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User Working Group 2013. Data Management System – Status 12 March 2013 http://podaac.jpl.nasa.gov. PO.DAAC Functional Areas. Data Access. Data Management & Stewardship. Provide intuitive services to discover, select, extract and utilize data .

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User working group 2013

User Working Group 2013

Data Management System – Status

12 March 2013

http://podaac.jpl.nasa.gov


Po daac functional areas
PO.DAAC Functional Areas

Data Access

Data Management & Stewardship

Provide intuitive services to discover, select, extract and utilize data

Preserve NASA’s data for the benefit of future generations

Science Information Services

Provide a knowledgebase to help a broad usercommunity understand and interpret satellite ocean data and related information


Po daac functional areas1
PO.DAAC Functional Areas

Data Access

Data Management & Stewardship

Provide intuitive services to discover, select, extract and utilize data

Preserve NASA’s data for the benefit of future generations

Science Information Services

Provide a knowledgebase to help a broad usercommunity understand and interpret satellite ocean data and related information


High level functions
High-Level Functions

Data

Providers

Information Providers

Consumers

Information In

Data In

Information Out

Data Out

High-Level Access Tools

Ingest

Web Portal

Visualization

Web Services & Publishing

Direct Data Access

Inventory

Archive


High level functions1
High-Level Functions

Data

Providers

Information Providers

Consumers

Information In

Data In

Information Out

Data Out

High-Level Access Tools

Ingest

Web Portal

Visualization

Web Services & Publishing

Direct Data Access

Inventory

Archive


Applicable 2012 uwg recommendations
Applicable 2012 UWG Recommendations

  • Recommendation 4 – Annualdataset gap analysis and prioritization

    Closed. (Just noting that the DGAP adoption process is referenced in the DSLP.)

  • Recommendation 6 – Create public webpage that documents PO.DAAC’s best practices:

    Open. (The Dataset Lifecycle Policy captures PO.DAAC best practices, but we have not yet gone public.)

  • Recommendation 7 – Creation of a dataset lifecycle policy:

    Closed. (Done, being applied to every new dataset, and refining / improving it as we uncover lessons-learned.)

  • Recommendation 8– Work with GHRSST on metadata practices:

    Closed. (Just noting that GHRSST is aware of our Dataset Lifecycle Policy, and is incorporating its basic constructs into their own approach.)


Outline
Outline

Purpose of this Presentation: Status the Data Management System:

Business processes, and

IT infrastructure

Presentation Outline:

Data Management System = BP + IT

Catching up

IT Infrastructure Status

Business Process Status


Bp it
BP + IT

PO.DAAC Data Management System

Business Processes

IT Infrastructure

=

+

IT Infrastructure

Includes hardware, software, networks, interfaces, etc.

Examples:

  • Site Crawler capability

  • Data Handler capability

  • Data Reader capability

  • Data Dictionary implementation

  • Data Catalog capability

  • Data Archive capability

  • Server Infrastructure

  • Network Infrastructure

  • Storage Infrastructure

Business Processes

Includes policies, process descriptions, templates, procedures, etc.

Examples:

Overarching Dataset Lifecycle Policy

Memorandum of Understanding template

Data Management Plan template

Database Audit procedure

File Audit procedure

Data Acceptance Policy

Data Dictionary management process

Dataset Types definitions

Remote Dataset Policy/Approach


System integration business process and it services
System Integration:Business Process and IT Services

BP

IT

BP

IT

IT

IT

Maturity

BP

IT

IT

BP

BP

BP

2009 2010 2011 2012 2013 2014 2015


Infrastructure
Infrastructure

System Deliveries

Already put significant effort into IT

Solid baseline established in the first evolution

Major pieces are in place and working smoothly

That stability provides opportunities

Reaping the benefits of a solid foundation


Business practices
Business Practices

IT is stabilized, so…

Turning attention to business practices / processes

Began with the Dataset Lifecycle Policy

Working on tallying a list of all needed processes


Data management system business processes bps
Data Management System Business Processes (BPs)

2012

2013

2014

2015

SDLC

A&C 1

Remote

DSLP 1

UseCase

DSLP 2

Templates

DOIs

Dictionary

Types

DB Audit

A&C 2

File Audit


Data management system business processes bps1
Data Management System Business Processes (BPs)

2012

2013

2014

2015

SDLC

A&C 1

Remote

DSLP 1

UseCase

DSLP 2

Templates

DOIs

Dictionary

Types

DB Audit

A&C 2

File Audit

Note: Green = Defined processes. Orange = processes being actively worked.


Bp dataset lifecycle policy
BP: Dataset Lifecycle Policy

controlled by…

assigned to…

Documents

Templates

Dataset Lifecycle Policy is written and active

Worked via iterative discussions

Document driven

Consistent approach + best practices

Follow the template, follow the policy.

A living document

Best Practices


Lifecycle phases and documents
Lifecycle Phases and Documents

4

6

7

8

Dataset Identification

Dataset Approval

Prepare the System

Draft

On New Version

Integration

Draft

Draft

Operations

On Deprecation

Retirement


Bp data types
BP: Data Types

Next BP we’re tackling is data types

Came up in discussions of DSLP

Clear we have a disconnect in both definition and flow


Data types
Data Types

*Other miscellaneous types exist, for example: Dormant and Simulated


Current type progression
Current Type Progression

Shared

Open

Retired

Mission Datasets

Controlled

Community Datasets

Preview

Retired

Open


Data types1
Data Types

Types and Lifecycle Policy not aligned

Some types set visibility, others indicate progress

Flow / progression doesn’t align

Recognize there’s a problem, so working it

Beginning with Remote