SlideShare a Scribd company logo
Surveying the Biomedical Resource
Landscape
Maryann E. Martone, Ph. D.
Professor Emeritus
University of California, San Diego
and
Director of Biosciences
Hypothesis
Biomedical Data Discovery Index
Mapping and building a
biomedical research
resource ecosystem
Database
Software Application
Data Analysis Service
Topical Portal
Core Facility
Ontology
Software Resource
Years:
NIF is an initiative of the
NIH Blueprint
consortium of institutes
– NIF has been tracking
and cataloging the
biomedical resource
landscape since 2008
NIF: A New Type of Entity for New Modes
of Scientific Dissemination
• NIF’s mission is to maximize the awareness of, access to and utility of
digital resources produced worldwide to enable better science and
promote efficient use
– NIF was one of the first attempts to unite neuroscience information without
respect to domain, funding agency, institute or community
– Confront the scale, dynamism of domain and fluidity of technology
– Thought about global search across independently maintained
resources
– NIF is a library for scholarly output that is a web enabled resource and not a paper;
a Pub Med and Pub Med Central for things that aren’t articles
– Aggregates and tracks all the different databases, tools and resources now
produced by the scientific community
– Makes them searchable from a single interface
– Educate neuroscientists and students about effective data sharing
http://neuinfo.org
Organizing framework
and portal for data
dashed lines: mapping of
metadata, standards,
links to aggregators,
datasets
aggregators: repositories
or various indices whose
metadata are or can be
mapped into Commons
metadata
Data
Digital objects
A data discovery index for
biomedicineThereisworkforeveryone(andmore)
datamed.biocaddie.org (v0.5) alpha testing
Registry vs Data index: Metadata about
resource vs metadata/data in database
With the thousands of databases and other information sources
available, simple descriptive metadata will not suffice
Each source is
categorized
and presents
custom
facets;
integrated
views
SciCrunch: A “social network” for resources
• NIF is a general search engine
across neuroscience and
biomedicine
• Many communities want to
create more focused portals
• Own brand
• Own view
• How do we create a system that
satisfies community needs
without creating another silo?
• SciCrunch: Configurable portals
on top of shared resource pools
Breaking down silos: Community enrichment
Like a Mendeley for resources!
Semantic Information Framework
• Aggregate of community ontologies with some extensions for neuroscience
• Available as services through SciCrunch and BioPortal —> SciGraph Neo4J-based
Organism
Molecule InvestigationSubcellular
structure
Cell
Dysfunction
Quality
Anatomical
Structure
SciCrunch uses ontologies to enhance search and discovery but is not constrained by them
NS Function
NIFSTD
Forebrain
Midbrain
Hindbrain
0
1-10
11-100
>101
Data Sources
Knowledge gaps: If we can’t search you, do you exist?
~800 million records across ~200 databases or views
Domain
Knowledge
• Ontologies
• Atlases/Ma
ps
Claims,
assertions
• Registries
• Annotation
• Models and
simulations
• Analyses
Data
• Databases
• Data sets
• Derived
data
Literature
Search and Discovery
Cannot try to shoe-horn everything into a single representation or system, but figure
out how information (data + knowledge) can flow between them; Knowledge is fluid
and will continually update
Creating a Data and Resource Discovery
Environment
ORCID
RRID
Data
Digital world runs on globally unique and persistent identifiers; PID’s serve as a
“key” for identifying the same entity across different contexts
e-Science Ecosystem
Metadatastandards
People
Research resources
Ontology
Concepts
DOI
Protocols
Minimal Information Models
TranslationNon-digital
Repositories
and
Registries
CDE
No resource provider is an island: ensure your objects are FAIR
PID
Repositories,
Registries,
Aggregators, Social
platforms, Workflow
platforms
Searchanddiscovery
Citationstandards
articles
software
Digital
Analyzed
Curated
GSE13732
Analyzed
Mirrored
But…even our standards need standards
GSE13732
E-GEOD-13732
GEO:GSE13732
Identifiers:
• Standardize formats
• Agreements on re-use and persistence
Making research objects FAIR
– You (and the machine) have to be able to
find it
• Accessible through the web
• Annotations
• Stable links and unique identifiers
– You have to be able to use it
• Data type specified and in a usable form
– You have to know what the data mean
• Some semantics
• Context: Experimental metadata
–You have to be able to cite it:
• Provenance: Where did the data come from?
Make your data FAIR: Findable, Accessible, Interoperable, Reusable
https://www.force11.org/group/fairgroup
X
Research Resource
Resource Identification Initiative: Linking
resources to literature
• Have authors supply appropriate
identifiers for key resources used
within a study such that they are:
– Machine processible (i.e., unique
identifier that resolves to a single
resource)
– Outside of the paywall
– Uniform across journals and publishers
• Pilot project: SciCrunch portal
serving identifiers for
– Software/databases (NIF RR)
– Antibodies (NIF AB Registry)
– Genetically modified organisms (NIF
aggregation)
Absolutely reliant on comprehensive registries to enforce uniqueness, persistence and
consistent metadata
What studies used...
Type RRID into
Google Scholar;
return a list of
papers that use
that resource
>700 papers
>90 journals
1000’s of RRID’s
Resource IDs from NIF aggregated databases
•A single portal for
authors
•>15 authoritative
databases
•One search interface
•Not just my research
resource
•Thinking globally
about infrastructure
RII Portal
http://scicrunch.org/resources
Utilized NIF/SciCrunch infrastructure-NIH
Blueprint; NIDDK
Linking data to Literature: Joint Declaration of
Data Citation Principles
• Synthesis of data
citation principles
– >25 groups
participating
• Designed to be high
level and easy to
understand
• Supplemented with a
glossary, references
and examples
http://www.force11.org/datacitation
1. Importance
2. Credit and attribution
3. Evidence
4. Unique Identification
5. Access
6. Persistence
7. Specificity and
verifiability
8. Interoperability and
flexibility
From Principles to Practice
And
you
!
Data Citation Pilot
hypothes.is: Web annotation
• Works as an
independent layer
over any web page or
PDF *(images, video
and data coming)
• Open source
• Standards based
• Easy-to-use
https://hypothes.is/annotating-all-knowledge/
Neuroscientist annotating her own paper to provide updates and additional
information
An interactive knowledge layer
Conclusions
• Investments in infrastructures-successful and unsuccessful-
have laid the foundations for a functioning ecosystem
• Comprehensive registries, repositories and aggregators play
a key role in providing stable and useful representations of
key digital entities
• Persistence is a social contract
• Population is key
• i.e., people and organizations are in the mix!
• Need to think globally across the workflow
• FORCE11 coordinating, collating and organizing principles
that govern flow of research objects within the ecosystem
• New technologies are constantly arising
How many are there?

