Linked Data: Forming Partnerships at the Data

Layer IN12A-03

AGU Fall Meeting 2015Monday, 14 December

theBILLION DOLLARQUESTION

How do we prevent our high-quality digital data from becoming dark data

when shared with our partners?

Five Star Open Data

http://5stardata.info/en/

Five Star Open Data

http://5stardata.info/en/

RDF moves data schema to data layer

Partnerships in Big Data

Big Data Challenges at BCO-DMO

VERACITY Uncertainty of the data

VARIETY Heterogeneity of the data

Veracity: Cruise Metadata

Data Partnering = Blind Date

Software: The silent partners

Data Exchange

Assumptions in Software

SoftwareAgent

X

Partner A Partner BSoftware

AgentY

Context A

Concept MapsData SchemaData Types

DATA

Community Recommendations for Sustainable Scientific Software

http://dx.doi.org/10.5334/jors.bt

“Science software must be sustainable and reliable to contribute to future science practices….the research community needs to ensure that science software can be relied upon to reproduce research results.”

- R. R. Downs, et al., Journal of Open Research Software, 2015

Identify software assumptions about data

& capture provenance

Variety: External Related Datasets

Assumptions1. LTER data are available at DataONE

2. LTER Site has a specific identifier at DataONE

3. Query DataONE SOLR endpoint with the identifier

Provenance in RDF

Provenance in RDF

Tool: PROV-O-Viz

DataONE: The silent partner

Researchers

Aggregators

Archives

Domain Repositories

Data Scope

Researchers

Aggregators

Archives

Domain Repositories

RDFData

Researchers

Aggregators

Archives

Domain Repositories

RDFData

Researchers

Aggregators

Archives

Domain Repositories

ISO

Today

Researchers

Aggregators

Archives

Domain Repositories

ISO

Today

RDFData

RDFData

RDFData

Researchers

Aggregators

Archives

Domain Repositories

ISO

Today

RDFData

RDFData

RDFData

Researchers

Aggregators

Archives

Domain Repositories

ISO

Today

RDFData

RDFData

RDFData

Where do we start?

To elevate your business logic to the data layer:TWC Semantic Web Methodology

http://tw.rpi.edu/web/doc/TWC_SemanticWebMethodology

Recap

1. Recognize digital data can still be dark

2. Elevate data schema to data layer

3. Identify data assumptions in software & capture provenance

QUESTIONS?

PA13B-02 Improved Access to NSF Funded Ocean Research Data (oral)

IN41C Semantics for the Discovery, Access & Integration of Geoscience Data (session)

IN41C-1710 EarthCube GeoLink: Semantics and Linked Data for the Geosciences (poster)

Related AGU Things