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01101100

01101100. 10101101. 11101100. (AED, EMAP). 01101100. 10011011. 11101100. 10101101. (AED, EMAP). 11101100. 10101101. 01101100. 10101101. 01101100. 11101100. (AED, EMAP). 10101101. 01101100. 10101101. 11101100. 01101100. 11101100. (AED, EMAP). (AED, EMAP).

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01101100

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  1. 01101100 10101101 11101100 (AED, EMAP)

  2. 01101100 10011011 11101100 10101101 (AED, EMAP)

  3. 11101100 10101101 01101100 10101101 01101100 11101100 (AED, EMAP)

  4. 10101101 01101100 10101101 11101100 01101100 11101100 (AED, EMAP)

  5. (AED, EMAP)

  6. Data Policy and Information Management Planning Linda Harwell US EPA/ORD/NHEERL/GED

  7. “The overall purpose of these policy statements is to facilitate full and open access and use with confidence, both now and in the future, of the data and information . . .” (Hale, et. al., June, 1999)

  8. Objectives Piecing Together Your Plan

  9. Key Points • What are the policy/plan objectives? • How will the data policy support program objectives? • What “type” of data will be contributed? • Who is the most likely audience? • What are the partnership roles and responsibilities?

  10. EMAP IM Plan Objectives • Providing a data directory so that data of interest can be identified • Providing access to data and metadata files • Assisting with database development and/or administration • Providing support to EMAP working groups for planning, research, monitoring, and analysis efforts so that differences in information management environments of the groups are minimized • Ensuring a distributed data structure, allowing responsibility for the data to reside with the owners • Maximizing interoperability with other environmental monitoring data systems in accordance with CENR objectives

  11. Supporting Program Objectives . . . . . . Is vital to the “health” of your IM program

  12. Data Expectations • Data sets • Documentation of data sets • Statistical methods • Methodology for evaluating data • Reports • Spatial data • Other derived products • Data ownership/stewardship

  13. Target Audience • Identify the primary user • Use “simple” language • Plan for training (i.e. workshops) • Provide guidance • Understand the user’s IM culture

  14. Role and Responsibilities • Outline • What needs to be done • Who will do it • Provide reasonable expectations for all partners Clear definitions help minimize misunderstandings and delays

  15. We’re supposed to enter the field data!? What Role Are You Willing to Play? Just a little inconsistency here * Two separate data fields

  16. Go Ahead and Spell It Out

  17. Objectives Technical Specifications Piecing Together Your Plan

  18. Key Points • How should the data flow? • What hardware/software should be used? • What tools should be made available to partners? • What are resource needs?

  19. EMAP IM Information Flow

  20. Data Relationships

  21. EMAP IM Distributed System Components

  22. The Nuts and Bolts

  23. Other Considerations • Software limitations • Email attachments • Available software • Internet protocols and firewalls • Network Contraints • T1 vs. frational • Computers and operating systems • Current and future expertise needs

  24. Archive and Recovery Plan EPA/NHEERL/RTP National Archives Records Admin (EPA Directive 2100) Data Sources EMAP IM Redundant Backup

  25. Objectives Technical Specifications Implementation Piecing Together Your Plan

  26. Recommendations and Guidelines • Quality assurance/control • Preparation and delivery of data • Data distribution for public use Providing “tools” help ensure you get what you need -- when you need it

  27. QA Assessment Example Completeness Check Water Quality Visits Survey Expected # of Samples Trawl Visits Sediment Collection Visits Group 1 Group 2 Group 3 Intended Actual

  28. QA Assessment Example Reasonable Outliers

  29. QA Assessment Example Assessing Lab QA

  30. (NCADC) Data Analysis Metadata Aggregation Data Aggregation Data Storage (State) Data Capture Navigation and Info Retrieval Metadata Collection Günther, 1998 “Raw” Vs. “Synthesized” Data

  31. Transactional Vs. Reduced

  32. One Big File Vs. Subsets of Data Chemistry Table Sediment Chem Tissue Chem Water Chem Sediment Comp Quality Assurance Or Sediment Toxicity Results Table Sediment Toxicity Quality Assurance Controls Or

  33. Required Optional Data Transfer Format Purpose

  34. Standards

  35. Public Data Distribution

  36. Data View Options

  37. Data View Options

  38. Tab-delimited ASCII Query Result Data Download Format

  39. Data Sharing

  40. HA ! HA ! HA !

  41. Analysis Tips –Making Friends and Influencing People • What was the primary study question? • What are the recommended methods of analyses? • How else can these data be used?

  42. Joys of Metadata

  43. EML FGDC NBII Metadata Formats

  44. Metadata Tools

  45. Metadata Consultants

  46. EMAP Example

  47. Data Directory

  48. Data Catalog

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