1 Implementing Portal Technology To Support Data/Information Management - Portal Prototype Dashboard...

1

Implementing Portal Technology To Support Data/Information

Management- Portal Prototype Dashboard for

Fisheries Information System (FIS)

November 3, 2005

NOAATech 2006November 1-3, 2005

Silver Spring, MD

Tina Chang, Information Science Division, F/ST

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

Project Background

What is FIS?

• Congressionally Mandated

• Data Integration and Harmonization

• Improve Fisheries Information and standards

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

Project Objectives

• Understand goals

• Utilize the best technologies available

• Provide a comprehensive and information ready environment

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

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

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

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

Oracle Portal Architecture

11

Oracle Portal Architecture (cont.)

12

Portal Components

users

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

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

FIS Portal Prototype

•

16

FIS Portal Prototype (cont.)

•

17

FIS Portal Prototype (cont.)

18

FIS Portal Prototype (cont.)

19

FIS Portal Prototype (cont.)

20

FIS Portal Prototype (cont.)

21

FIS Portal Prototype (cont.)

22

FIS Portal Prototype (cont.)

23

FIS Portal Prototype (cont.)

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

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

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

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

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

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

Contact Information

NOAA Fisheries, Science Information Division

Tina.chang@noaa.gov, (301)713-2328Jaya.neti@noaa.gov, (301)713-2328

THANKS FOR COMING!

31

Questions

?

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

Nona's Project Management Structure

How the Investment will be Managed

Undersecretary for Atmosphere and Oceans

DMITData Management Integration

Team

NOSCNOAA Observing System

Council (NOAA CIO Member)

DMCNOAA 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

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