Workshop: Geert Van Grootel - Implementation of Data Governance in a Multi-institutional Context

Integrating aspects of interoperability, policy and governance

FRIS: a research information infrastructure in Flanders

CASRAI Canada ReConnect14November 19-21 2014 Ottawa

CASRAI ReConnect14, 19- 21 November 2014, Ottawa, Canada

Geert Van Grootel

Economy, Science & Innovation dept.

Flemish government

[email protected]

CASRAI ReConnect14, 19- 21 November 2014, Ottawa, Canada3

FRIS: Flanders Research Information Space

researchers

Research organisation

Investment opportunities

projects

publications

patents

equipment

products

research datafacilitiesgovernment

fundersresearchers

editors

libraries

data centres

research institutionsindustry


Better Research Information: correct, actual , complete

Open FRIS data for services and application development

Maximum reuse of data

Maximum reuse of components

Connect data silo’s

Reduce system costs

More information services

Policy monitoring:efficient & effective

Increase strategic intelligence

Flemish government Open Data policy

FRIS Needs & drivers


The Information Providers Landscape

Universities

Research Institutes

Funding Agencies

Others

Strategic ResearchCenters

University Colleges

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The Challenge

Information integration from sources with large difference in: Scope:

research education data centre's services

Scale: 8 to >6.600 researchers

Internal integration maturity Application silo’s

HR Finance Asset management The library silo

ERP CRIS System …


Goals

Implementation of FRIS information principles and policy Information quality

Completeness Accurate Timeliness

Information is integrated 360° view on all information dimensions

CASRAI ReConnect14, 19- 21 November 2014, Ottawa, Canada 8

Architecture

ContentChan

ge m

gnt

Gov

erna

nce

ServicesUse

Populate

Build

Accelerate Innovation

E-government

Monitoring

Communication

Agreements1. Information standards2. Classifications, Reference data3. ID’s

How to realise FRIS


A core element of the Architecture: FRIS Shared Services

Person Organisation

Project

Classifications

Research Contribution

Reference Data

Business Rules

Data Validation

Storage

Ingestion /Consumption

Administration User interface

Portal User Interface

Institution Services

InstitutionServices


A core element of the Architecture: FRIS Shared Services


Goals Incremental information exchange

Continuous flow of information driven by agreed state Consequence:

reporting is realised on integrated FRIS data KPI’s continuously monitored

Process alignment Information collection efficiency

“I shall ask this only once” principle Master Data integration

Reuse and sharing of master data Available on the FRIS shared services layer

Reference data Agreed and managed semantics Available on the FRIS shared services layer


GoalsSemantics

Shared and managed vocabularies for Terms Business objects Business rules KPI Reports

Traceability from policy to data and back Policy Business rule Validation rule Validation rule compliancy Business

rule Policy


FRIS requirements for semantic management

• What• High level conceptual models• Provider information models • Business Rules• KPI’s• Reference data:

• Classifications, allowed value sets, • Codes and code sets• Data Validation Rules• Exchange formats and reporting standards

• CERIF • CASRAI



• How• Collaborative management of information

models• Collaborative management of classification

schemes and code sets• Machine readable classification schemes and

codes sets • Machine readable information models including

business rules in anticipation of automated validation of exchanged information.



Who EWI

Policy developers Monitoring group Enterprise Architect and team CIO FRIS Information architect FRIS services functional analyst IT developer Operations:

Data validation Report design KPI implementation

Information providers Roles very comparable to EWI Subject matter experts


FRIS Information Modelling Stack

Principles, Guidelines, Governance structures

High Level Conceptual models

Governance models

Met

a m

od

el

Information models

Data base schemes

Code SetsClassification Schemes

Information templates

Business Rules

Governance Implementation

Info

rmat

ion

M

od

elin

g



Tools

Methodology

Organisation

DATA GOVERNANCEProactively managing your data, to support your business


“The Information “modelling” stack problem”

Technology

Application

Business

Information Behavior Structure

ProcessesInformation

Data

Organisation

Products & Services

Applications

Technical Infrastructure

BusinessFunctions



Enterprise Information Architecture

20

Bus

ines

sA

pplic

atio

nTe

chno

logy

Business service

Business processBusiness object

Representation

Business role Business actor

Business interface

Application service

Data objectApplication function Application component

Application interface

Infrastructure service

System softwareNode

Artifact

Infrastructure interface

Network


Terminology, Profiles and

Objects


Objects

Model(s)Model(s)

Data Formats and Exchange

Protocols


Protocols

Software Implementation and Developers

Modeling and Exchange Experts

Business: daily users to subject matter experts


Can we have a business communication with this?

The CERIF Model


Data modelling vs Concept Modelling

Person Research Contribution

Pers-ResCont

is involved with

of

Pers_ResCont_code• auth• edit• Illus• publ



Objects


Objects

Model(s)Model(s)


Protocols


Protocols




‘Essentially, all models are wrong, but some are useful’George E. P. Box


Managing Complexity


Business Vocabularies & Business Rules

• Can Business vocabularies be realised without structure?

• Even without a formal modelling framework we need structure• Everything is a concept• All concepts are equal but some are more equal than other• Frame discussions and communication• Appoint the responsible actor• ….


