Presentation on July 30, 2014 to CLIR Post-Doctoral Fellows at Bryn Mawr College.

1. https://twitter.com/cory_foy/status/493759969045409792/photo/1

2. On Science Research Data
Jeffrey Lancaster, Ph.D.
Emerging Technologies Coordinator
Columbia University Libraries
jeffrey.lancaster@columbia.edu
@j_lancaster

3. How do you feel about being
ever-increasingly bombarded
by data?

4. On Science Research Data

5. On Science Research Data
Computer Science
Chemical
Biological
Geological
Engineering
Medical
Psychological
Mathematical
Physical
Astronomical
Etc.

6. SciencesHumanitiesSocial
Sciences
<1990’s
Text
Census
Data
Experimental
Data
Highly structured Wild West, y’all

7. SciencesHumanities
Social Sciences
>2010’s
Text
Census
Exp. Data
Digital
Humanities
Regression
Analysis
Data
Mining
Code

8. Practices in science research
drive institutional approaches to
research support.
Why?

9. Data Lifecycle

10. Data Lifecycle
Data Management Planning
Formats, Metadata
Storage
Funding
Etc.mat

11. Data Lifecycle
Original Data
Collected Data

12. Data Lifecycle
Formats, Metadata
Software
Methodology

13. Data Lifecycle
Publishing
Copyright
Intellectual Prop.
Open Access
Repositories
(Alt)metrics

14. Professor Nick Turro
(1938-2012)

15. Applica*ons?
Plausible?
Useful?
Novel?
New
Ques*ons
New
Knowledge
Patents
Background
Jus*fica*on
Conferences
Community
Conversa*on
Data
Analysis
Confirma*on
Reagents
Protocols
Learning
Up
to
Speed
Researchers
Students
Jus*fica*on
Grants
JOB
&
FUNDING
PUBLISH
PEOPLE
FUNDING
ANALYSIS
&
RESULTS
EXPERIMENTS
RESEARCH
PLAN
IDEA
Big
or
small
Discussion
Conferences
Talks
Ar*cles
Thesis
Talks
The Research Workflow
Adapted
from
Laura
Cro/
@
Nature

16. Baseline:
What’s the minimum you need
to know about a field/subject
to be helpful?

17. Case Study 1: I’m on a Boat!
R/V Marcus G. Langseth

18. Case Study 1: I’m on a Boat!
MCS Acquisition
Syntrak 960-24
SSI Seisnet active tape
emulation
Hydrophone arrays
Sentry solid cable
12.5 meter groups
150m sections
up to four towed
separation 50 - 150 meters
Source Arrays
4 x 10 gun strings
9 active, one spare / string
15 meter string length
1650 cu. In. per string
Source Controller
DigiShot
MCS geometry sensors
Digicourse 5011 Compassbirds
Digicourse Digirange
Tailbuoy GPS
Source GPS (1 per string)
MCS Navigation
Concept Systems, Ltd Spectra,
Sprint, Reflex
MCS QC
Syntrak
SeisNet
ProMaxx
Focus
Communications
HighSeasNet
Inmarsat Sailor 500 FleetBroadband
Iridium Sailor Satellite Phone
Multibeam / Echsounder
Kongsberg EM122 1° x 1°
Knudsen 3260 Echosounder
Marine Mammals Observation/
Mitigation
Seiche Passive Acoustic Monitoring
Streamer
2 x Fujinon Big Eye Binoculars
General
Bell BGM-3 Gravimeter
Geometrics 882 Magnetometer
RDI 75KHz ADCP
Stbd Side A frame
Telescoping Stern Boom
SippicanMk21ExpendableProbeLauncher
Teflon-lined Uncontaminated Seawater
System
Seabird SBE21 Thermosalinograph
LDEO PCO2
RM Young Weather Station

19. Activity: Spreadsheets
What do you observe about the data?
Can you describe the experiment that was being done?
What did the researcher do well?
What can be improved in how the data is kept/shared?

20. Case Study 2: Breaking Bad

21. Activity: Lab Notebooks
What do you observe about the data?
Can you describe the experiment that was being done?
What did the researcher do well?
What can be improved in how the data is kept/shared?