More Related Content

What's hot

How Portable Are the Metadata Standards for Scientific Data?
How Portable Are the Metadata Standards for Scientific Data?How Portable Are the Metadata Standards for Scientific Data?
How Portable Are the Metadata Standards for Scientific Data?
Jian Qin
 
EcsiNeurosciences Information Framework (NIF): An example of community Cyberi...
EcsiNeurosciences Information Framework (NIF): An example of community Cyberi...EcsiNeurosciences Information Framework (NIF): An example of community Cyberi...
EcsiNeurosciences Information Framework (NIF): An example of community Cyberi...
Maryann Martone
 
The Neuroscience Information Framework: Establishing a practical semantic fra...
The Neuroscience Information Framework: Establishing a practical semantic fra...The Neuroscience Information Framework: Establishing a practical semantic fra...
The Neuroscience Information Framework: Establishing a practical semantic fra...
Neuroscience Information Framework
 
Navigating the Neuroscience Data Landscape
Navigating the Neuroscience Data LandscapeNavigating the Neuroscience Data Landscape
Navigating the Neuroscience Data Landscape
Neuroscience Information Framework
 
Martone grethe
Martone gretheMartone grethe
Martone grethe
Maryann Martone
 
The Uniform Resource Layer
The Uniform Resource LayerThe Uniform Resource Layer
The Uniform Resource Layer
Neuroscience Information Framework
 
Data Landscapes - Addiction
Data Landscapes - AddictionData Landscapes - Addiction
Data Landscapes - Addiction
Neuroscience Information Framework
 
HKU Data Curation MLIM7350 Class 9
HKU Data Curation MLIM7350 Class 9 HKU Data Curation MLIM7350 Class 9
HKU Data Curation MLIM7350 Class 9
Scott Edmunds
 
The real world of ontologies and phenotype representation: perspectives from...
The real world of ontologies and phenotype representation:  perspectives from...The real world of ontologies and phenotype representation:  perspectives from...
The real world of ontologies and phenotype representation: perspectives from...
Neuroscience Information Framework
 
Open Science and Open Data for Librarians
Open Science and Open Data for LibrariansOpen Science and Open Data for Librarians
Open Science and Open Data for Librarians
African Open Science Platform
 
Big data from small data:  A survey of the neuroscience landscape through the...
Big data from small data:  A survey of the neuroscience landscape through the...Big data from small data:  A survey of the neuroscience landscape through the...
Big data from small data:  A survey of the neuroscience landscape through the...
Maryann Martone
 
Addressing the New Challenges in Data Sharing: Large-Scale Data and Sensitive...
Addressing the New Challenges in Data Sharing: Large-Scale Data and Sensitive...Addressing the New Challenges in Data Sharing: Large-Scale Data and Sensitive...
Addressing the New Challenges in Data Sharing: Large-Scale Data and Sensitive...
Merce Crosas
 
Big data from small data: A deep survey of the neuroscience landscape data via
Big data from small data:  A deep survey of the neuroscience landscape data viaBig data from small data:  A deep survey of the neuroscience landscape data via
Big data from small data: A deep survey of the neuroscience landscape data via
Neuroscience Information Framework
 
eROSA Stakeholder WS1: Data discovery through federated dataset catalogues
eROSA Stakeholder WS1: Data discovery through federated dataset catalogueseROSA Stakeholder WS1: Data discovery through federated dataset catalogues
eROSA Stakeholder WS1: Data discovery through federated dataset catalogues
e-ROSA
 
FSCI Data Discovery
FSCI Data DiscoveryFSCI Data Discovery
FSCI Data Discovery
ARDC
 
Networked Science, And Integrating with Dataverse
Networked Science, And Integrating with DataverseNetworked Science, And Integrating with Dataverse
Networked Science, And Integrating with Dataverse
Anita de Waard
 
The Dataverse Commons
The Dataverse CommonsThe Dataverse Commons
The Dataverse Commons
Merce Crosas
 
EiTESAL eHealth Conference 14&15 May 2017
EiTESAL eHealth Conference 14&15 May 2017 EiTESAL eHealth Conference 14&15 May 2017
EiTESAL eHealth Conference 14&15 May 2017
EITESANGO
 

What's hot (18)

How Portable Are the Metadata Standards for Scientific Data?
How Portable Are the Metadata Standards for Scientific Data?How Portable Are the Metadata Standards for Scientific Data?
How Portable Are the Metadata Standards for Scientific Data?
 
EcsiNeurosciences Information Framework (NIF): An example of community Cyberi...
EcsiNeurosciences Information Framework (NIF): An example of community Cyberi...EcsiNeurosciences Information Framework (NIF): An example of community Cyberi...
EcsiNeurosciences Information Framework (NIF): An example of community Cyberi...
 
The Neuroscience Information Framework: Establishing a practical semantic fra...
The Neuroscience Information Framework: Establishing a practical semantic fra...The Neuroscience Information Framework: Establishing a practical semantic fra...
The Neuroscience Information Framework: Establishing a practical semantic fra...
 
