Data are often contextualized, and therefore trapped, by software created for particular context. For data to become reusable outside its intended context, it must be self-describing elevating the data schema to the data layer. Furthermore, some cases require software processes be described as data using techniques such as the PROV data model.

1. Linked Data: Forming
Partnerships at the Data Layer
IN12A-03
AGU Fall Meeting 2015
Monday, 14 December

10. the
BILLION DOLLAR
QUESTION
How do we prevent our high-quality
digital data from becoming dark data
when shared with our partners?

11. Five Star Open Data
http://5stardata.info/en/

12. Five Star Open Data
http://5stardata.info/en/

13. RDF moves data schema to data layer

14. Partnerships in Big Data

15. Big Data Challenges at BCO-DMO
VERACITY
Uncertainty of the data
VARIETY
Heterogeneity of the data

16. Veracity: Cruise Metadata

19. Data Partnering = Blind Date

20. Software: The silent partners
Data Exchange

21. Assumptions in Software
Software
Agent
X
Partner A Partner B
Software
Agent
Y
Context A
Concept Maps
Data Schema
Data Types
DATA

22. 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

23. Identify software assumptions about
data
& capture provenance

24. Variety: External Related Datasets

26. Assumptions
1. LTER data are available at DataONE
2. LTER Site has a specific identifier at
DataONE
3. Query DataONE SOLR endpoint with the
identifier

27. Provenance in RDF

28. Provenance in RDF

29. Tool: PROV-O-Viz

32. DataONE: The silent partner

33. Researchers
Aggregators
Archives
Domain Repositories
Data Scope

34. Researchers
Aggregators
Archives
Domain Repositories
RDF
Data

35. Researchers
Aggregators
Archives
Domain Repositories
RDF
Data

36. Researchers
Aggregators
Archives
Domain Repositories
ISO
Today

37. Researchers
Aggregators
Archives
Domain Repositories
ISO
Today
RDF
Data
RDF
Data
RDF
Data

38. Researchers
Aggregators
Archives
Domain Repositories
ISO
Today
RDF
Data
RDF
Data
RDF
Data

39. Researchers
Aggregators
Archives
Domain Repositories
ISO
Today
RDF
Data
RDF
Data
RDF
Data

40. 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

43. Recap
1. Recognize digital data can still be dark
2. Elevate data schema to data layer
3. Identify data assumptions in software &
capture provenance

46. QUESTIONS?

47. 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)
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