This document discusses making scientific data fair, open, and reusable. It defines the FAIR guiding principles of findable, accessible, interoperable and reusable data and describes what each principle entails. It then expands on these principles by introducing FAIR-TLC, which adds the dimensions of traceable, licensed and connected. The document argues that adopting FAIR-TLC practices and developing tools to support them can help improve the sharing and reuse of scientific data. It also suggests ways to incentivize open science through funding and publication requirements.

1. SCIENCE IN THE
OPEN,
WHAT DOES IT
TAKE?
MELISSA HAENDEL DATA JAMBOREE
MARCH 3RD, 2017
@ontowonka

2. THERE ARE OVER 1500 PUBLIC
DATABASES IN NUCLEIC ACIDS
RESEARCH DATABASE COLLECTION
https://doi.org/10.1093/nar/gkw1188

3. HOW MANY OF THESE ARE
TRULY OPEN?
OPENNESS IS AN NAR
REQUIREMENT, BUT …

4. OPEN DATA IS FAIR DATA
http://www.nature.com/articles/sdata201618
Findable Accessible Interoperable Reusable

5. ANATOMY OF FAIRNESS
Metadata
Identifiers
Registration
Preservation
Standards
McMurry et al Identifiers for the 21st century bit.ly/identifiers-revision-2017

6. WHAT MAKES DATA FAIR:
FINDABLE
F1. (meta)data are assigned a globally unique and
persistent identifier
F2. data are described with rich metadata (defined
by R1 below)
F3. metadata clearly and explicitly include the
identifier of the data it describes
F4. (meta)data are registered or indexed in a
searchable resource

7. WHAT MAKES DATA FAIR:
ACCESSIBLE
A1. (meta) data are retrievable by their identifier
using a standardized communications protocol
A1.1 the protocol is open, free, and universally
implementable
A1.2 the protocol allows for an authentication
and authorization procedure, where necessary
A2. metadata are accessible, even when the
data are no longer available

8. WHAT MAKES DATA FAIR:
INTEROPERABLE
I1. (meta)data use a formal, accessible, shared,
and broadly applicable language for knowledge
representation.
I2. (meta)data use vocabularies that follow FAIR
principles
I3. (meta)data include qualified references to
other (meta)data

9. WHAT MAKES DATA FAIR:
REUSABLE
R1. meta(data) are richly described with a plurality of
accurate and relevant attributes
R1.1. (meta)data are released with a clear and
accessible data usage license
R1.2. (meta)data are associated with detailed
provenance
R1.3. (meta)data meet domain-relevant community
standards

10. LETS CALL OUT A FEW MORE
THINGS.
https://zenodo.org/record/203295

11. Findable Accessible Interoperable Reusable
FAIR-TLC
Traceable Licensed Connected

12. FAIR-TLC:
TRACEABILITY
T1: Provenance
The data’s provenance is well documented and attributed (the data within
the resource)
T2: Attribution
The contributions to the content (data, tools, algorithms, sources, etc.) are
clearly declared.
Documentation on how to cite a record from a source or the whole
resource

13. FAIR-TLC: LICENSURE
http://peterdesmet.com/posts/analyzing-gbif-data-licenses.html
Not all data resources are free to use, derive,
and redistribute, even if they are publicly funded
and seemingly publicly available.

14. FAIR-TLC: CONNECTED
BECAUSE AGGREGATED != INTEGRATED

15. FAIR-TLC AS AN EVAL RUBRIC
Room for
improvement
bit.ly/open-science-prize
Open imaging

16. DISCUSSION:
HOW DO WE DO BETTER?
Make the right thing the easy thing:
- Carrots:
- Tenure & promotion cycles
- Dedicated funding for increasing FAIR-
TLC
- Sticks:
- Publication requirements
- Funding requirements
- Tools:
- Tracking tools
- Documentation tools

17. FAIR-TLC = OPEN SCIENCE
Findable Accessible Interoperable Reusable
Traceable Licensed Connected
Coming soon reusabledata.org