Streamlining the research data archival process at Johns




















- Slides: 20
Streamlining the research data archival process at Johns Hopkins University Dr. Jonathan Petters Johns Hopkins Data Management Services 5 June 2014 JHU Data Management Services 5 June 2014 1
Interest from Libraries in Providing Research Data Management Services (RDMS) 100% Offer research support services (broadly defined) (73) Offer data management services (54) Planning to offer DMS (17) 100% 68% 23% ARL Spec. Kit 334: Research Data Management Services, Fearon, David Jr. ; Gunia, Betsy; Lake, Sherry; Pralle, Barbara E. ; Sallans, Andrew L. July 2013. 2 JHU Data Management Services 5 June 2014
Digital Collections Management is One Aspect of RDMS JHU Data Management Services 5 June 2014 3
Resources Required http: //commons. wikimedia. org/wiki/File: Video_archive. jpg http: //commons. wikimedia. org/wiki/File: Hazelton_coal_miners. jpg JHU Data Management Services 5 June 2014 4
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 5
Pilots allow for experimentation! Took several actions in preparing and depositing the data collection into the JHU Data Archive ~75 hours JHU Data Management Services 5 June 2014 6
~23 Hours Background Research http: //www. jhu. edu/bevan/index. html JHU Data Management Services 5 June 2014 7
~10 Hours Interactions with the Researcher JHU Data Management Services 5 June 2014 8
Data Workflow Diagram 2. Use Pertubation Theory ~16 Hours 16. Fit to Smoluchowski Model 10. Validate minimum voltage results 6. Run Monte Carlo Simulations 14. Take Video Microscopy for kinetic system size effects 8. Take Video Microscopy JHU Data Management Services 5 June 2014 9
Creating/Modifying Data Item Descriptors ~10 Hours Descriptors Data Collection Data Products JHU Data Management Services 5 June 2014 10
Format Migration and Annotation ~9 Hours M igr at An no ta te e http: //www. sigmaplot. com/products/sigmaplot-details. php JHU Data Management Services 5 June 2014 11
Uploading Collection JHU Data Management Services 5 June 2014 ~7 Hours 12
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 13
~23 Hours ~6 Hours Background Research http: //www. jhu. edu/bevan/index. html Otherwise we’re fumbling in the dark JHU Data Management Services 5 June 2014 14
~10 Hours ~8 Hours Interactions with the Researcher Must be well-planned and focused JHU Data Management Services 5 June 2014 15
Data Workflow Diagram 2. Use Pertubation Theory ~16 Hours ~5 Hours 16. Fit to Smoluchowski Model 10. Validate minimum voltage results 6. Run Monte Carlo Simulations 14. Take Video Microscopy for kinetic system size effects 8. Take Video Microscopy JHU Data Management Services 5 June 2014 16
Creating/Modifying Data Item Descriptors ~10 Hours ~3 Hours Descriptors Data Collection Data Products JHU Data Management Services 5 June 2014 17
Format Migration and Annotation ~9 Hours ~0 Hours M igr at An no ta te e http: //www. sigmaplot. com/products/sigmaplot-details. php JHU Data Management Services 5 June 2014 18
Uploading Collection JHU Data Management Services 5 June 2014 ~7 Hours ~6 Hours 19
Thanks! JHU Data Management Services http: //dmp. data. jhu. edu/ datamanagement@jhu. edu JHU Data Archive http: //archive. data. jhu. edu Jonathan Petters - jpetter 1@jhu. edu JHU Data Management Services 5 June 2014 20