Navigating the Neuroscience Data Landscape
Navigating the Neuroscience Data LandscapeNavigating the Neuroscience Data Landscape
Navigating the Neuroscience Data Landscape
 
Martone grethe
Martone gretheMartone grethe
Martone grethe
 
The Uniform Resource Layer
The Uniform Resource LayerThe Uniform Resource Layer
The Uniform Resource Layer
 
Data Landscapes - Addiction
Data Landscapes - AddictionData Landscapes - Addiction
Data Landscapes - Addiction
 
HKU Data Curation MLIM7350 Class 9
HKU Data Curation MLIM7350 Class 9 HKU Data Curation MLIM7350 Class 9
HKU Data Curation MLIM7350 Class 9
 
The real world of ontologies and phenotype representation: perspectives from...
The real world of ontologies and phenotype representation:  perspectives from...The real world of ontologies and phenotype representation:  perspectives from...
The real world of ontologies and phenotype representation: perspectives from...
 
Open Science and Open Data for Librarians
Open Science and Open Data for LibrariansOpen Science and Open Data for Librarians
Open Science and Open Data for Librarians
 
Big data from small data:  A survey of the neuroscience landscape through the...
Big data from small data:  A survey of the neuroscience landscape through the...Big data from small data:  A survey of the neuroscience landscape through the...
Big data from small data:  A survey of the neuroscience landscape through the...
 
Addressing the New Challenges in Data Sharing: Large-Scale Data and Sensitive...
Addressing the New Challenges in Data Sharing: Large-Scale Data and Sensitive...Addressing the New Challenges in Data Sharing: Large-Scale Data and Sensitive...
Addressing the New Challenges in Data Sharing: Large-Scale Data and Sensitive...
 
Big data from small data: A deep survey of the neuroscience landscape data via
Big data from small data:  A deep survey of the neuroscience landscape data viaBig data from small data:  A deep survey of the neuroscience landscape data via
Big data from small data: A deep survey of the neuroscience landscape data via
 
eROSA Stakeholder WS1: Data discovery through federated dataset catalogues
eROSA Stakeholder WS1: Data discovery through federated dataset catalogueseROSA Stakeholder WS1: Data discovery through federated dataset catalogues
eROSA Stakeholder WS1: Data discovery through federated dataset catalogues
 
FSCI Data Discovery
FSCI Data DiscoveryFSCI Data Discovery
FSCI Data Discovery
 
Networked Science, And Integrating with Dataverse
Networked Science, And Integrating with DataverseNetworked Science, And Integrating with Dataverse
Networked Science, And Integrating with Dataverse
 
The Dataverse Commons
The Dataverse CommonsThe Dataverse Commons
The Dataverse Commons
 
EiTESAL eHealth Conference 14&15 May 2017
EiTESAL eHealth Conference 14&15 May 2017 EiTESAL eHealth Conference 14&15 May 2017
EiTESAL eHealth Conference 14&15 May 2017
 

Similar to Martone acs presentation

bioCADDIE Webinar: The NIDDK Information Network (dkNET) - A Community Resear...
bioCADDIE Webinar: The NIDDK Information Network (dkNET) - A Community Resear...bioCADDIE Webinar: The NIDDK Information Network (dkNET) - A Community Resear...
bioCADDIE Webinar: The NIDDK Information Network (dkNET) - A Community Resear...
dkNET
 
RDAP14: Maryann Martone, Keynote, The Neuroscience Information Framework
RDAP14: Maryann Martone, Keynote, The Neuroscience Information FrameworkRDAP14: Maryann Martone, Keynote, The Neuroscience Information Framework
RDAP14: Maryann Martone, Keynote, The Neuroscience Information Framework
ASIS&T
 
A Lined Data Approach to Interoperability between Biomedical Resource Invento...
A Lined Data Approach to Interoperability between Biomedical Resource Invento...A Lined Data Approach to Interoperability between Biomedical Resource Invento...
A Lined Data Approach to Interoperability between Biomedical Resource Invento...
Trish Whetzel
 
A Deep Survey of the Digital Resource Landscape
A Deep Survey of the Digital Resource LandscapeA Deep Survey of the Digital Resource Landscape
A Deep Survey of the Digital Resource Landscape
Neuroscience Information Framework
 
Identifiers for Researchers and Data: Increasing Attribution and Discovery– J...
Identifiers for Researchers and Data: Increasing Attribution and Discovery– J...Identifiers for Researchers and Data: Increasing Attribution and Discovery– J...
Identifiers for Researchers and Data: Increasing Attribution and Discovery– J...
ALISS
 
Creating Sustainable Communities in Open Data Resources: The eagle-i and VIVO...
Creating Sustainable Communities in Open Data Resources: The eagle-i and VIVO...Creating Sustainable Communities in Open Data Resources: The eagle-i and VIVO...
Creating Sustainable Communities in Open Data Resources: The eagle-i and VIVO...
Robert H. McDonald
 
Open Access and Research Communication: The Perspective of Force11
Open Access and Research Communication: The Perspective of Force11Open Access and Research Communication: The Perspective of Force11
Open Access and Research Communication: The Perspective of Force11
Maryann Martone
 
Identifying and tracking research resources using RRIDs: a practical approach
Identifying and tracking research resources using RRIDs:  a practical approachIdentifying and tracking research resources using RRIDs:  a practical approach
Identifying and tracking research resources using RRIDs: a practical approach
dkNET
 
“Where do we start?”: opportunities for libraries to support research data ma...
“Where do we start?”: opportunities for libraries to support research data ma...“Where do we start?”: opportunities for libraries to support research data ma...
“Where do we start?”: opportunities for libraries to support research data ma...
LIBER Europe
 
NIH iDASH meeting on data sharing - BioSharing, ISA and Scientific Data
NIH iDASH meeting on data sharing - BioSharing, ISA and Scientific DataNIH iDASH meeting on data sharing - BioSharing, ISA and Scientific Data
NIH iDASH meeting on data sharing - BioSharing, ISA and Scientific Data
Susanna-Assunta Sansone
 
Institutional Repositories
Institutional RepositoriesInstitutional Repositories
Institutional Repositories
Sridhar Gutam
 
The Future of Research Communications and e-Scholarship: Are we there yet?
The Future of Research Communications and e-Scholarship: Are we there yet?The Future of Research Communications and e-Scholarship: Are we there yet?
The Future of Research Communications and e-Scholarship: Are we there yet?
National Information Standards Organization (NISO)
 
dkNET Webinar: Discover the Latest from dkNET - Biomed Resource Watch 06/02/2023
dkNET Webinar: Discover the Latest from dkNET - Biomed Resource Watch 06/02/2023dkNET Webinar: Discover the Latest from dkNET - Biomed Resource Watch 06/02/2023
dkNET Webinar: Discover the Latest from dkNET - Biomed Resource Watch 06/02/2023
dkNET
 