The structured Business Vocabulary

Reasons for having structured vocabulariesCan express what we can know about the business

In a language understood by the business Provides meaning (semantics) to all concepts of the business

Provides coherence for Business Rules Requirements

Openess Sharing across the organisation

Can be supported by tooling Management

Workflows Storage Starting point for vertical integration


The components of structured Business vocabulary

Business Term A Business Term is the name of a Business Concept. It is the

representation of a Business Concept by means of a word or ‘ordered set’ of words. A Business Term is used to refer to a Business Concept and its meaning

28



Business Concept A Business Concept is whatever can be thought of by the

business. Normally each Business Concept has an unambiguous meaning expressed by an unambiguous definition.

A Business Concept can be taxonomically classified in various sub classifications e.g. Business Object, Classification, Business Rule, Code.

A Business Concept is represented by a Business Term

29



Business Object A Business Object is a Business Concept, concrete or abstract,

that has the capability to influence behavior of a Business System. Typical examples are Person, Organization, Project, Location, Instruction, Account, etc.

A Business Object is represented by a Business Term

30



ClassificationA Classification is a Business Concept that organizes and

manages business information by defining (hierarchical) structures that provide classification categories that apply to one or more Business Concepts and groups of Business Concepts that apply to multiple Business Concepts

A Classification is represented by a Business Term

31



CodeA (technical) Business Concept that is an identifier of a Business

Concept.A Code is used to 'identify' or to 'refer to' a Business Concept.A Code is represented by a Business Term e.g. BE identifies the concept “Belgium”

32



Business RuleA formula that defines or constrains some aspect of business.

• Intended to assert business structure or to control or influence the behavior of the business.

• Describe the operations, definitions and constraints that apply to an organization.

• Can apply to people, processes, corporate behavior and computing systems in an organization, and are put in place to help the organization achieve its goals.

• May be informal or even unwritten, writing the rules down clearly and making sure that they don't conflict is a valuable activity.

• When carefully managed, rules can be used to help the organization to better achieve goals, remove obstacles to market growth, reduce costly mistakes, improve communication, comply with legal requirements, and increase customer loyalty.

A Business Rule is represented by a Business Term

33


Information Model Pattern

Information Model Pattern The Information Model Pattern defines the generic structure of the type of

information you may be interested in when describing a concept.

This is the high level conceptual data architecture which represents the fundamental business objects and the relations between each other and the environment and the principles guiding its design and evolution (TOGAF 9.1 ISO 42010, IEEE 1471).

34


FRIS Meta model

Project

Person

Organisation

Location

ElectronicLocation

PhysicalLocation

Book

Book Contribution

Journal Contribution

Journal

Research Contribution


The FRIS Business Object structure

FRIS Business Object

Identifier

Issuing Authority

Provenance

Property

Classification

Taxonomical

Functional

Relationship

Life Cycle


A concrete FRIS Business Object: Person


The structured vocabulary implemented


The structured vocabulary implemented


Business Rules

Business Rules implementation is fairly new in FRIS

Examples of structural business rule constraining the components of a FRIS Business objects

Mandatory propertiesThe following properties of Book Contribution In Book are

mandatory: Title, Publication Date, Book Title, ISBN, Publisher Name, Start Page, End Page andPublication Date.

Author Order RuleThe author order is known and represented by a

natural number indicating the position of an author in the author list.

Published Book Identifier RuleA Book classified as Published Book has at least one ISBN identifier

Identifier Composition RuleAn Identifier always has a known Issuing Authority and Provenance.


Business Rules

The Business Rules are expressed in natural language

Is under de jurisdiction of the BusinessCreation RevisionDeprecation

Business Rules tend to remove degrees of freedom

Type of rulesDefinitional Rule

An Identifier always has a known Issuing Authority and Provenance.Behaviour Rules

A Journal Article must be deposited in the institutional archive no later than 3 moths after the publication date


Business Rules and Business vocabulary

Business Rules are maintained as integral part of the Business vocabulary environment.

As much as possible with formal relationships to all relevant terms

CoherenceCompletenessTraceability


Business Rule Traceability

The following properties of Book Contribution are mandatory: Title, Start Page, End Page.







Objects


Objects


VocabulariesBusiness ObjectsClassifications

Business Rules

VocabulariesBusiness ObjectsClassifications

Business Rules


Governance Organisation


Governance Implemenation


Governance implementation“Workflow”


TOOLS

The Law of the Instrument:

“ If you only have a hammer, everything looks like a nail”


Tool Scope

One tool for all, all for one tool


Usage


Data Governance Implementation Strategy


FRIS Data Governance Center Operating Model fragment


FRIS Data Goverance Operating model fragment


What has been realised so far

FRIS Business Objects Identifiers Properties Classification

Taxonomies Functional Classifications

Relationships Life Cycle


What has been realised so far

Codes, Codes sets and managementBusiness Rules

Policy Rule types Versioning

Implementation roadmap dependant Context dependant


Roadmap 2015

Implement complete governance structure in Data Governance Center Roles and responsibilities Workflows

Design Implementation

Implement Data Governance Center Validation Rules


Roadmap 2015

Integrate the Data Governance Center API with FRIS services layer

Reference Data Classifications Allowed values

Rule based data validation Integration of Business Rules – Data Rules stack

in Data Governance Center with the DataFlux validator services

KPI development.



Objects


Objects

Model(s)Model(s)


Protocols


Protocols





Why do we want manage semantics?


Alignment ... Do we speak the same language!

We will create anOpen Research

Information Space for all stakeholders

So we need an open

standard and a triple store

open office concept ?

So we need“openminded”

personel

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