user working group 2013 data management system – status 12 march 2013

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  • Slide 1
  • User Working Group 2013 Data Management System Status 12 March 2013 http://podaac.jpl.nasa.gov
  • Slide 2
  • Data Management & Stewardship Preserve NASAs data for the benefit of future generations Data Access Provide intuitive services to discover, select, extract and utilize data Science Information Services Provide a knowledgebase to help a broad user community understand and interpret satellite ocean data and related information PO.DAAC Functional Areas
  • Slide 3
  • Data Access Provide intuitive services to discover, select, extract and utilize data Science Information Services Provide a knowledgebase to help a broad user community understand and interpret satellite ocean data and related information PO.DAAC Functional Areas Data Management & Stewardship Preserve NASAs data for the benefit of future generations
  • Slide 4
  • High-Level Functions Consumers Archive Ingest Web Services & Publishing Direct Data Access High-Level Access Tools Web Portal Visualization Inventory Information Providers Data In Information In Data Out Information Out Data Providers Data Providers
  • Slide 5
  • High-Level Functions Consumers Archive Ingest Web Services & Publishing Direct Data Access High-Level Access Tools Web Portal Visualization Inventory Information Providers Data In Information In Data Out Information Out Data Providers Data Providers
  • Slide 6
  • Recommendation 4 Annual dataset 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.DAACs 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.) Applicable 2012 UWG Recommendations
  • Slide 7
  • 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 Outline
  • Slide 8
  • 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 BP + IT 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 PO.DAAC Data Management System Business Processes IT Infrastructur e =+
  • Slide 9
  • System Integration: Business Process and IT Services 2009 2010 2011 2012 2013 2014 2015 BPBP ITIT BPBP ITIT BPBP ITIT BPBP ITIT BPBP ITIT BPBP ITIT Maturity
  • Slide 10
  • 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 Infrastructure System Deliveries
  • Slide 11
  • 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 Business Practices
  • Slide 12
  • SDLC RemoteA&C 1 DB Audit DSLP 1 DSLP 2 Templates Dictionary UseCase A&C 2 Types DOIs Data Management System Business Processes (BPs) Overarching Dataset Lifecycle PolicyMemorandum of Understanding (template) Use Case / User Story ProcessDataset Gap Analysis and Prioritization DOI ProcessIntegrated Schedule Development Handling Remote datasetsData Management Plan (template) Data Dictionary ManagementInterface Control Document (template) Data Types (definition and flow)Operational Readiness Checklist (template) Database AuditingUser Guide (template) Assessment & CharacterizationSystem Impact Assessment (template) File AuditingReadMe (template) Standard Documentation ProcessRetirement Process and Plan template File Audit 2012 2013 2015 2014
  • Slide 13
  • SDLC RemoteA&C 1 DB Audit DSLP 1 DSLP 2 Templates Dictionary UseCase A&C 2 Types DOIs Note: Green = Defined processes. Orange = processes being actively worked. Data Management System Business Processes (BPs) Overarching Dataset Lifecycle PolicyMemorandum of Understanding (template) Use Case / User Story ProcessDataset Gap Analysis and Prioritization DOI ProcessIntegrated Schedule Development Handling Remote datasetsData Management Plan (template) Data Dictionary ManagementInterface Control Document (template) Data Types (definition and flow)Operational Readiness Checklist (template) Database AuditingUser Guide (template) Assessment & CharacterizationSystem Impact Assessment (template) File AuditingReadMe (template) Standard Documentation ProcessRetirement Process and Plan template File Audit 2012 2013 2015 2014
  • Slide 14
  • 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 BP: Dataset Lifecycle Policy Best Practices Documents Templates assigned to controlled by
  • Slide 15
  • Lifecycle Phases and Documents Dataset Identification Prepare the System Integration Operations Retirement On New Version On Deprecation Dataset Approval DGA P ISSIAMOUICDDMPORCUGRP Draft 4 4 7 7 8 8 6 6
  • Slide 16
  • Next BP were tackling is data types Came up in discussions of DSLP Clear we have a disconnect in both definition and flow BP: Data Types
  • Slide 17
  • Data Types Main Types* DefinitionSearchable?Access PreviewGive the public a sneak preview. Datasets should not be in this category beyond 18 months. WARNING file should be posted. YesAnonymous OpenFully supported datasets with unrestricted community access.YesAnonymous RetiredDatasets that have been superseded, are obsolete or have an error. Per UWG recommendation, these data sets are retrievable but come with a health warning. Varies by datasetAnonymous ReducedReduced or value-added data sets created by a PO.DAAC tool.Varies by datasetAnonymous SharedTemporary space for sharing non-operational datasets between science team members (e.g., vetting datasets). NoPassword ControlledITAR or mission sensitive data sets.YesPassword *Other miscellaneous types exist, for example: Dormant and Simulated
  • Slide 18
  • Current Type Progression Mission Datasets Shared Open Retired Controlled Community Datasets Preview Open Retired
  • Slide 19
  • Types and Lifecycle Policy not aligned Some types set visibility, others indicate progress Flow / progression doesnt align Recognize theres a problem, so working it Beginning with Remote Data Types
  • Slide 20
  • End of Presentation