Neurosciences Information Framework (NIF): An example of community Cyberinfra...
Neurosciences Information Framework (NIF): An example of community Cyberinfra...Neurosciences Information Framework (NIF): An example of community Cyberinfra...
Neurosciences Information Framework (NIF): An example of community Cyberinfra...
Neuroscience Information Framework
 
5-14-13 An Introduction to VIVO Presentation Slides
5-14-13 An Introduction to VIVO Presentation Slides5-14-13 An Introduction to VIVO Presentation Slides
5-14-13 An Introduction to VIVO Presentation Slides
DuraSpace
 
Virtual Communities: Catalysts for Advancing Scholarship
Virtual Communities: Catalysts for Advancing ScholarshipVirtual Communities: Catalysts for Advancing Scholarship
Virtual Communities: Catalysts for Advancing ScholarshipJohn Butler
 
Virtual Communities: Catalysts for Advancing Scholarship
Virtual Communities: Catalysts for Advancing ScholarshipVirtual Communities: Catalysts for Advancing Scholarship
Virtual Communities: Catalysts for Advancing ScholarshipJohn Butler
 
Open Science, Open Data: towards a new transparent and reproducible ecosystem
Open Science, Open Data:   towards a new transparent and reproducible ecosystemOpen Science, Open Data:   towards a new transparent and reproducible ecosystem
Open Science, Open Data: towards a new transparent and reproducible ecosystem
LIBER Europe
 

Similar to Martone acs presentation (20)

bioCADDIE Webinar: The NIDDK Information Network (dkNET) - A Community Resear...
bioCADDIE Webinar: The NIDDK Information Network (dkNET) - A Community Resear...bioCADDIE Webinar: The NIDDK Information Network (dkNET) - A Community Resear...
bioCADDIE Webinar: The NIDDK Information Network (dkNET) - A Community Resear...
 
RDAP14: Maryann Martone, Keynote, The Neuroscience Information Framework
RDAP14: Maryann Martone, Keynote, The Neuroscience Information FrameworkRDAP14: Maryann Martone, Keynote, The Neuroscience Information Framework
RDAP14: Maryann Martone, Keynote, The Neuroscience Information Framework
 
A Lined Data Approach to Interoperability between Biomedical Resource Invento...
A Lined Data Approach to Interoperability between Biomedical Resource Invento...A Lined Data Approach to Interoperability between Biomedical Resource Invento...
A Lined Data Approach to Interoperability between Biomedical Resource Invento...
 
A Deep Survey of the Digital Resource Landscape
A Deep Survey of the Digital Resource LandscapeA Deep Survey of the Digital Resource Landscape
A Deep Survey of the Digital Resource Landscape
 
Identifiers for Researchers and Data: Increasing Attribution and Discovery– J...
Identifiers for Researchers and Data: Increasing Attribution and Discovery– J...Identifiers for Researchers and Data: Increasing Attribution and Discovery– J...
Identifiers for Researchers and Data: Increasing Attribution and Discovery– J...
 
Creating Sustainable Communities in Open Data Resources: The eagle-i and VIVO...
Creating Sustainable Communities in Open Data Resources: The eagle-i and VIVO...Creating Sustainable Communities in Open Data Resources: The eagle-i and VIVO...
Creating Sustainable Communities in Open Data Resources: The eagle-i and VIVO...
 
Open Access and Research Communication: The Perspective of Force11
Open Access and Research Communication: The Perspective of Force11Open Access and Research Communication: The Perspective of Force11
Open Access and Research Communication: The Perspective of Force11
 
Identifying and tracking research resources using RRIDs: a practical approach
Identifying and tracking research resources using RRIDs:  a practical approachIdentifying and tracking research resources using RRIDs:  a practical approach
Identifying and tracking research resources using RRIDs: a practical approach
 
“Where do we start?”: opportunities for libraries to support research data ma...
“Where do we start?”: opportunities for libraries to support research data ma...“Where do we start?”: opportunities for libraries to support research data ma...
“Where do we start?”: opportunities for libraries to support research data ma...
 
NIH iDASH meeting on data sharing - BioSharing, ISA and Scientific Data
NIH iDASH meeting on data sharing - BioSharing, ISA and Scientific DataNIH iDASH meeting on data sharing - BioSharing, ISA and Scientific Data
NIH iDASH meeting on data sharing - BioSharing, ISA and Scientific Data
 
Institutional Repositories
Institutional RepositoriesInstitutional Repositories
Institutional Repositories
 
The Future of Research Communications and e-Scholarship: Are we there yet?
The Future of Research Communications and e-Scholarship: Are we there yet?The Future of Research Communications and e-Scholarship: Are we there yet?
The Future of Research Communications and e-Scholarship: Are we there yet?
 
dkNET Webinar: Discover the Latest from dkNET - Biomed Resource Watch 06/02/2023
dkNET Webinar: Discover the Latest from dkNET - Biomed Resource Watch 06/02/2023dkNET Webinar: Discover the Latest from dkNET - Biomed Resource Watch 06/02/2023
dkNET Webinar: Discover the Latest from dkNET - Biomed Resource Watch 06/02/2023
 
Neurosciences Information Framework (NIF): An example of community Cyberinfra...
Neurosciences Information Framework (NIF): An example of community Cyberinfra...Neurosciences Information Framework (NIF): An example of community Cyberinfra...
Neurosciences Information Framework (NIF): An example of community Cyberinfra...
 
Open Science
Open Science Open Science
Open Science
 
Kristi Holmes. A bird’s-eye view of scholarship at the individual, institutio...
Kristi Holmes. A bird’s-eye view of scholarship at the individual, institutio...Kristi Holmes. A bird’s-eye view of scholarship at the individual, institutio...
Kristi Holmes. A bird’s-eye view of scholarship at the individual, institutio...
 
