enterprise information architecture (eia) scorecard survey … · 2018-02-21 · agency holds...

1 www.vita.virginia.gov

Enterprise Information Architecture (EIA) Scorecard Survey Summary

Joseph W. Grubbs, Ph.D. Commonwealth Data Governance Presentation to the Health IT Standards Advisory Committee October 18, 2012

www.vita.virginia.gov 1


0

10

20

30

40

50

60

70

Bus

ines

s le

ads

wor

k cl

osel

y w

ith d

ata-

man

agem

ent

staf

f to

coor

dina

te h

ow in

form

atio

n ar

chite

ctur

e ca

n be

tter

supp

ort

busi

ness

out

com

es.

Pro

ject

team

s br

ing

data

-m

anag

emen

t sta

ff in

on

proj

ect

plan

ning

, sch

edul

ing

and

cost

es

timat

ion.

Pro

cure

men

t sta

ff co

ordi

nate

s w

ith d

ata-

man

agem

ent

staf

f w

hen

purc

hasi

ng n

ew IT

so

lutio

ns.

App

licat

ion

deve

lope

rs e

ngag

e w

ith d

ata-

man

agem

ent

staf

f th

roug

hout

the

syst

em

deve

lopm

ent l

ifecy

cle.

Age

ncy

lead

ersh

ip in

tegr

ates

da

ta m

anag

emen

t/inf

orm

atio

n ar

chite

ctur

e w

ith

orga

niza

tiona

l cha

nge

man

agem

ent

stra

tegi

es.

Please indicate your level of agreement with the following statements within your Agency.

Strongly disagree Disagree Agree Strongly agree


0

10

20

30

40

50

60

70

Age

ncy

Hea

d

Age

ncy

Chi

ef In

form

atio

n O

ffice

r (C

IO)/

IT D

irec

tor

Info

rmat

ion

Sec

urity

Offi

cer

(IS

O)

Age

ncy

IT R

esou

rce

(AIT

R)

Dat

abas

e A

dmin

istr

ator

s

Pro

ject

/Pro

gram

Man

ager

s

Dat

a S

tew

ards

Bus

ines

s A

naly

sts

Tec

hnic

al S

taff

Pro

cure

men

t Sta

ff

How involved are the following staff members in your Agency’s EIA activities?

Not Applicable Not aware and not involved Aware but not involved Supports but not active Actively participates


0

10

20

30

40

50

60

Age

ncy

data

/info

rmat

ion

stra

tegy

alig

ned

with

bus

ines

s st

rate

gy

Age

ncy

data

/info

rmat

ion

man

agem

ent p

olic

ies,

pr

oced

ures

and

pro

cess

es

Age

ncy

data

sta

ndar

ds a

nd/o

r co

mpl

ianc

e w

ith a

dopt

ed

Com

mon

wea

lth d

ata

stan

dard

s

Age

ncy

data

/info

rmat

ion

man

agem

ent

trai

ning

for

data

st

ewar

ds

Met

adat

a fo

r A

genc

y’s

ente

rpri

se d

ata

syst

ems

Age

ncy/

Inte

rage

ncy

data

-sh

arin

g ag

reem

ent(

s)

Which of the following EIA deliverables have been implemented by your Agency?

Agency does not plan to implement Still exploring implementation potential Developing implementation plan Fully implementing the deliverable


0

10

20

30

40

50

60

Age

ncy

has

desi

gnat

ed d

ata

stew

ards

with

cle

arly

def

ined

rol

es

and

resp

onsi

bilit

ies.

Age

ncy’

s da

ta s

tew

ards

rec

eive

pe

riod

ic tr

aini

ng o

n da

ta

gove

rnan

ce.

Age

ncy’

s da

ta g

over

nanc

e st

rate

gy

incl

udes

ele

ctro

nic

reco

rds

man

agem

ent.

Age

ncy

has

adop

ted

data

go

vern

ance

pol

icie

s, s

tand

ards

, gu

idel

ines

and

pro

cedu

res.

Age

ncy

hold

s re

gula

rly

sche

dule

d st

akeh

olde

r m

eetin

gs r

elat

ing

to

data

gov

erna

nce.

Age

ncy’

s da

ta s

tew

ards

act

ivel

y pa

rtic

ipat

e in

Com

mon

wea

lth-w

ide

data

gov

erna

nce

activ

ities

.

Age

ncy’

s da

ta g

over

nanc

e pr

ogra

m

has

been

des

igne

d in

line

with

A

genc

y bu

sine

ss r

equi

rem

ents

.

How organized and stakeholder-driven is your Agency’s data governance program?



0

10

20

30

40

50

60

Agency formally plans its data governance activities rather than take

an ad hoc approach.

Agency regularly engages its stakeholders for data governance.

Agency tailors its data governance activities to meet stakeholder needs.

How frequently do the following data governance activities occur in your Agency?

