SCIENCE IN THE OPEN, WHAT DOES

IT TAKE?MELISSA HAENDEL DATA JAMBOREE MARCH 3RD, 2017

@ontowonka

THERE ARE OVER 1500 PUBLIC DATABASES IN NUCLEIC ACIDS RESEARCH DATABASE COLLECTION

https://doi.org/10.1093/nar/gkw1188

HOW MANY OF THESE ARE TRULY OPEN?

OPENNESS IS AN NAR REQUIREMENT, BUT …

OPEN DATA IS FAIR DATA

http://www.nature.com/articles/sdata201618

Findable Accessible Interoperable Reusable

ANATOMY OF FAIRNESS

Metadata

Identifiers

Registration

Preservation

Standards

McMurry et al Identifiers for the 21st century bit.ly/identifiers-revision-2017

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

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

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

WHAT MAKES DATA FAIR: REUSABLER1. 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

LETS CALL OUT A FEW MORE THINGS.

https://zenodo.org/record/203295

Findable Accessible Interoperable Reusable

FAIR-TLC

Traceable Licensed Connected

FAIR-TLC: TRACEABILITY

T1: ProvenanceThe data’s provenance is well documented and attributed (the data within the resource)

T2: AttributionThe 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

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.

FAIR-TLC: CONNECTEDBECAUSE AGGREGATED != INTEGRATED

FAIR-TLC AS AN EVAL RUBRIC Room for

improvement

bit.ly/open-science-prize

Open imaging

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- Social tools

FAIR-TLC = OPEN SCIENCE

Findable Accessible Interoperable Reusable

Traceable Licensed Connected

Coming soon reusabledata.org