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The EAV/CR WebDB Toolkit: An open source application framework for building evolvable neuroscience databases Luis Marenco Center for Medical Informatics






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The EAV/CR WebDB Toolkit: An open source application framework for building evolvable neuroscience databases Luis Marenco Center for Medical Informatics Yale University School of Medicine 2004. Outline.
The EAV/CR WebDB Toolkit: An open source application framework for building evolvable neuroscience databases Luis Marenco Center for Medical Informatics

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Slide 1

The EAV/CR WebDB Toolkit: An open source application framework for building evolvable neuroscience databases

Luis Marenco

Center for Medical Informatics

Yale University School of Medicine

2004

Slide 2

Outline

  • Neuroscience knowledge data is characterized for being in constant evolution. An issue that affects traditional “waterfall” application design where relational database schemas are designed at-front with applications hard coded to them.

  • A particular approach to this problem will be reviewed in these topics:

    • Motivation: The SenseLab project

    • Background issues of traditional applications

    • Evolvable database applications goals

    • Possible solution scenarios

    • EAV/CR and derived methodologies

    • EAV/CR applications: SenseLab and NDG

    • EAV/CR Solution Framework (EAVCR WebDB Toolkit)

Slide 3

Motivation: The SenseLab Project

  • The SenseLab project is a ongoing effort to integrate multidisciplinary sensory data derived from the olfactory system.

  • This process involves the development of neuroinformatics databases and tools in support of this research.

  • SenseLab currently consists of the following Web-databases:

    • Neuronal research NeuronDB, ModelDB, and CellPropDB

    • Olfactory research Olfactory Receptors DB, OdorDB, and OdorMapDB

Slide 4

Background Issues: Traditional Databases

  • Traditional database applications are characterized with code entwined database schema elements.

  • The research of a not well understood process like olfaction involves constant variable revisions affecting the DB schema and derived code.

  • The implications of following this approach in SenseLab created:

    • Increased code complexity as new elements were added to the DB

    • Limited code reusability (code specific to every data category)

    • Lack of robust interoperability (schema dependency)

  • Changing knowledge embedded in schemas created:

    • Downtime and application breakdown

    • Interface redesign (User and Interoperability)

    • Introduction of code errors (when updating code)

    • Exponential maintenance burden (due to all of the above)

Slide 5

Background Issues: Traditional Databases (2)

  • Web-database applications additionally involve:

    • Data entry and security: Elaborate, expensive and with limited portability

    • Ad hoc searching mechanisms are difficult to standardize and expensive to maintain.

    • Hard-coded Interoperability can be cumbersome to adapt to new standardized formats.

  • At the database’s metadata level:

    • Built-in data dictionary lacks expressivity

    • Limited schema extensibility

    • Reduced data types

Slide 6

Evolvable Database Application Goals

  • PRIMARY

    • Create a programmatic approach capable to allow DB structural changes without disrupting the existing data and code

    • Minimize code–metadata dependency focusing on automated interface generation (human and automated agents)

    • Attempt to improve code simplification as project matures (Extreme programming principles)

  • SECONDARY

    • Facilitate system integration to a Web platform

    • Allow accessibility from common web browsers

    • Incorporate role-based security for public and private data

    • Create generic interfaces and formats for data exchange

    • Improve code reusability leveraging interfaces and formats

    • Foresee robust interoperability with extensible protocols

Slide 7

Some Possible Solution Scenarios

  • Object oriented or object relational databases: At the time Immature and unsupported *

  • Leveraging of other flexible application approaches (e.g.: Protégé): Lack of features (e.g.: non-distributed, or web-based)

  • Built a new “ground-up” solution to provide needed features:The EAV/CR Application Framework(Data storage + software practices)

Slide 8

EAV/CR Storage Approach

  • EAV/CR (Entity-Attribute-Value with Classes and Relationships)Is a data storage approach derived from EAV, a row based data modeling technique widely used in AI , Electronic Patient Record Systems, MS Windows Registry, and others.

  • EAV/CR uses a limited number of tables and constrains to represent any amount of tables, fields and cells from a RDB

Slide 9

EAV/CR Storage Approach

  • Conceptual

  • EAV/CR augments standard EAV by

    • Allowing unlimited categories grouping entities in Classes [C]

Slide 10

EAV/CR Storage Approach (2)

  • EAV/CR augments standard EAV by

    • Implementing strong data typing for values

    • Extending data types (computed attributes)

    • Allowing entity relationships [R] (inter-class and hierarchies)

    • Including implicit data and metadata versioning and timestamp

    • Including Web oriented features: Enriched web-oriented metadata to automate web-interface generation (Web forms, XML, …)

    • Facilitating ontological representation: Mapping standardized vocabulary and semantic relationships identifiers to data and metadata elements

    • Ability to create database “portals” to present different subsets of the data to users with a particular research focus

