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HDF, EOSDIS, NASA ESE Data Standards

Explore the latest updates on ESDIS status, HDF maintenance, HDF-EOS integration, lessons learned, and the 2004 EOSDIS Satisfaction Survey results.

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HDF, EOSDIS, NASA ESE Data Standards

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  1. HDF, EOSDIS, NASA ESE Data Standards Richard Ullman

  2. Agenda • ESDIS Status wrt HDF • EOSDIS (American Customer Satisfaction Index) • NASA Earth Science Standards Endorsement Process

  3. ESDIS Status • Launch of Aura (July 25) marks end of development phase of the EOSDIS Core System (ECS). • System is now in maintenance. Capability refinements are under the “Synergy” program. • Data enters are now running “Synergy 3” release. Will be transitioning to “Synergy 4” over the next six months. • Maintenance of HDF for EOS includes two components • Support of NCSA’s HDF group through a cooperative agreement. • Support of HDF-EOS through ECS maintenance contract • Other ESDIS project sponsored HDF-related work will be phased out near the end of calendar year 2004. • http://hdfeos.gsfc.nasa.gov website updates • “SESDA” hdf data usability task • Coordination, outreach and test bed development for HDF integration through CEOS, OGC, ISO organizations.

  4. HDF-EOS • A profile, convention, convenience API, etc for NASA’s Earth Observation System standard data products. • Defines structures for Point, Swath, Grid (Atmospheric Profile, Zonal Table) • Defines specific location for product metadata • ODL encoded metadata compliant with FGDC content standards. • Maintained by a by L3-Communications under subcontract to Raytheon’s ECS Maintenance and Development contract. • Next release expected Dec. 2004 • HDF5-1.6.3 • SZIP 1.2 • New inquiry functions • CEA (Cylindrical Equal Area grid projection • Improved performance in read/write functions 

  5. HDF in NASA Earth Remote Sensing • HDF-EOS is format for EOS Standard Products • Landsat 7 (ETM+) • Terra (CERES, MISR, MODIS, ASTER, MOPITT) • Meteor-3M (SAGE III) • Aqua (AIRS, AMSU-A, AMSR-E, CERES, MODIS) • Aura(MLS, TES, HIRDLS, OMI • HDF is used by other EOS missions • OrbView 2 (SeaWIFS) • TRMM (CERES, VIRS, TMI, PR) • Quickscat (SeaWinds) • EO-1 (Hyperion, ALI) • ICESat (GLAS) • Calypso • Over 3 petabytes of EOSDIS archived data

  6. HDF-EOS Lessons • Definition of a set of data structures as a profile is not sufficient to guarantee interoperability. • Also need definition of content, especially metadata - this is increasingly difficult the wider the disciplines covered. • See AURA DSWG standards and NetCDF CF as examples. • Also need conformance measures - no spec is so clear that it cannot be misinterpreted. • Even during life of mission, there must be allowance for technology refresh. • Technology advances affect user expectations. • Well understood concept for hardware - traditionally less recognized for science software and data products. • See OAIS

  7. Discussion topics today • Ask the experts • A growing number of software products depend upon the HDF libraries. Are there suggestions for how to better coordinate HDF library releases. • Questions from participants. • HDF-GEO? • Last workshop there was strong opinion expressed that there should be some kind of bridge among HDF geographic and geophysical profiles. • Can we develop a better sense of what such and “HDF-GEO” might be? • Is this the list? HDF-EOS, NetCDF API, HDF-NPOESS • What are reasonable expectations for this effort?

  8. From ESDSWG meeting last week: Why Use a Standard? • Good documentation • Other projects have reviewed it and found it useful • Reusable software sometimes available • Potential users can see that standard and software works • Not management pressure or peer pressure – just more practical

  9. 2004 EOSDIS Satisfaction Survey

  10. 2004 EOSDIS Satisfaction Survey • A measure of customer satisfaction • ESISS and ESSAAC have recommended that NASA focus on measuring the “impact” of our systems and services rather than just the “output” • In 2004, NASA used a comprehensive survey to determine the American Customer Satisfaction Index (ACSI) for EOSDIS products and services. • ACSI provides a normalized measure of customer satisfaction that allows benchmarking against similar companies and industries. • 2004 survey results show that customer satisfaction with EOSDIS compares very favorably with both industry and other government agencies.

  11. Snapshot of the American Customer Satisfaction Index (ACSI) • The # 1 national indicator of customer satisfaction today • Compiled by the National Quality Research Institute at the University of Michigan using methodology licensed from the Claes Fornell International (CFI) Group • Measures 40 industries and 200 organizations covering 75% of the U.S. Economy • Over 70 U.S. Federal Government agencies have used ACSI to measure more than 120 programs/services • CFI’s Advanced methodology quantifiably measures and links satisfaction levels to performance and prioritizes actions for improvement

  12. Survey Background • EOSDIS survey was performed by CFI Group through a contract with the Federal Consulting Group (Department of Treasury). • Survey questions developed by the DAAC User Services Working Group were tailored to fit the CFI methodology • ESDIS provided the CFI Group with 33,251 email addresses from users who had used NASA/EOSDIS products • CFI sent invitations to participate in an online survey to 9,999 randomly selected users • 1,056 responses were completed • 1,016 surveys were used in the analysis (250 responses were needed for statistically meaningful response).