Always

Often

Rarely

Never


0

10

20

30

40

50

60

Age

ncy

Hea

d

Age

ncy

Chi

ef In

form

atio

n O

ffice

r (C

IO)/

IT D

irec

tor

Info

rmat

ion

Sec

urity

Offi

cer

(IS

O)

Age

ncy

IT R

esou

rce

(AIT

R)

Dat

abas

e A

dmin

istr

ator

s

Pro

ject

/Pro

gram

Man

ager

s

Dat

a S

tew

ards

Bus

ines

s A

naly

sts

Tec

hnic

al S

taff

Pro

cure

men

t Sta

ff

How involved are the following staff members in your Agency’s data governance activities?

Not Applicable Not aware and not involved Aware but not involved Supports but not active Actively participates


56.0%

44.0%

Does your Agency maintain metadata - descriptive information about agency data – as part of its data management practice?

Yes No


0

5

10

15

20

25

30

Age

ncy

mai

ntai

ns a

n in

vent

ory

of it

s en

terp

rise

dat

a as

sets

.

Age

ncy

trac

ks w

hich

en

terp

rise

dat

a as

sets

are

ex

chan

ged

and

with

wha

t ot

her

syst

ems.

Age

ncy

has

a de

taile

d ta

xono

my

to tr

ack

its

ente

rpri

se d

ata

asse

ts.

Age

ncy

has

docu

men

ted

met

adat

a fo

r its

ent

erpr

ise

data

ass

ets.

Age

ncy

publ

ishe

s an

d m

aint

ains

its

met

adat

a in

a

met

adat

a re

posi

tory

or

regi

stry

.

Age

ncy

map

s its

ent

erpr

ise

data

ass

ets

to a

dopt

ed

Com

mon

wea

lth d

ata

stan

dard

s.

How well documented and tracked are your Agency’s data assets?



84.6%

11.5%

3.8%

Which of the following best describes your Agency’s approach to maintaining metadata for enterprise data assets?

Agency uses basic tools such as Microsoft Word, Excel or Access with general descriptive information on the data assets.

Agency uses specialized tools such as OneMeta MDR or LogiXML with general descriptive information on the data assets.

Agency uses specialized tools such as OneMeta MDR or LogiXML with standardized metadata information for all data assets.


0

5

10

15

20

25

Age

ncy

Hea

d

Age

ncy

Chi

ef In

form

atio

n O

ffice

r (C

IO)/

IT D

irec

tor

Info

rmat

ion

Sec

urity

Offi

cer

(IS

O)

Age

ncy

IT R

esou

rce

(AIT

R)

Dat

abas

e A

dmin

istr

ator

s

Pro

ject

/Pro

gram

Man

ager

s

Dat

a S

tew

ards

Bus

ines

s A

naly

sts

Tec

hnic

al S

taff

Pro

cure

men

t Sta

ff

Who would you consider the most active user(s) of your data asset inventory and metadata? (Select the top three (3) users.)

Not Applicable Choose top three (3) only


0

5

10

15

20

25

30

35

40

45

50

Agency views data standardization as vital for enterprise interoperability.

Agency understands the value of data standards for sharing and

maximizing its data assets.

Agency views enterprise data standards and interoperability as central to its business outcomes.

Agency maintains full compliance with adopted Commonwealth

data standards.

How would you describe your Agency’s view of data standardization?



4.7%

62.8%

20.9%

11.6%

Which of the following best describes your Agency’s approach to data standards?

Agency develops its data-management solutions without considering or identifying applicable data standards.

Agency develops its data-management solutions based on “internal” standards designed for the Agency or each individual system.

Agency develops its data-management solutions based on adopted Commonwealth data standards and/or standards maintained by national/international Standards Development Organizations (SDOs).

Agency develops its data-management solutions based on adopted Commonwealth data standards and/or standards maintained by national/international Standards Development Organizations (SDOs) and regularly tracks these standards for new versions or updates.


0

5

10

15

20

25

30

35

40

45

Age

ncy

Hea

d

Age

ncy

Chi

ef In

form

atio

n O

ffice

r (C

IO)/

IT D

irec

tor

Info

rmat

ion

Sec

urity

Offi

cer

(IS

O)

Age

ncy

IT R

esou

rce

(AIT

R)

Dat

abas

e A

dmin

istr

ator

s

Pro

ject

/Pro

gram

Man

ager

s

Dat

a S

tew

ards

Bus

ines

s A

naly

sts

Tec

hnic

al S

taff

Pro

cure

men

t Sta

ff

Oth

er

How involved are the following staff members in your Agency’s compliance monitoring for data standards?

Not Applicable Not aware of monitoring Aware but not involved in monitoring Some monitoring role Strong monitoring role


0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

80.0%

Pro

ject

Initi

atio

n

Pro

ject

Pla

nnin

g

Pro

ject

Exe

cutio

n an

d C

ontr

ol

Sys

tem

Des

ign

Sys

tem

Dev

elop

men

t/Tes

ting

Sys

tem

Ver

ifica

tion

Sys

tem

Impl

emen

tatio

n

Sys

tem

Mai

nten

ance

& U

pdat

e

During which of the following project or product phases does your Agency monitor compliance with adopted data standards?


