1. U.S. Department of the Interior U.S. Geological Survey August 24-25, 2011 Data Management Best Practices: FY11 Report

2. Outline  Chartered  Participants  Work Approach  Work Item  Output  Plans

3. Chartered The Best Practices Sub-team was formed in early 2011 to compile a suite of best practices, lessons learned, and learning opportunities, regarding data management. The goal is to organize this information and make it available through a website or portal.

4. Participants  Brian Buczkowski  Tom Burley  Jennifer Carlino  Robin Fegeas  Dave Govoni  Heather Henkel  Sally Holl  Donn Holmes  Richard Huffine  Viv Hutchison  Joseph Kalfsbeek  Tim Kern  Tim Mancuso  Elizabeth Martin  Scott McEwen  Ellyn Montgomery  Cassandra Ladino  Daniel Sandhaus  Steve Tessler  Jessica Thompson  Lisa Zolly  John Faundeen

5. Participants

6. Work Approach  Monthly Webex Sessions  March 9  April 6  May 4  June 1  July 6  August 3  Workshop  July 26-27 Reston

7. Work Item  March Meeting Discussion …  Develop/adopt a data lifecycle model that accurately reflects how USGS science data does or should travel through its life.  Foundational for Sub-Team  Goals: Simplicity, Intuitive, Identify Roles “As the government looks to its plan for open government through the development of tools such as Data.gov, it is important to integrate these tools into the overall federal architecture and project lifecycle.” Harnessing the Power of Digital Data: Taking the Next Step. Scientific Data Management (SDM) for Government Agencies: report from the Workshop to Improve SDM held June 29 – July 1, 2010, Washington, DC.

8. Work Item: Data Life Cycle Model  “Literature Search”  Compilation  Review  NSF Workshop  USGS Workshop

9. Output PLAN ACQUIRE & PROCESS ANALYZE PRESERVE PUBLISH / SHARE

10. Output: Plan  Business Requirements  Data Management Plan  Metadata Inception  Propose  Documentation

11. Output: Acquire & Process  Ingest  Gather  Collection  Acquire  Discover  Evaluate  Assemble  Get  Generate  Create  Record  Monitor  Observe  Measure  QA/QC  Appraise  Transcribe  Organize  Process  Prepare  Integrate  QA/QC  Normalize  Transform  Evaluate  Transcribe  Format  Resample  Select  Sample  Organize  Package  Combine  Improve  Enhance  Structure

12. Output: Analyze  Analyze  Experiment  Interpret  Model  Test  Visualize  Appraise  Evaluate  Review  Conclude  Deduce  Question  Normalize  Synthesis  Discovery  Knowledge Transfer  Add Value  Understand  Enhance

13. Output: Preserve  Preserve  Transform  Transcribe  Migrate  Save  Protect  Store  Archive  Manage  Replicate  Package  Curate  Transfer  Rights Management  Control  Planning  Embargo  Rescue  Appraise  Select  Repository  Backup  Deposit

14. Output: Publish/Share  Share  Release  Submit  Knowledge Transfer  Prepare  Write  Author  Produce  Disseminate  Create  Distribute  Transfer  Present  Communicate  Upload  Package  Data Deposit  Deliver  Embargo  Web Serve  Select Repository  Access  Produce Share Embargo Release Disseminate Distribute Share Web Serve Select Repository Replicate Submit Discover Access Publish

15. Output  “The business function that develops and executes plans, policies, practices and projects that acquire, control, protect, deliver and enhance the value of data and information.” Source: DAMA Dictionary of Data Management, 1 st Ed.  Plan was to use as is or modify and use bullets to explain the key words.

16. Output  Data Blast “Write-On” Poster

17. Plans  Digest Data Blast Comments  Receive CDI Sponsor Feedback  Assign Roles to Model  Finalize Graphic  Establish Science Review  FY12 Validation  Beginning of Outreach Effort  Communicate Final Model to USGS  Start Aligning Best Practices to Model  Determine Gaps