  13. EOSDIS Results • The Customer Satisfaction Index for NASA EOSDIS is… • The Customer Satisfaction Index score is derived from customer responses to three questions in the survey: • How satisfied are you overall with the products and services provided by the Data Center (79)? • To what extent have the data, products and services provided by the Data Center fallen short of or exceeded your expectations (73)? • How well does the Data Center compare with an ideal provider of scientific data, products and services (71)? • This score is four points higher than the 2003 American Customer Satisfaction Index for the Federal Government overall (71). * The confidence interval for ACSI is +/-1.1 for the aggregate at the 95% confidence level. 75* NASA EOSDIS Aggregate Segment

  14. Score ComparisonCurrent Location 74 ACSI 76 88 Customer Support 82 85 Delivery 83 USA (n=478) 72 Product Selection Outside and Order the USA (n=577) 73 69 Product Search 71 67 Product Quality 69 34% Complaints 31%

  15. Customer Support - Score 84, Impact: 1.0 Customer Support 84 CFI considers EOSDIS to be “World Class” in the area of customer support. Professionalism 87 Technical knowledge 85 Accuracy of information provided 85 Helpfulness in selecting/finding data or 84 products Helpfulness in correcting a problem 83 Timeliness of response 82

  16. In what format were data or products provided? HDF-EOS 49% HDF 39% NetCDF 5% Binary 14% ASCII 12% GeoTIFF 19% Other 7% Product Quality 68 Ease of using the data product in the 69 delivered format Clarity of data product 67 Was documentation… Delivered with the data 44% Pointed to (on a website) 41% Not available 15% documentation Thoroughness of data product 68 documentation Product Quality - Score 68, Impact: 0.9

  17. Analysis of Results • Product quality is the lowest scoring component (68), and has a relatively high impact (0.9). • All attributes in this area received similar ratings • At 84 customer support scores well, and is also high impact (1.0). • There is a significant difference in customer support ratings given by customers within the U.S. (88) compared to those outside the U.S. (82). • The components product search, product selection and order are highly correlated. • Recent customers are more satisfied, but are also reporting more problems. • Percentage of customer complaints is fairly high (32%) when compared to the federal government overall (12%). • Customers may not be calling to complain about a problem, but rather to seek assistance in solving the problem. • 90% of respondents who answered the customer complaint questions gave user services’ complaint handling a rating of “6” or above.

  18. CFI’s Recommendations for Improving ACSI • Focus on Product Quality: • Review the type of data product documentation available with each product. Work to improve the clarity and thoroughness of the documentation. • Assess the various data formats and work to improve the usability of each. • Offer a wider variety of data formats. • Review the Product Search and Product Selection and Order scores to determine how best to help customers find the data they need: • Due to high correlation, improvements in one area will likely result in improvements in the other. • Simplify the search process; make data products more apparent. • Improve data product descriptions.

  19. Product Format Ease of Use Comparison

  20. NASA’s Earth Science Data SystemsStandards Process

  21. Insights • Interoperability does not require homogeneous systems, but rather coordination at the interfaces. • Management can judge success based upon program goals rather than dictate solutions. • example: degree of interoperability rather than use of particular data format. • Communities of practice have solutions. • Published practices that demonstrate benefit can grow … • successful practice in specific community • broader community adoption • community-recognized “standards”

  22. The ESDSWG Standards Process • Modeled on Internet Engineering Task Force “RFC” process and tailored to meet NASA’s circumstances. The standards process provides: • Registers community practice for NASA • NASA Earth science data management can rely on standards to achieve highest priority interoperability • Encourages consensus within communities • Science investigators are assured that standards contribute to science success in their discipline. • Grows use of common practices among related activities • Discipline communities benefit from the expertise gained by others • Documents data systems practices for use by external communities. • Lowers barriers to entry and use of NASA data.

  23. Standards Process Group Strategy • Adopt standards at the interfaces, appropriate to given science and drawn from successful practice. • Find specifications with a potentially wide appeal • Draw attention to a much broader audience • Monitor use, promote what works well • Result : Accelerate the evolution and adoption • Preferred source of RFC is community nomination. • Possible to direct creation of RFC in response to identified needs. • Consequence of endorsement • Future NASA data systems component proposals will be judged partly on how well they interoperate using community-identified practices or else justify why departure from community has greater benefit.

  24. Initial Screening • Initial review of the RFC • Provide RFC submission support • Form TWG; set schedule Proposed STD Draft STD STD RFC Community Community Community Community Core Core Core Core • Review of Implementation • Community review and input • Evaluation and recommendation • Review of Operation • Community review and input • Evaluation and recommendation Three Step Standards Process

  25. SPG Review and Recommendation Stakeholders Evaluate Implementations TWG Evaluate Implementations and Community Response SPG Recommendation SPG Review

  26. What’s in the works • DAP 2 standard – used by many in the oceanographic community – basis for the DODS and OpenDAP servers. -- submitted in June as a “Community Standard” • “Request For Comments” on implementation experience distributed October 1, comments due November 12. • Precipitation Community – discussing potential science content standards being used to define level 2 & level 3 data • Self identified group of precipitation scientists have identified need and are proposing a draft. Are discussing at IPWG in Monterey. • “The community is establishing de facto standards in this area and that is the best way to deal with this.” • FGDC Vegetation Index standard – discussing with potential community members

  27. Ideas from the last ES-DSWG • GCMD DIF • GeoTIFF • NetCDF CF • OGC suite

  28. Community Leadership • Strong proposals will have: • Leadership to support and use standard • Potential for impact • Potential for approval • Simple standard is better • Potential for spillover to other communities • Successful RFCs will have: • At least two implementers • Demonstrated operational benefit • Leadership in generating the RFC • Community willing/able to review

  29. SPG Contacts • Earth Science Data Systems Standards Process Group • http://spg.gsfc.nasa.gov/spg • Chairs SPG • Richard Ullman richard.ullman@nasa.gov • Ming-Hsiang Tsou mtsou@mail.sdsu.edu

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