Quickly re-publish CSV/TSV files from existing repositories as FAIR Data with just a few mouse clicks! You select the columns to "project" as Linked Data, and the associated ontology terms. The FAIR Projector Builder will create a FAIR Projector for you: a Triple Pattern Fragment server to provide the Linked Data; a published DCAT Distribution containing metadata about those triples and their source; and an RML model (syntactic and semantic of the triples, to aid in third-party discovery of this novel projection. (current status - first prototype, not ready for public consumption) ------- Thanks to the NBDC/DBCLS for sponsoring the hackathon series. MDW also funded by Ministerio de Economía y Competitividad grant number TIN2014-55993-RM

1. Activity Update:
FAIR Projector Builder
Mark D Wilkinson
CBGP UPM-INIA
Madrid http://tinyurl.com/FAIRProjectorBuilder

4. http://identifiers.org/uniprot/P06213

5. http://snpeffect.switchlab.org/uniprot/INSR_HUMAN

6. What do we do today?
1. Download the file
2. Write a custom script (probably) to transform it to triples
3. Use the triples
a. Load them into our local triplestore...
b. or refer to the local file in our SPARQL query
4. Throw the triples in the wastebasket
5. Throw the script in the wastebasket

7. The next person who needs triples...

8. The next person who needs triples...
1. Download the file
2. Write a custom script (probably) to transform it to triples
3. Use the triples
a. Load them into our local triplestore...
b. or refer to the local file in our SPARQL query
4. Throw the triples in the wastebasket
5. Throw the script in the wastebasket

9. RE

10. FAIR Projection
Goal: Transform non-Linked-Data to Linked Data….
● In a way that makes it findable
● In a way that makes it accessible
● In a way that makes it reusable

11. FAIR Projection
Goal: Transform non-Linked-Data to Linked Data….
● In a way that makes it findable
● In a way that makes it accessible
● In a way that makes it reusable

14. The first few lines of the file, with columns numbered

15. How many lines are headers? (in this case, one)

17. Column 1
http://
identifiers.org
/uniprot/{ }
rdf:type
EDAM 2291
(UniProt ID)

19. Column 2
http://snpeffect.
switchlab.org/u
niprot/{ }
rdf:type
SIO Phenotype

20. (If you know what you want
this all takes about 1 minute)

22. The URL to your triples
(Includes Triple Pattern
Fragments hypermedia
controls)

23. The metadata published
with those triples follows
the guidelines of a
FAIR Accessor
(DCAT; LDP Compliant)

24. A syntactic and semantic
description of those
triples using RML
(used for discovery of
these data by others)

25. A syntactic and semantic
description of those
triples using RML
(used for discovery of
these data by others)

26. Your triples are a new
DCAT Distribution of
https://zenodo.org/
record/890267/files/
dataoutput.csv
In three possible formats

27. The Plack server
configuration file that
created the FAIR
Projector service
(Just for interest)

28. curl -H "Accept: text/turtle"
http://linkeddata.systems:3002/fragments
?predicate=http%3A%2F%2Fsemanticscience.org
%2Fresource%2FSIO_001279

30. SPARQL over those triples...

31. ldf-client - a node.js
SPARQL query resolver
that “speaks TPF”
Written by Ruben Verborgh
ldf-client http://linkeddata.systems:3002/fragments query.sparql
select * where
{
?s a ?st .
?s <http://semanticscience.org/resource/SIO_001279> ?o .
?o a ?ot
}
query.sparql

32. Query Response

33. Current Status:
not ready for public consumption…
I will send a message to the BIoHack
community when it is ready for others
to beta-test it.

34. Thank You to NBDC/DBCLS
and especially to Toshiaki-san
for 10 years of amazing Hackathons!!

35. Additional funding for Mark Wilkinson
Thanks to:
Ministerio de Economía y Competitividad
grant number TIN2014-55993-RM