22. Case Study 3: Needle in a Haystack
http://core-genomics.blogspot.com/2012/05/resources-for-public-understanding-of.html

23. Big Data
+
Data Science
CERN:
approx. 1 PB/sec = 1000 TB/sec = 1000000 GB/sec
filtered to 1 GB/sec
http://arstechnica.com/science/2010/08/lhc-computing-grid-pushes-petabytes-of-data-beats-expectations/

24. Big Data
+
Data Science
Institute for Data Sciences & Engineering:
• Cybersecurity Center
• Financial and Business Analytics Center
• Foundations of Data Science Center
• Health Analytics Center
• New Media Center
• Smart Cities Center

25. Conversation: Code
What is special about code?
What do you need to know to help a patron code?
What are best practices for code use?
Could you find out the most used bits of code in 2014?

26. Some disciplines have repositories.
Some don’t.
Some institutions have repositories.
Some don’t.

27. figshare.com
Share
research
components
to
make
them
discoverable
&
citable;
get
metrics

28. DOIs for Code
Github + Mozilla + Figshare à DOIs
Mozilla: Software Carpentry

29. Future: Electronic Lab Notebooks

30. Science metadata depends on the
discipline.
Sort of.

31. Some Problems with
Science (Data)

32. Scientists are lazy.
But:
They’ll do what funders tell them to.

33. Crowd-Funding Science
Funding
science
may
no
longer
rely
upon
government.
Interested
people,
engaged
by
social
media
presence,
are
key
to
raising
money
from
the
crowd.

34. Reproducibility Initiative
Address
the
reproducibility
of
your
research
in
a
blind,
fee-­‐for-­‐service
validaFon
Validated
studies
receive
a
Cer*ficate
of
Reproducibility
acknowledging
that
their
results
have
been
independently
reproduced.

35. (Some) Scientists are private.
About some things.
And some scientists are not.

36. ORCID, ResearcherID, etc.
Unique
idenFfiers
for
researchers
to
cross-­‐reference
publicaFons,
acFviFes,
etc.
John
Smith
vs.
J.
Smith
vs.
John
D.
Smith
vs.
J.
D.
Smith
vs.
JD
Smith
vs.
…
Wang
Kim
vs.
W.
Kim
vs.
Kim
Wang
vs.
K.
Wang
…
ORCID:
0000-­‐0003-­‐0458-­‐2127
ResearcherID:
J-­‐6870-­‐2012

37. Sharing doesn’t count.
Until now.

38. Run My Code
Share
code
used
to
analyze
data;
others
can
implement
the
same
methodology
• Biology
• Mathema*cs
• Neuroscience
• Sta*s*cs
• Social
sciences
• Economics
• Econometrics
• Finance
• Management
• R
• MATLAB©
• C++
• Fortran
• Rats
• More
sodware
will
be
added
soon.
Oh,
and
it’s
free!

39. Altmetric(s)
Capture
overall
impact
of
a
publicaFon
in
blogs,
tweets,
menFons,
news,
etc.

40. Applica*ons?
Plausible?
Useful?
Novel?
New
Ques*ons
New
Knowledge
Patents
Background
Jus*fica*on
Conferences
Community
Conversa*on
Data
Analysis
Confirma*on
Reagents
Protocols
Learning
Up
to
Speed
Researchers
Students
Jus*fica*on
Grants
JOB
&
FUNDING
PUBLISH
PEOPLE
FUNDING
ANALYSIS
&
RESULTS
EXPERIMENTS
RESEARCH
PLAN
IDEA
Big
or
small
Discussion
Conferences
Talks
Ar*cles
Thesis
Talks
So. Many. Tools.

41. Digital Science

42. Digital Science Librarian

43. Questions?
Jeffrey Lancaster, Ph.D.
Emerging Technologies Coordinator
Columbia University Libraries
jeffrey.lancaster@columbia.edu
@j_lancaster
http://www.slideshare.net/jeffreylancaster/

44. Science @ Columbia
columbiascience.tumblr.com