI-ORE
and CI Technical Approach
hentication, transf
VIVO/
Linked Data Active Selection ormation SEAD Trusted
Digital Repository Federation
Content (OAIS compliant) Preservation
Repository Actions
Dissemination Packages
Wide-Area File System
Search, Browse Migration
, and Access Mechanisms and
Annotation, Vis Use, Reuse, Rep
Emulation E-Scholarship Services
ualization Tools urposing Tools Contributor User
Tools

16. SEAD CI Technical Approach
Active and Social Curation OAIS Repository Federation
Curation Boundary
Automated Curation
Data MetadataAn Active Content Repository Workflow/Rule
Engine
Acquisition, A
nalysis and
based on standard
Management global IDs and
Operates on
Simulation DDI3.
semantic web technologies Scholarly
METS, PREMIS, MODS, DC
Metadata, Content Objects
, SensorML, OGC, … and Trigger Events Communication
- to collect and integrate
data, metadata, and provenance
Ingest scripts:
Ingest, AIPs
Appraisal fixity, integrity,
information from multiple sources.
Compound Objects - OAI-ORE
and CI Technical Approach
authentication,
VIVO/
Linked Data Active Selection transformation
DC:Creator SEAD Trusted
OPM:wasDerivedFrom
Digital Repository Federation
Content SWAN:isEvidenceFor…
(OAIS compliant) Preservation
Content
Repository Content
Actions
Content
Content Dissemination Packages
Wide-Area File System Lustre File
System
Search, Browse Migration
, and Access Mechanisms and
Annotation, Vis Use, Reuse, Rep
Emulation E-Scholarship Services
ualization Tools urposing Tools Contributor User
Tools

18. SEAD CI Technical Approach
Active and Social Curation OAIS Repository Federation
Curation Boundary
Automated Curation
Data SEAD will run a VIVO instance
Metadata Workflow/Rule
Acquisition, A Engine
nalysis and
and may harvest Linked Data from
Management
Operates on
Scholarly
Simulation other sources
DDI3.
Metadata, Content Objects
METS, PREMIS, MODS, DC
, SensorML, OGC, … and Trigger Events Communication
Ingest scripts:
Ingest, AIPs
Appraisal fixity, integrity, aut
Compound Objects - OAI-ORE
and CI Technical Approach
hentication, transf
VIVO/
Linked Data Active Selection ormation
Digital Repository Federation
Content VIVO Application: Open (OAIS compliant)
Source Preservation
Repositoryfederatable Researcher Actions
Dissemination Packages
Information –
Wide-Area File System
people, papers, projects, center
s, fields, etc.
Search, Browse Migration
, and Access Mechanisms and
Annotation, Vis Use, Reuse, Rep
Emulation E-Scholarship Services
ualization Tools urposing Tools Contributor User
Tools

20. SEAD CI Technical Approach
Active and Social Curation OAIS Repository Federation
Curation Boundary
Automated Curation
Data Metadata Workflow/Rule
Acquisition, Engine
Management
Analysis and Operates on
Simulation DDI3.
Metadata, Content Objects Scholarly
METS, PREMIS, MODS, DC
, SensorML, OGC, … and Trigger Events Communication
Ingest scripts:
Active and Social Curation AIPs
Appraisal fixity, integrity, aut
Ingest,
Compound Objects - OAI-ORE
VIVO/
Services supporting automated and
and CI Technical Approach
hentication, transf
Selection
Linked Data Active interactive use use SEAD Trusted
ormation
and interactive of SEADSEAD Federation
of Repository
Digital
Content - leveraging standard (OAIS compliant)
web Preservation
Repository Actions
application/web service toolkits and
Dissemination Packages
virtual machine infrastructure
and virtual machine infrastructure
Wide-Area File System
Search, Browse Migration
, and Access Mechanisms and
Annotation, Vis Use, Reuse, Rep
Emulation E-Scholarship Services
ualization Tools urposing Tools Contributor User
Tools

21. SEAD CI Technical Approach
Active and Social Curation OAIS Repository Federation
Curation Boundary
Automated Curation
Data Metadata Workflow/Rule
Acquisition, A Engine
Management
nalysis and Operates on
Simulation DDI3.
Metadata, Content Objects Scholarly
METS, PREMIS, MODS, DC
, SensorML, OGC, … and Trigger Events Communication
Ingest scripts:
Ingest, AIPs
Appraisal fixity, integrity, aut
Compound Objects - OAI-ORE
and CI Technical Approach
hentication, transf
Selection ormation SEAD Trusted
Active Content and Preservation Services Repository Federation
Curation Digital also
Repository (OAIS compliant) Preservation
leveraging standard web application/web Actions
service toolkits and virtual machine Dissemination Packages
infrastructure Wide-Area File System
Search, Browse Migration
, and Access Mechanisms and
Annotation, Vis Use, Reuse, Rep
Emulation E-Scholarship Services
ualization Tools urposing Tools Contributor User
Tools

