1
Streamlining the research data archival process at Johns Hopkins
University
Dr. Jonathan PettersJohns Hopkins Data Management Services
5 June 2014
JHU Data Management Services 5 June 2014
2
Interest from Libraries in Providing Research Data Management Services
(RDMS)
JHU Data Management Services 5 June 2014
Offer data management services (54)
100%
68%
Planning to offer DMS (17)
23%
Offer research support services (broadly defined) (73) 100%
ARL SpecKit 334: Research Data Management Services, Fearon, David Jr.; Gunia, Betsy; Lake, Sherry; Pralle, Barbara E.; Sallans, Andrew L. July 2013.
3
Digital Collections Management is One Aspect of RDMS
JHU Data Management Services 5 June 2014
4
Resources Required
JHU Data Management Services 5 June 2014
http://commons.wikimedia.org/wiki/File:Hazelton_coal_miners.jpghttp://commons.wikimedia.org/wiki/File:Video_archive.jpg
5
A pilot project for the JHU Data Archive (Engineering research)
Archive is discipline and format agnostic
Size Dependent Thermodynamics and Kinetics in Electric Field Mediated Colloidal Crystal Assembly , Edwards, T.D.; Beltran-Villegas, D.J.; Bevan, M.A. Soft Matter Vol.9, 9208-9218, 2013
JHU Data Management Services 5 June 2014
6
Pilots allow for experimentation!
Took several actions in preparing and depositing the data collection into the JHU Data Archive
~75 hoursJHU Data Management Services 5 June 2014
7
Background Research
http://www.jhu.edu/bevan/index.html
JHU Data Management Services 5 June 2014
~23 Hours
8
Interactions with the Researcher
JHU Data Management Services 5 June 2014
~10 Hours
9
2. Use Pertubation Theory
6. Run Monte Carlo Simulations
10. Validate minimum voltage results
14. Take Video Microscopy for kinetic system size effects
16. Fit to Smoluchowski Model
8. Take Video Microscopy
JHU Data Management Services 5 June 2014
~16 Hours Data Workflow Diagram
10
Creating/Modifying Data Item Descriptors
JHU Data Management Services 5 June 2014
Data Collection
Data Products
Descriptors
~10 Hours
11
Format Migration and Annotation
JHU Data Management Services 5 June 2014
http://www.sigmaplot.com/products/sigmaplot/sigmaplot-details.php
Migrate
Annotate
~9 Hours
12
Uploading Collection
JHU Data Management Services 5 June 2014
~7 Hours
13
Which actions to focus on?
~75 hours a collection is not scalable, how much can we reduce hours for those actions?
~75 hours -> ~28 hours
JHU Data Management Services 5 June 2014
14
Background Research
http://www.jhu.edu/bevan/index.html
JHU Data Management Services 5 June 2014
~23 Hours~6 Hours
Otherwise we’re fumbling in the dark
15
Interactions with the Researcher
JHU Data Management Services 5 June 2014
~10 Hours~8 Hours
Must be well-planned and focused
16
2. Use Pertubation Theory
6. Run Monte Carlo Simulations
10. Validate minimum voltage results
14. Take Video Microscopy for kinetic system size effects
16. Fit to Smoluchowski Model
8. Take Video Microscopy
JHU Data Management Services 5 June 2014
Data Workflow Diagram
~16 Hours ~5 Hours
17
Creating/Modifying Data Item Descriptors
JHU Data Management Services 5 June 2014
Data Collection
Data Products
Descriptors
~10 Hours ~3 Hours
18
Format Migration and Annotation
JHU Data Management Services 5 June 2014
http://www.sigmaplot.com/products/sigmaplot/sigmaplot-details.php
Migrate
Annotate
~9 Hours ~0 Hours
19
Uploading Collection
JHU Data Management Services 5 June 2014
~7 Hours~6 Hours
20
Thanks!JHU Data Management Serviceshttp://dmp.data.jhu.edu/[email protected]
JHU Data Archive - http://archive.data.jhu.edu
Jonathan Petters - [email protected]
JHU Data Management Services 5 June 2014
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