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Among other research data management services, Johns Hopkins University Data Management Services (JHUDMS, http://dmp.data.jhu.edu) provides its researchers the opportunity to preserve and share their data through the JHU Data Archive. This archive is a research data-specific repository that can host a wide variety of quantitative and qualitative data, and is both format- and discipline-agnostic. We in JHUDMS have begun archiving research data originating from two NSF-funded engineering research projects. This archiving process has begun with data associated with publications, which may be a typical model for library research data archives. These efforts have been an opportunity to understand the time and effort required for activities that can add value to a research data collection (e.g. discussions with the researcher, development of data flow diagrams, migration of data to non-proprietary formats). We will discuss these collections and the steps taken to create them. It is of benefit to both the researchers and JHUDMS to scope and streamline the archiving process with research data associated with publications in mind. We will discuss our current understanding of the most effective curation activities we can efficiently accomplish, parameters for those activities, and those elements perceived by the researcher to be most valuable.
Citation preview
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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
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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.
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Digital Collections Management is One Aspect of RDMS
JHU Data Management Services 5 June 2014
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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
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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
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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
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Background Research
http://www.jhu.edu/bevan/index.html
JHU Data Management Services 5 June 2014
~23 Hours
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Interactions with the Researcher
JHU Data Management Services 5 June 2014
~10 Hours
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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
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Creating/Modifying Data Item Descriptors
JHU Data Management Services 5 June 2014
Data Collection
Data Products
Descriptors
~10 Hours
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Format Migration and Annotation
JHU Data Management Services 5 June 2014
http://www.sigmaplot.com/products/sigmaplot/sigmaplot-details.php
Migrate
Annotate
~9 Hours
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Uploading Collection
JHU Data Management Services 5 June 2014
~7 Hours
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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
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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
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Interactions with the Researcher
JHU Data Management Services 5 June 2014
~10 Hours~8 Hours
Must be well-planned and focused
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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
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Creating/Modifying Data Item Descriptors
JHU Data Management Services 5 June 2014
Data Collection
Data Products
Descriptors
~10 Hours ~3 Hours
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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
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Uploading Collection
JHU Data Management Services 5 June 2014
~7 Hours~6 Hours
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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