5-14-13 An Introduction to VIVO Presentation Slides
5-14-13 An Introduction to VIVO Presentation Slides5-14-13 An Introduction to VIVO Presentation Slides
5-14-13 An Introduction to VIVO Presentation Slides
 
Virtual Communities: Catalysts for Advancing Scholarship
Virtual Communities: Catalysts for Advancing ScholarshipVirtual Communities: Catalysts for Advancing Scholarship
Virtual Communities: Catalysts for Advancing Scholarship
 
Virtual Communities: Catalysts for Advancing Scholarship
Virtual Communities: Catalysts for Advancing ScholarshipVirtual Communities: Catalysts for Advancing Scholarship
Virtual Communities: Catalysts for Advancing Scholarship
 
Open Science, Open Data: towards a new transparent and reproducible ecosystem
Open Science, Open Data:   towards a new transparent and reproducible ecosystemOpen Science, Open Data:   towards a new transparent and reproducible ecosystem
Open Science, Open Data: towards a new transparent and reproducible ecosystem
 

More from Neuroscience Information Framework

Why should my institution support RRIDs?
Why should my institution support RRIDs?Why should my institution support RRIDs?
Why should my institution support RRIDs?
Neuroscience Information Framework
 
Why should Journals ask fo RRIDs?
Why should Journals ask fo RRIDs?Why should Journals ask fo RRIDs?
Why should Journals ask fo RRIDs?
Neuroscience Information Framework
 
Funders and RRIDs
Funders and RRIDsFunders and RRIDs
INCF 2013 - Uniform Resource Layer
INCF 2013 - Uniform Resource LayerINCF 2013 - Uniform Resource Layer
INCF 2013 - Uniform Resource Layer
Neuroscience Information Framework
 
The Neuroscience Information Framework: A Scalable Platform for Information E...
The Neuroscience Information Framework: A Scalable Platform for Information E...The Neuroscience Information Framework: A Scalable Platform for Information E...
The Neuroscience Information Framework: A Scalable Platform for Information E...
Neuroscience Information Framework
 
The possibility and probability of a global Neuroscience Information Framework
The possibility and probability of a global Neuroscience Information Framework The possibility and probability of a global Neuroscience Information Framework
The possibility and probability of a global Neuroscience Information Framework
Neuroscience Information Framework
 
NIF: A vision for a uniform resource layer
NIF: A vision for a uniform resource layerNIF: A vision for a uniform resource layer
NIF: A vision for a uniform resource layer
Neuroscience Information Framework
 
Publishing for the 21st Century: Experiences from the NEUROSCIENCE INFORMATIO...
Publishing for the 21st Century: Experiences from the NEUROSCIENCE INFORMATIO...Publishing for the 21st Century: Experiences from the NEUROSCIENCE INFORMATIO...
Publishing for the 21st Century: Experiences from the NEUROSCIENCE INFORMATIO...
Neuroscience Information Framework
 
In Search of a Missing Link in the Data Deluge vs. Data Scarcity Debate
In Search of a Missing Link in the Data Deluge vs. Data Scarcity DebateIn Search of a Missing Link in the Data Deluge vs. Data Scarcity Debate
In Search of a Missing Link in the Data Deluge vs. Data Scarcity Debate
Neuroscience Information Framework
 
The Neuroscience Information Framework:The present and future of neuroscience...
The Neuroscience Information Framework:The present and future of neuroscience...The Neuroscience Information Framework:The present and future of neuroscience...
The Neuroscience Information Framework:The present and future of neuroscience...
Neuroscience Information Framework
 
NIFSTD and NeuroLex: A Comprehensive Ontology Development Based on Multiple B...
NIFSTD and NeuroLex: A Comprehensive Ontology Development Based on Multiple B...NIFSTD and NeuroLex: A Comprehensive Ontology Development Based on Multiple B...
NIFSTD and NeuroLex: A Comprehensive Ontology Development Based on Multiple B...
Neuroscience Information Framework
 
NIFSTD and NeuroLex: A Comprehensive Ontology Development Based on Multiple B...
NIFSTD and NeuroLex: A Comprehensive Ontology Development Based on Multiple B...NIFSTD and NeuroLex: A Comprehensive Ontology Development Based on Multiple B...
NIFSTD and NeuroLex: A Comprehensive Ontology Development Based on Multiple B...
Neuroscience Information Framework
 
Neuroscience Information Framework Ontologies: Nerve cells in Neurolex and NI...
Neuroscience Information Framework Ontologies: Nerve cells in Neurolex and NI...Neuroscience Information Framework Ontologies: Nerve cells in Neurolex and NI...
Neuroscience Information Framework Ontologies: Nerve cells in Neurolex and NI...
Neuroscience Information Framework
 

More from Neuroscience Information Framework (20)

Why should my institution support RRIDs?
Why should my institution support RRIDs?Why should my institution support RRIDs?
Why should my institution support RRIDs?
 
Why should Journals ask fo RRIDs?
Why should Journals ask fo RRIDs?Why should Journals ask fo RRIDs?
Why should Journals ask fo RRIDs?
 
Funders and RRIDs
Funders and RRIDsFunders and RRIDs
Funders and RRIDs
 
INCF 2013 - Uniform Resource Layer
INCF 2013 - Uniform Resource LayerINCF 2013 - Uniform Resource Layer
INCF 2013 - Uniform Resource Layer
 
The Neuroscience Information Framework: A Scalable Platform for Information E...
The Neuroscience Information Framework: A Scalable Platform for Information E...The Neuroscience Information Framework: A Scalable Platform for Information E...
The Neuroscience Information Framework: A Scalable Platform for Information E...
 