22. Active and Social Curation OAIS Repository Federation
Curation Boundary
Automated Curation
Data Metadata Workflow/Rule
Acquisition, Engine
Management
Analysis and Operates on
Simulation DDI3.
Metadata, Content Objects Scholarly
METS, PREMIS, MODS, DC
, SensorML, OGC, … and Trigger Events Communication
Ingest scripts:
Ingest, AIPs
Appraisal fixity, integrity, aut
Compound Objects - OAI-ORE
and hentication, transf
VIVO/
Linked Data Active Selection ormation Digital Repository Federation
Content (OAIS compliant)
Preservation
Repository Actions
Dissemination Packages
Wide-Area File System
Search, Browse Migration
, and Access Mechanisms and
Annotation, Vis Use, Reuse, Rep
Emulation E-Scholarship Services
ualization Tools urposing Tools Contributor User
Tools

23. SEAD Active/Social Curation
Repository

37. SEAD VIVO: RIS2N3

38. SEAD Virtual Archive

39. Faceted search(Solr-based)
Facets

40. Search Result

41. A dataset or file looks like this

42. Geospatial search(from Postgres
index)

43. Geospatial search results

44. Login for data upload

45. Upload file
Files from Medici can also be added

46. Create collection (can have
multiple files)

47. Upload complete

48. Data ingested to DSpace
(Mississippi example)

49. SEAD Virtual Archive Architecture
VIVO
IU IR
DataCite DSpace
server
ID Server
Store data object, its metadata object, and
its relationship record (latter as RDF) in IR
as a collection
Register Obtain
DOI with DOI from register metadata to SOLR and PostgreS
VIVO DataCite for rapid retrieval of metadata
SIP
(Data+ Core
Metadata) Solr Property+
Data
SEAD Validation
Feature SIP AIP Index Domain
Ingest Extraction breakdown Metadata
(Fixity, Vir +
from Data
Client us) Data
/UI Ack
Geospatial
PostgreS +Temporal
Preservation Metadata Generation (Events) QL Index Metadata

50. Key Questions for SEAD
Prototype
• What could SEAD capture when?
• How can SEAD provide direct
value to data
producers, users, and curators?
• How can web 2.0/3.0 and social
computing lower barriers and
reduce/realign costs?

51. Towards A Shared Data Future
Data User functionalities, data
Users capture & transfer, virtual
Generators research environments
Data Curation
Data discovery &
navigation, workflow
Community Support Services
Trust
generation, annotation, interpre
tability
Persistent
storage, identification, authentic
Common Data Services ity (provenance), workflow
execution, data mining
Source: EU HLEG Report on Data Deluge: Riding the Wave, pg 31, 2010

52. Data Interoperability
• NSF OCI: DataNet and INTEROP now
DIBBs
• EUDAT
• Data Web Forum
• IETF Research Data Identifier BOF
• Upcoming Oct. US Meeting of
DataNet, INTEROP, Data Web Forum

53. Acknowledgements
SEAD is funded by the National Science
Foundation under cooperative agreement
#OCI0940824
• For more on SEAD go to:
• http://sead-data.net
• Follow us on Twitter
@SEADdatanet
http://sead-data.net

54. License terms
• Please cite as: McDonald, R.H. et. al. Building a Data Discovery Network for
Sustainability Science. 3rd International VIVO Conference, Miami, FL, 24
August 2012. Available from: [http://slidesha.re/Q9q8VW]
• Thanks to Margaret Hedstrom, who’s guided the team through the (really)
lengthy review process and to Jim Myers, Beth Plale, Praveen Kumar, Terry
McLaren, Luigi Marini, Kavitha Chandrasekar and others who provided
content for this presentation.
• The concepts and software being leveraged in SEAD represent the work of a
broad range of people over multiple years – their contributions have been
critical to launching SEAD.
• Items indicated with a © are under copyright and used here with permission.
Such items may not be reused without permission from the holder of copyright
except where license terms noted on a slide permit reuse.
• This document is released under the Creative Commons Attribution 3.0
Unported license (http://creativecommons.org/licenses/by/3.0/). This license
includes the following terms: You are free to share – to copy, distribute and
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