This is Part III of a workshop presented by ICPSR at IASSIST 2011. This section focuses on data management including data management plans, secure computing environments, and restricted data contract management.

1. ICPSR AT 50:Facilitating Research and Data Sharing Part III: Data Management IASSIST Vancouver, BC May 31, 2011

2. Data Management begins at 11:45

3. Data Management Agenda Data Management Plans Computing & Data Sharing in Secure Environments Managing Restricted Contracts

4. The Statement Heard Round the Research World: The National Science Foundation has released a new requirement for proposal submissions regarding the management of data generated using NSF support. Starting in January, 2011, all proposals must include a data management plan (DMP). The plan should be short, no more than two pages, and will be submitted as a supplementary document. The plan will need to address two main topics: What data are generated by your research? What is your plan for managing the data?

5. Data Management in Demand ICPSR conducts webinars on data management plans: November 8, 2010: 134 attend January 12, 2011: 535 attend February 17, 2011: 71 attend

6. ICPSR’s DMP Web Site www.icpsr.umich.edu/ICPSR/dmp/

7. Guidelines for Download

8. ICPSR’s DMP Blog - FAQs http://datamanagementplans.blogspot.com/

9. ICPSR’s DMP Statistics January 2011: 3,984 views January – April 2011: 7,802 views Where are they coming from? 5,527 Direct (bookmarked, etc.) 3,370 from Google search 878 from NSF

10. Improving Data Management Potential increase in demand for data management services as a result of grant/contract requirements Increase in demand for processing, analysis, and distribution of sensitive data Resulted in improvements focused on secure computing and data sharing environments at ICPSR

11. Three Angles of Security Secure Ingest Secure Computing in the Cloud Secure Online Application & Tracking

12. ICPSRSecure Data Services We'd tell you more, but then we'd have to kill you.

14. Protects against accidental data leakage

15. Uses firewalls, virtualized workstations to access content

17. Protects against accidental data leakage

18. Uses firewalls, virtualized workstations to access content

21. Selected a strategy of investing in storage, and "renting" access and security servicesEMC NS 120 Network Attached Storage device University of Michigan "desktop virtualization" product, the Virtual Desktop Infrastructure (VDI) service University of Michigan "firewall virtualization" product, the Virtual Firewall service

23. Two NAS units (NS 120 model)

24. Private NAS - home to all secure data

25. Semi-Private NAS - home to all other content, such as web site content, downloadable files, etc

28. Information Technology Services is the provider

29. Virtualization as a Service (VaaS)

30. ICPSR was a pilot user

31. Enables access to content on the Private NAS via virtualized environment

32. Easier to update

33. Easier to secure

34. Enables more secure remote access

35. Uses the UMich Active Directory system for authentication, authorization, and accounting

38. New topology is highly segmented; seven VLANs

39. Physical systems - three VLANs

40. Public

41. Semi-Public

42. Private

43. Virtual systems - four VLANs

44. SDE

45. VDE

46. Summer Program virtual lab

49. Content exits via one of two mechanisms

50. turnover for content entering Archival Storage and/or Dissemination systems

51. data airlock for other stuff

52. Both exit points can be monitored, controlled, reviewed, audited, etc.

55. Highly suitable for data ordinarily shared via a restricted-use agreement

56. Alternative to shipping out sensitive data on removable media and hoping that nothing goes wrong

57. Does shift cost burden (virtual workstation, storage) and risk burden (data security) from data analyst to data provider

58. Who pays?

60. Restricted Use Contracting System (RCS) Purpose Enables data processors (internal) to set up contracts with restricted data with terms of use and contract behavior preferences Enables end-users to apply for restricted data online & track progress Enables ICPSR user support to manage contracts and track end-users

61. Overview of ICPSR’s RCS

62. Application Steps

63. 50 Years of Research Data Data Exploration Data Sharing Data Management

64. Presenter Contact Information Peter Granda – peterg@umich.edu Linda Detterman – lindamd@umich.edu Sanda Ionescu – sandai@umich.edu Elizabeth Moss – eammoss@umich.edu Steve Burling – srb@umich.edu

65. Enjoy Vancouver & IASSIST 2011!