NIF services overview
NIF services overviewNIF services overview
NIF services overview
 
NIF Lexical Overview
NIF Lexical OverviewNIF Lexical Overview
NIF Lexical Overview
 
NIF Services
NIF ServicesNIF Services
NIF Services
 
NIF Data Registration
NIF Data RegistrationNIF Data Registration
NIF Data Registration
 
NIF Data Ingest
NIF Data IngestNIF Data Ingest
NIF Data Ingest
 
NIF Data Federation
NIF Data FederationNIF Data Federation
NIF Data Federation
 
NIF Overview
NIF Overview NIF Overview
NIF Overview
 
The possibility and probability of a global Neuroscience Information Framework
The possibility and probability of a global Neuroscience Information Framework The possibility and probability of a global Neuroscience Information Framework
The possibility and probability of a global Neuroscience Information Framework
 
NIF: A vision for a uniform resource layer
NIF: A vision for a uniform resource layerNIF: A vision for a uniform resource layer
NIF: A vision for a uniform resource layer
 
Publishing for the 21st Century: Experiences from the NEUROSCIENCE INFORMATIO...
Publishing for the 21st Century: Experiences from the NEUROSCIENCE INFORMATIO...Publishing for the 21st Century: Experiences from the NEUROSCIENCE INFORMATIO...
Publishing for the 21st Century: Experiences from the NEUROSCIENCE INFORMATIO...
 
In Search of a Missing Link in the Data Deluge vs. Data Scarcity Debate
In Search of a Missing Link in the Data Deluge vs. Data Scarcity DebateIn Search of a Missing Link in the Data Deluge vs. Data Scarcity Debate
In Search of a Missing Link in the Data Deluge vs. Data Scarcity Debate
 
The Neuroscience Information Framework:The present and future of neuroscience...
The Neuroscience Information Framework:The present and future of neuroscience...The Neuroscience Information Framework:The present and future of neuroscience...
The Neuroscience Information Framework:The present and future of neuroscience...
 
NIFSTD and NeuroLex: A Comprehensive Ontology Development Based on Multiple B...
NIFSTD and NeuroLex: A Comprehensive Ontology Development Based on Multiple B...NIFSTD and NeuroLex: A Comprehensive Ontology Development Based on Multiple B...
NIFSTD and NeuroLex: A Comprehensive Ontology Development Based on Multiple B...
 
NIFSTD and NeuroLex: A Comprehensive Ontology Development Based on Multiple B...
NIFSTD and NeuroLex: A Comprehensive Ontology Development Based on Multiple B...NIFSTD and NeuroLex: A Comprehensive Ontology Development Based on Multiple B...
NIFSTD and NeuroLex: A Comprehensive Ontology Development Based on Multiple B...
 
Neuroscience Information Framework Ontologies: Nerve cells in Neurolex and NI...
Neuroscience Information Framework Ontologies: Nerve cells in Neurolex and NI...Neuroscience Information Framework Ontologies: Nerve cells in Neurolex and NI...
Neuroscience Information Framework Ontologies: Nerve cells in Neurolex and NI...
 

Recently uploaded

In silico drugs analogue design: novobiocin analogues.pptx
In silico drugs analogue design: novobiocin analogues.pptxIn silico drugs analogue design: novobiocin analogues.pptx
In silico drugs analogue design: novobiocin analogues.pptx
AlaminAfendy1
 
Body fluids_tonicity_dehydration_hypovolemia_hypervolemia.pptx
Body fluids_tonicity_dehydration_hypovolemia_hypervolemia.pptxBody fluids_tonicity_dehydration_hypovolemia_hypervolemia.pptx
Body fluids_tonicity_dehydration_hypovolemia_hypervolemia.pptx
muralinath2
 
Nucleic Acid-its structural and functional complexity.
Nucleic Acid-its structural and functional complexity.Nucleic Acid-its structural and functional complexity.
Nucleic Acid-its structural and functional complexity.
Nistarini College, Purulia (W.B) India
 
Cancer cell metabolism: special Reference to Lactate Pathway
Cancer cell metabolism: special Reference to Lactate PathwayCancer cell metabolism: special Reference to Lactate Pathway
Cancer cell metabolism: special Reference to Lactate Pathway
AADYARAJPANDEY1
 
The ASGCT Annual Meeting was packed with exciting progress in the field advan...
The ASGCT Annual Meeting was packed with exciting progress in the field advan...The ASGCT Annual Meeting was packed with exciting progress in the field advan...
The ASGCT Annual Meeting was packed with exciting progress in the field advan...
Health Advances
 
extra-chromosomal-inheritance[1].pptx.pdfpdf
extra-chromosomal-inheritance[1].pptx.pdfpdfextra-chromosomal-inheritance[1].pptx.pdfpdf
extra-chromosomal-inheritance[1].pptx.pdfpdf
DiyaBiswas10
 
GBSN - Microbiology (Lab 4) Culture Media
GBSN - Microbiology (Lab 4) Culture MediaGBSN - Microbiology (Lab 4) Culture Media
GBSN - Microbiology (Lab 4) Culture Media
Areesha Ahmad
 
Structures and textures of metamorphic rocks
Structures and textures of metamorphic rocksStructures and textures of metamorphic rocks
Structures and textures of metamorphic rocks
kumarmathi863
 
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.
Sérgio Sacani
 
Comparative structure of adrenal gland in vertebrates
Comparative structure of adrenal gland in vertebratesComparative structure of adrenal gland in vertebrates
Comparative structure of adrenal gland in vertebrates
sachin783648
 
NuGOweek 2024 Ghent - programme - final version
NuGOweek 2024 Ghent - programme - final versionNuGOweek 2024 Ghent - programme - final version
NuGOweek 2024 Ghent - programme - final version
pablovgd
 
Hemoglobin metabolism_pathophysiology.pptx
Hemoglobin metabolism_pathophysiology.pptxHemoglobin metabolism_pathophysiology.pptx
Hemoglobin metabolism_pathophysiology.pptx
muralinath2
 
Astronomy Update- Curiosity’s exploration of Mars _ Local Briefs _ leadertele...
Astronomy Update- Curiosity’s exploration of Mars _ Local Briefs _ leadertele...Astronomy Update- Curiosity’s exploration of Mars _ Local Briefs _ leadertele...
Astronomy Update- Curiosity’s exploration of Mars _ Local Briefs _ leadertele...
NathanBaughman3
 
insect taxonomy importance systematics and classification
insect taxonomy importance systematics and classificationinsect taxonomy importance systematics and classification
insect taxonomy importance systematics and classification
anitaento25
 