0

5

10

15

20

25

30

35

40

45

CO

V/E

IA p

rovi

des

adeq

uate

not

ice

to d

ata

stew

ards

dur

ing

its p

roce

ss

of e

stab

lishi

ng C

omm

onw

ealth

dat

a st

anda

rds.

CO

V /E

IA p

ublis

hes

adop

ted

Com

mon

wea

lth d

ata

stan

dard

s in

an

acc

essi

ble,

eas

y to

use

Web

-ba

sed

repo

sito

ry.

CO

V /E

IA fu

lly e

ngag

es d

ata

stew

ards

, bus

ines

s le

ads

and

othe

r st

akeh

olde

rs in

the

adop

tion

of

Com

mon

wea

lth d

ata

stan

dard

s.

CO

V /E

IA m

aint

ains

an

appr

opri

ate

exte

nsio

n/m

itiga

tion

proc

ess

to

supp

ort A

genc

y co

mpl

ianc

e w

ith

adop

ted

Com

mon

wea

lth d

ata

stan

dard

s.

CO

V /E

IA c

ompl

ianc

e an

d en

forc

emen

t act

iviti

es a

re c

lear

ly

defin

ed a

nd c

omm

unic

ated

to

Com

mon

wea

lth A

genc

ies.

How does your Agency view the Commonwealth EIA Program’s process for data standards?



84.1%

15.9%

Does your Agency share data with other Agencies or external partners?

Yes No


0

5

10

15

20

25

30

35

Age

ncy

view

s da

ta s

hari

ng a

s vi

tal f

or m

axim

izin

g th

e va

lue

of e

nter

pris

e da

ta a

sset

s.

Age

ncy

part

icip

ates

in d

ata-

shar

ing

rela

tions

hips

with

ot

her

entit

ies.

Age

ncy

deve

lops

its

EIA

st

rate

gies

bas

ed o

n da

ta-

shar

ing

rela

tions

hips

.

Age

ncy

uses

dat

a sh

ared

w

ith/b

etw

een

othe

r en

titie

s in

its

bus

ines

s st

rate

gies

.

Age

ncy

inte

grat

es s

hare

d da

ta

into

its

prog

ram

pe

rfor

man

ce/o

utco

me

mea

sure

men

t.

Age

ncy

cont

inuo

usly

exp

lore

s ne

w d

ata-

shar

ing

oppo

rtun

ities

.

How would you describe your Agency’s view of enterprise data sharing?



0

5

10

15

20

25

30

35

With

dat

a sy

stem

s w

ithin

the

Age

ncy

With

oth

er C

omm

onw

ealth

A

genc

ies

With

oth

er C

omm

onw

ealth

S

ecre

tari

ats

With

Fed

eral

age

ncie

s

With

oth

er s

tate

s

With

loca

l gov

ernm

ent

agen

cies

With

no

ngov

ernm

enta

l/non

prof

it ag

enci

es

With

pri

vate

-sec

tor

entit

ies

With what entities does your Agency share its enterprise data assets and through what type of agreement?

No data sharing of this type Data sharing but no formal agreement(s) Point-to-point agreement (e.g., MOU) Multi-agency agreement (e.g., DURSA)


0

2

4

6

8

10

12

14

16

18

Tec

hnic

al b

arri

ers

asso

ciat

ed

with

lega

cy s

yste

ms

Hum

an r

esou

rce

(sta

ffing

) ba

rrie

rs w

ithin

my

Age

ncy

Pol

itica

l and

cul

tura

l bar

rier

s w

ithin

my

Age

ncy

Pol

itica

l and

cul

tura

l bar

rier

s be

twee

n A

genc

ies

For

mal

Age

ncy

polic

ies

and

proc

edur

es –

secu

rity

For

mal

Age

ncy

polic

ies

and

proc

edur

es –

priv

acy

For

mal

pro

visi

ons

in th

e C

ode

of V

irgi

nia

– se

curi

ty

For

mal

pro

visi

ons

in th

e C

ode

of V

irgi

nia

– pri

vacy

Fed

eral

reg

ulat

ions

– se

curi

ty

Fed

eral

reg

ulat

ions

– pr

ivac

y

What would you consider to be your Agency’s biggest barriers to enterprise data sharing?

Choose top three (3) only


0

5

10

15

20

25

30

35

Age

ncy

Hea

d

Age

ncy

Chi

ef In

form

atio

n O

ffice

r (C

IO)/

IT D

irec

tor

Info

rmat

ion

Sec

urity

Offi

cer

(IS

O)

Age

ncy

IT R

esou

rce

(AIT

R)

Dat

abas

e A

dmin

istr

ator

s

Pro

ject

/Pro

gram

Man

ager

s

Dat

a S

tew

ards

Bus

ines

s A

naly

sts

Tec

hnic

al S

taff

Pro

cure

men

t Sta

ff

Oth

er

How would you rank the following Agency staff members as drivers of enterprise data sharing?

Major driver for data sharing

Supports but does not initiate

Aware but not supportive

Often a barrier to data sharing

Not Applicable

enterprise information architecture (eia) scorecard survey … · 2018-02-21 · agency holds...

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