Barend Mons slides from #ISMB 2014: Trends in data publishing. Talk 3 in the "What Bioinformaticians need to know about digital publishing beyond the PDF2" workshop at ISMB 2014, Boston, 16th July 2014
9. F
A
I
R
Findable:
- PID for each concept used
- PID assignment (authorities)
- ARTA-service
Accessable:
- Machines can Map (IMS-service)
- License on data elements
- Authentication/Authorization
Interoperable:
- Machines understand data
- Download-link-data formats
- Workflows (Research Objects)
Re-usable:
- Functionally Interlinked
- Harmonized
- Citable and available for...
10.
11. PID
'provenance' (user defined)
Data (elements)
Metadata (intrinsic)
A simplified diagram of a Digital (data) Object irrespective of technological choices and naming
12. PID
'provenance' (user defined)
Data (elements)
Metadata (intrinsic)
Digital Object Architecture
s are Digital Objects
Nanopublications are Research ObjectsSome Research Objects
are
13. PID
Metadata (intrinsic)
'provenance' (user defined)
Data (elements)
Totally UNFAIR
PID
Metadata (intrinsic)
'provenance' (user defined)
Data (elements)
Findable
Usable for Humans
PID
Metadata (intrinsic)
'provenance' (user defined)
Data (elements)
FAIR metadata
PID
Metadata (intrinsic)
'provenance' (user defined)
Data (elements)
FAIR data-
restricted access
PID
Metadata (intrinsic)
'provenance' (user defined)
Data (elements)
FAIR data-
Open Access
PID
Metadata (intrinsic)
'provenance' (user defined)
Data (elements)
FAIR data-
Open Access/Functionally Linked
Data as increasingly FAIR Digital Objects
The full data cycle and:
Where the boudaries of ELIXIR are (ref: our discussion on the ‘left side’ (data design and planning and analysis/modelling
I put the third ‘flag’ there to emphasize that TRAINING of respected data experts is a remit of ELIXIR and that the NL node in GOBLET will participate. Argument: the better the (data colelction in) big data experiments of the future is planned and designed, the easier it is for ELIXIR later to deal with the data properly and serve them up for analysis at the end of the cycle. I can also emphaisze that the BBMRI etc. are more on the left and could partner with ELIXIR on the right etc.
We can discuss this slide once more before the meeting to align our messages.
sub-scenes: attribute servers, lots of user databases, etc