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...
Ana Luísa Pinho
 
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...
Sérgio Sacani
 
Circulatory system_ Laplace law. Ohms law.reynaults law,baro-chemo-receptors-...
Circulatory system_ Laplace law. Ohms law.reynaults law,baro-chemo-receptors-...Circulatory system_ Laplace law. Ohms law.reynaults law,baro-chemo-receptors-...
Circulatory system_ Laplace law. Ohms law.reynaults law,baro-chemo-receptors-...
muralinath2
 
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...
Scintica Instrumentation
 
platelets_clotting_biogenesis.clot retractionpptx
platelets_clotting_biogenesis.clot retractionpptxplatelets_clotting_biogenesis.clot retractionpptx
platelets_clotting_biogenesis.clot retractionpptx
muralinath2
 
in vitro propagation of plants lecture note.pptx
in vitro propagation of plants lecture note.pptxin vitro propagation of plants lecture note.pptx
in vitro propagation of plants lecture note.pptx
yusufzako14
 

Recently uploaded (20)

In silico drugs analogue design: novobiocin analogues.pptx
In silico drugs analogue design: novobiocin analogues.pptxIn silico drugs analogue design: novobiocin analogues.pptx
In silico drugs analogue design: novobiocin analogues.pptx
 
Body fluids_tonicity_dehydration_hypovolemia_hypervolemia.pptx
Body fluids_tonicity_dehydration_hypovolemia_hypervolemia.pptxBody fluids_tonicity_dehydration_hypovolemia_hypervolemia.pptx
Body fluids_tonicity_dehydration_hypovolemia_hypervolemia.pptx
 
Nucleic Acid-its structural and functional complexity.
Nucleic Acid-its structural and functional complexity.Nucleic Acid-its structural and functional complexity.
Nucleic Acid-its structural and functional complexity.
 
Cancer cell metabolism: special Reference to Lactate Pathway
Cancer cell metabolism: special Reference to Lactate PathwayCancer cell metabolism: special Reference to Lactate Pathway
Cancer cell metabolism: special Reference to Lactate Pathway
 
The ASGCT Annual Meeting was packed with exciting progress in the field advan...
The ASGCT Annual Meeting was packed with exciting progress in the field advan...The ASGCT Annual Meeting was packed with exciting progress in the field advan...
The ASGCT Annual Meeting was packed with exciting progress in the field advan...
 
extra-chromosomal-inheritance[1].pptx.pdfpdf
extra-chromosomal-inheritance[1].pptx.pdfpdfextra-chromosomal-inheritance[1].pptx.pdfpdf
extra-chromosomal-inheritance[1].pptx.pdfpdf
 
GBSN - Microbiology (Lab 4) Culture Media
GBSN - Microbiology (Lab 4) Culture MediaGBSN - Microbiology (Lab 4) Culture Media
GBSN - Microbiology (Lab 4) Culture Media
 
Structures and textures of metamorphic rocks
Structures and textures of metamorphic rocksStructures and textures of metamorphic rocks
Structures and textures of metamorphic rocks
 
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.
 
Comparative structure of adrenal gland in vertebrates
Comparative structure of adrenal gland in vertebratesComparative structure of adrenal gland in vertebrates
Comparative structure of adrenal gland in vertebrates
 
NuGOweek 2024 Ghent - programme - final version
NuGOweek 2024 Ghent - programme - final versionNuGOweek 2024 Ghent - programme - final version
NuGOweek 2024 Ghent - programme - final version
 
Hemoglobin metabolism_pathophysiology.pptx
Hemoglobin metabolism_pathophysiology.pptxHemoglobin metabolism_pathophysiology.pptx
Hemoglobin metabolism_pathophysiology.pptx
 
Astronomy Update- Curiosity’s exploration of Mars _ Local Briefs _ leadertele...
Astronomy Update- Curiosity’s exploration of Mars _ Local Briefs _ leadertele...Astronomy Update- Curiosity’s exploration of Mars _ Local Briefs _ leadertele...
Astronomy Update- Curiosity’s exploration of Mars _ Local Briefs _ leadertele...
 
insect taxonomy importance systematics and classification
insect taxonomy importance systematics and classificationinsect taxonomy importance systematics and classification
insect taxonomy importance systematics and classification
 
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...
 
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...
 
Circulatory system_ Laplace law. Ohms law.reynaults law,baro-chemo-receptors-...
Circulatory system_ Laplace law. Ohms law.reynaults law,baro-chemo-receptors-...Circulatory system_ Laplace law. Ohms law.reynaults law,baro-chemo-receptors-...
Circulatory system_ Laplace law. Ohms law.reynaults law,baro-chemo-receptors-...
 
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...
 
platelets_clotting_biogenesis.clot retractionpptx
platelets_clotting_biogenesis.clot retractionpptxplatelets_clotting_biogenesis.clot retractionpptx
platelets_clotting_biogenesis.clot retractionpptx
 
in vitro propagation of plants lecture note.pptx
in vitro propagation of plants lecture note.pptxin vitro propagation of plants lecture note.pptx
in vitro propagation of plants lecture note.pptx
 

