1. 1 Implementing Portal Technology To Support Data/Information Management - Portal Prototype Dashboard for Fisheries Information System (FIS) November 3, 2005 NOAATech 2006 November 1-3, 2005 Silver Spring, MD Tina Chang, Information Science Division, F/ST

2. 2 Topics Project Background Project Objectives What is a Portal? Portal Components Portal Architecture Features Integration With Portal FIS Data Management Needs FIS Portal Prototype Comprehensive Information Source Expected Outcomes Conclusion

3. 3 Project Background What is FIS? Congressionally Mandated Data Integration and Harmonization Improve Fisheries Information and standards

4. 4 Project Background (cont.) What needs to be done? - Maintain adequate information to manage fisheries regionally and provide summarized data on a national level - Answer who, what, where, when, why and how about participation in fisheries across regions using nationally established reporting standards

5. 5 Project Objectives Understand goals Utilize the best technologies available Provide a comprehensive and information ready environment

6. 6 What Is Portal? “Although portals are the most-desired user interface in IT, the concept of portals is one of the most misunderstood by enterprise customers and the most abused by vendors.” – Gene Phifer, Gartner Inc. Note: IGG-01092002-02

7. 7 What Is Portal (cont.)? Framework that provides - Distributed access - Cross-platform usability - Personalization - Management - Security features Composite application Collaboration, efficient, and easy access capabilities

8. 8 Portal Features (limited list) Categorization of content Content search & indexing Content management & aggregation Personalization Robust application integration Development tools Single Sign-On Security Browser based Integration of data from many sources Fast and scaleable

9. 9 Integrating With Other Tools Portal integrates seamlessly variety tools - Business intelligence tools - Internet documentation search tools - Java development tools - Other external applications Easy to share distributed applications Strong support for industry standard web and distributed application technologies through the Portlet Development Kit (PDK-Java)

10. 10 Oracle Portal Architecture

11. 11 Oracle Portal Architecture (cont.)

12. 12 Portal Components users

13. 13 Fisheries Data/Information Management Needs Collaborating with NOAA Fisheries Science Centers, Regions, and partners No sophisticated data management across NOAA Fisheries Many regional offices have well developed data management programs that can be shared Currently no comprehensive data inventory system for people to understand of all Fisheries data and their existence

14. 14 Fisheries Data Management Needs (cont.) Lack of consistent standards, data and information processes, procedures and policies Timely and accurate Fisheries Information is not readily available to management and the public Reponses to data calls take too long and are not always accurate

15. 15 FIS Portal Prototype

16. 16 FIS Portal Prototype (cont.)

17. 17 FIS Portal Prototype (cont.)

18. 18 FIS Portal Prototype (cont.)

19. 19 FIS Portal Prototype (cont.)

20. 20 FIS Portal Prototype (cont.)

21. 21 FIS Portal Prototype (cont.)

22. 22 FIS Portal Prototype (cont.)

23. 23 FIS Portal Prototype (cont.)

24. 24 Benefit Of Portal Integrated presentation of information from disparate systems and locations Content ownership is preserved Multiple levels of authorization allows decentralized responsibility for data publishing Customization from both the development and end- user perspectives Information Sharing from a comprehensive data and information management environment

25. 25 Benefit Of Portal (cont.) Portal enforces data management through program management definitions, policies, and standards Portal can provide an information-rich environment for all users including NOAA employees, the general public, managers, and anyone who is interested in fisheries information Cost effective

26. 26 Comprehensive Information Sources Once completed, FIS portal will contain: Recreational and commercial fisheries data from both state and federal sources including biological, economic, sociocultural, and ecological information. Data source will also include stock assessments, logbooks, observer data, and others Integration with FIS tools such as InPort, the FIS metadata catalog Text Search application Linkage to other data and external system sources such as IOOS, GEOS, and so on.

27. 27 Other Expected Outcomes Summarized data from a variety of state and federal sources sorted by species, fishery, or regions at the national level  Published and shared information statistics, research, metadata, and other documentation  Fish Permits applied or renewed through single point of entry Developed standards and policies to support System Interoperability Timely Information access and dissemination

28. 28 Conclusion The goal for data and information management is to better understand our living marine resources and to share these information to support management decisions Portal is a tool which enables us to apply data and information management best practices by defining our organizational paradigm and environment to support scientific application and research development needs. Portal is one of tools that can support the Information management. There are other tools available too.

29. 29 Acknowledgement Jaya Neti – Web master, Science Information Division, F/ST Doug Turnbull – Data Architect, Science Information Division, F/ST Navid Rahimi – System Administrator, Science Information Division, F/ST Rosemary Kosaka – Economics & Social Analysis Division, F/ST And anyone who is involved in building these applications and prototypes

30. 30 Contact Information NOAA Fisheries, Science Information Division Tina.chang@noaa.govTina.chang@noaa.gov, (301)713-2328 Jaya.neti@noaa.govJaya.neti@noaa.gov, (301)713-2328 THANKS FOR COMING!

31. 31 Questions ?

32. 32 Big Picture - Data Management in NOAA And Fisheries Participation Focused activities on Data Integration, Data Interoperability, assembling many loose data sources into a “System of Systems”. Emphasized data archive, information dissemination, efficiency, data sharing, and near real time data accessibility Related Activities: –IOOS Data Management and Communications (DMAC) –GEO IDE –NOAA NOSC and Data Management (DMC) –NOAA Data Management and Integration Team (DMIT)

33. 33 Nona's Project Management Structure How the Investment will be Managed Undersecretary for Atmosphere and Oceans DMIT Data Management Integration Team NOSC NOAA Observing System Council (NOAA CIO Member) DMC NOAA Data Management Committee (CIO Council Co-Chair) NOAA Goal Theme: Weather & Water NOAA Goal Theme: Ecosystems NOAA Goal Theme: Commerce & Transportation NOAA Goal Theme: Climate

34. 34 Background (cont.) Current FIS Program Activities: Program Governance - Established Program Management Team (PMT) - Established Professional Specialty Groups (PSG) Developed FIS Program Management Plan Defined program portfolios and objectives Developed Fisheries metadata catalog system and is ready for implementation Built infrastructure for the program Identified data and information management components for the program Started one of the highest priority project – Fisheries Permits Issuance and Policy project