    • Centralized role-based security. Uses distributed administration model to minimize dedicated administration costs

    • Monitoring tools

Slide 11

EAV/CR derived methodologies

  • Expandable system architecture: Allows parallel processing by scaling-out. Parallel middle-tier servers connect to the same EAV/CR database preserving security, data and metadata concurrency

  • Delegated user profile management: Users are responsible of their own profiles, administrators provide access and restrictions to specific database resources. (Web portal model for data and metadata)

  • Distributed data: Shared Classes among databases allow tight data integration minimizing redundancy

Slide 12

EAV/CR derived methodologies (2)

  • Data Services: Creation of the EAV/CR Dataset Protocol (EDSP) . An InfoSet protocol that describes database “structural ontology”, metadata, and data in a simple XML format. (It brings the EAV/CR approach to the XML world).

  • The following processes depend on EDSP:

    • Data transference

    • Middle tier components

    • Automated Ad-hoc query interface generation

  • The use of EDSP as the “source” for these processes has improved software components stability and reusability

Slide 13

The EAV/CR Application Framework

  • Programming model

    • Database component programmer

    • Domain programmer

  • EAV/CR Framework Toolkit (version 1)

    • Database Component: Encapsulates EAV/CR logic presenting interfaces for domain programmers. Created in C# MS.NET

    • Plumbing code: Generic web scripts for metadata driven navigation and interface generation. ASP-VBScript migrated to C# MS.NET 2.0 (Visual Studio 2005)

      Domain programmers customize plumbing code to their research goals.

Slide 14

EAV/CR Summary

  • EAV/CR and Evolvability

    • High data integration

    • Flexibility in database schema evolution / maintenance

    • Code reuse and increased reliability

    • Extensible application architecture

  • Disadvantages

    • Querying complexity

    • Multi-parameterized queries performance penalty

    • Complex EAV/CR components programming

  • Future Directions

    • Improve disadvantages

    • Test bed to design evolvable interoperability mechanisms like next SOAP version WS-STAR (Microsoft, IBM, Oracle, etc)

Slide 15

Links / Team

  • SenseLab Project - http://senselab.med.yale.edu

  • SfN - Neuroscience Database Gateway - http://big.sfn.org/ndg

  • EAV/CR Web site / WebDB toolkit / EDSP protocol -http://ycmi.med.yale.edu/EAVCR

  • Team Members

  • Gordon Shepherd PI

  • Perry Miller Project PI

  • Michael Hines Project PI (ModelDB/Neuron design)

  • Luis Marenco System/DB design

  • Prakash Nadkarni System/DB design

  • Qin Zhang EAV/CR WebDB Toolkit developer

  • Chiquito Crasto OrDB/OdorDB – administrator / domain programmer

  • Tom Morse ModelDB/NeuronDB administrator / domain programmer

  • Nian Liu OdorMapDB – administrator / domain programmer

  • Follow - DEMO SLIDES

Slide 16

Centralized Schema Management

Slide 17

Centralized Schema Management (2)

Slide 18

Metadata extensibility

  • EAV/CR allows global ontological annotation of any data or metadata element in the database.

Slide 19

Metadata driven Ad hoc interface generation

  • This generic interface is built in real time by reading the metadata. Boolean expressions can be added for complex associations. Results can be retrieved in HTML, XML text and other formats.

Slide 20

Metadata driven Ad hoc interface generation (2)

  • The same generic code is reused by other databases augmenting the value added to this robust evolvable design.

Slide 21

InfoSets and Evolvable Interoperability

  • The creation of the EDSP (EAV/CR dataset protocol) allows transference of database schema and data in a simple consistent extensible format.This picture show partial information of some olfactory receptors molecules from ORDB

Slide 22

InfoSets and Evolvable Interoperability (2)

  • Data exchange with standardized formats can be achieved through XML transformations. Below the previous EDSP message transformed into Microsoft XDR, a format used by the MS Office Suite to import/export data and metadata into MS Access and SQL Server databases.

Slide 23

Importing EAV/CR database into MS Access

Slide 24

Importing EAV/CR database into MS Access (2)

  • http://senselab.med.yale.edu/senselab/site/dbGate/Xtract.asp?o=1798&xsl=edsp-officedata

Slide 25

Importing EAV/CR database into MS Access (3)

Slide 26

Importing EAV/CR database into MS Access (4)

Slide 27

Importing EAV/CR database into MS Access (5)

  • … relationships, and the data (preserving strong data typing )

  • All in one “deEAVfication” process.

Slide 28

Importing EAV/CR database into Protégé ontology

Slide 29

EAV/CR Physical DB Diagram

  • http://senselab.med.yale.edu/senselab/site/dsArch/images/Visio-EAVCR_Physical_Schema_021205.png

SenseLabPhysical schema

Mix of both worlds

EAV/CR and RDB


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