Martone acs presentation

  • 1. Surveying the Biomedical Resource Landscape Maryann E. Martone, Ph. D. Professor Emeritus University of California, San Diego and Director of Biosciences Hypothesis
  • 2. Biomedical Data Discovery Index Mapping and building a biomedical research resource ecosystem
  • 3. Database Software Application Data Analysis Service Topical Portal Core Facility Ontology Software Resource Years: NIF is an initiative of the NIH Blueprint consortium of institutes – NIF has been tracking and cataloging the biomedical resource landscape since 2008
  • 4. NIF: A New Type of Entity for New Modes of Scientific Dissemination • NIF’s mission is to maximize the awareness of, access to and utility of digital resources produced worldwide to enable better science and promote efficient use – NIF was one of the first attempts to unite neuroscience information without respect to domain, funding agency, institute or community – Confront the scale, dynamism of domain and fluidity of technology – Thought about global search across independently maintained resources – NIF is a library for scholarly output that is a web enabled resource and not a paper; a Pub Med and Pub Med Central for things that aren’t articles – Aggregates and tracks all the different databases, tools and resources now produced by the scientific community – Makes them searchable from a single interface – Educate neuroscientists and students about effective data sharing http://neuinfo.org
  • 5. Organizing framework and portal for data dashed lines: mapping of metadata, standards, links to aggregators, datasets aggregators: repositories or various indices whose metadata are or can be mapped into Commons metadata Data Digital objects A data discovery index for biomedicineThereisworkforeveryone(andmore) datamed.biocaddie.org (v0.5) alpha testing
  • 6. Registry vs Data index: Metadata about resource vs metadata/data in database With the thousands of databases and other information sources available, simple descriptive metadata will not suffice Each source is categorized and presents custom facets; integrated views
  • 7. SciCrunch: A “social network” for resources • NIF is a general search engine across neuroscience and biomedicine • Many communities want to create more focused portals • Own brand • Own view • How do we create a system that satisfies community needs without creating another silo? • SciCrunch: Configurable portals on top of shared resource pools
  • 8. Breaking down silos: Community enrichment Like a Mendeley for resources!
  • 9. Semantic Information Framework • Aggregate of community ontologies with some extensions for neuroscience • Available as services through SciCrunch and BioPortal —> SciGraph Neo4J-based Organism Molecule InvestigationSubcellular structure Cell Dysfunction Quality Anatomical Structure SciCrunch uses ontologies to enhance search and discovery but is not constrained by them NS Function NIFSTD
  • 10. Forebrain Midbrain Hindbrain 0 1-10 11-100 >101 Data Sources Knowledge gaps: If we can’t search you, do you exist? ~800 million records across ~200 databases or views
  • 11. Domain Knowledge • Ontologies • Atlases/Ma ps Claims, assertions • Registries • Annotation • Models and simulations • Analyses Data • Databases • Data sets • Derived data Literature Search and Discovery Cannot try to shoe-horn everything into a single representation or system, but figure out how information (data + knowledge) can flow between them; Knowledge is fluid and will continually update Creating a Data and Resource Discovery Environment
  • 12. ORCID RRID Data Digital world runs on globally unique and persistent identifiers; PID’s serve as a “key” for identifying the same entity across different contexts e-Science Ecosystem Metadatastandards People Research resources Ontology Concepts DOI Protocols Minimal Information Models TranslationNon-digital Repositories and Registries CDE No resource provider is an island: ensure your objects are FAIR PID Repositories, Registries, Aggregators, Social platforms, Workflow platforms Searchanddiscovery Citationstandards articles software Digital
  • 13. Analyzed Curated GSE13732 Analyzed Mirrored But…even our standards need standards GSE13732 E-GEOD-13732 GEO:GSE13732 Identifiers: • Standardize formats • Agreements on re-use and persistence
  • 14. Making research objects FAIR – You (and the machine) have to be able to find it • Accessible through the web • Annotations • Stable links and unique identifiers – You have to be able to use it • Data type specified and in a usable form – You have to know what the data mean • Some semantics • Context: Experimental metadata –You have to be able to cite it: • Provenance: Where did the data come from? Make your data FAIR: Findable, Accessible, Interoperable, Reusable https://www.force11.org/group/fairgroup X Research Resource
  • 15. Resource Identification Initiative: Linking resources to literature • Have authors supply appropriate identifiers for key resources used within a study such that they are: – Machine processible (i.e., unique identifier that resolves to a single resource) – Outside of the paywall – Uniform across journals and publishers • Pilot project: SciCrunch portal serving identifiers for – Software/databases (NIF RR) – Antibodies (NIF AB Registry) – Genetically modified organisms (NIF aggregation) Absolutely reliant on comprehensive registries to enforce uniqueness, persistence and consistent metadata
  • 16. What studies used... Type RRID into Google Scholar; return a list of papers that use that resource >700 papers >90 journals 1000’s of RRID’s
  • 17. Resource IDs from NIF aggregated databases •A single portal for authors •>15 authoritative databases •One search interface •Not just my research resource •Thinking globally about infrastructure RII Portal http://scicrunch.org/resources Utilized NIF/SciCrunch infrastructure-NIH Blueprint; NIDDK
  • 18. Linking data to Literature: Joint Declaration of Data Citation Principles • Synthesis of data citation principles – >25 groups participating • Designed to be high level and easy to understand • Supplemented with a glossary, references and examples http://www.force11.org/datacitation 1. Importance 2. Credit and attribution 3. Evidence 4. Unique Identification 5. Access 6. Persistence 7. Specificity and verifiability 8. Interoperability and flexibility
  • 19. From Principles to Practice And you ! Data Citation Pilot
  • 20. hypothes.is: Web annotation • Works as an independent layer over any web page or PDF *(images, video and data coming) • Open source • Standards based • Easy-to-use https://hypothes.is/annotating-all-knowledge/
  • 21. Neuroscientist annotating her own paper to provide updates and additional information An interactive knowledge layer
  • 22. Conclusions • Investments in infrastructures-successful and unsuccessful- have laid the foundations for a functioning ecosystem • Comprehensive registries, repositories and aggregators play a key role in providing stable and useful representations of key digital entities • Persistence is a social contract • Population is key • i.e., people and organizations are in the mix! • Need to think globally across the workflow • FORCE11 coordinating, collating and organizing principles that govern flow of research objects within the ecosystem • New technologies are constantly arising
  • 23. How many are there?

Editor's Notes

  1. Figure X: Resource types and year added to the registry. Research resources are each tagged with one or more resource types, the most common are represented in this graph (for all data see http://neurolex.org/wiki/Resource_Type_Hierarchy). The year that a resource was added to the registry is denoted by the color, note that 2009 and earlier data are lumped into 2010.
  2. The core of the DDI (Data Discovery Index) is indexing of data (digital objects) drawn from data repositories. These consist of individual repositories (e.g. PDB) but sources of data can also include aggregators (e.g. OmicsDI, LINCS) that draw from multiple repositories. bioCADDIE is not to replace existing indices. It is for community to work together to maximize the discoverability on top of the existing indices. BioCADDIE indexes the data and provides a search engine that users can access through a User Interface.
  3. Diabetes and addiction?