Data Gove r nanc e and Manage me nt for Be tte r T r anspor - - PowerPoint PPT Presentation

F HWA Da ta Busine ss Pla n Pe e r E xc ha ng e July 08, 2020

Subr at Mahapatr a

MDOT SHA Offic e o f T ra nspo rta tio n Mo b ility & Ope ra tio ns (OT MO)

Data Gove r nanc e and Manage me nt for Be tte r T r anspor tation De c isions

PRE SE NT AT I ON OUT L I NE

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MDOT SHA T SMO Da ta Go ve rna nc e E ffo rts MDOT wide Da ta Go ve rna nc e E ffo rts Othe r Da ta Go ve rna nc e I nitia tive s/ Oppo rtunitie s

MOBI L I T Y/ T SMO DAT A BUSI NE SS PL AN E F F ORT S

OUT COME S OF F HWA/ MDOT SHA MOBI L I T Y DBP

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• Hig h le ve l a c tio n pla n fo r impro ving mo b ility da ta

a nd se rve a s the T SMO DBP to suppo rt T SMO Pro g ra m

• E

xa mple o f ho w o the r a re a s within MDOT SHA c o uld a ppro a c h the pro c e ss o f de ve lo ping simila r pla ns

• Re c o mme nda tio ns fo r MDOT

SHA to e nha nc e da ta g o ve rna nc e a c tivitie s a t a n e nte rprise le ve l Sta ke ho lde r Outre a c h Da ta Asse ssme nt Mo b ility Da ta F ra me wo rk

MDOT SHA T SMO DAT A GOVE RNANCE

5 Multimo da l Mo b ility F ra me wo rk

Da ta Arc hite c ture Go ve rna nc e

Interaction, structure, and components to integrate and report on mobility data

So urc e : 2017 F HWA Da ta Busine ss Pla n – MD Pilot

MDOTDAT A GOVE RNANCE E F F ORT S

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DAT A…DAT A…DAT A…

MDOT c ompr ise s of six busine ss units and an Author

• ity. Str

ate gic , T ac tic al, Ope r ational

Ac tivitie s a t the T BUs g e ne ra te s a hig hly c o mple x se t o f da ta stre a ms…

Many ways to looks at the Data Str e ams…

By MODE – Hig hwa y, T

ra nsit, Air, Wa te r, Othe r…

By F UNCT ION - Pla nning , E

ng ine e ring , Ope ra tio ns, Ma inte na nc e , Pe rfo rma nc e Ma na g e me nt

By PE RF ORMANCE ARE A – Sa fe ty, Mo b ility, Asse t

Ma na g e me nt, Administra tive , Busine ss T ra nsa c tio ns

By SOURCE

• I

nte rna l vs E xte rna l Da ta

MDOT DAT A GOVE RNANCE & DAT A HUB

• Data Gove rnanc e & Data Hub Ove rvie w
• Whe re Do We Want to Be ?
• Visio n, Go a ls, a nd Ob je c tive s
• Princ iple s to Guide I

mple me nta tio n

• What Did We L

e arn?

• MDOT

’ s Curre nt Sta te

• Ga ps in Da ta Go ve rna nc e
• Re vie w o f No ta b le Pra c tic e s
• What Do We Ne e d to Do?
• De ve lo p a n MDOT

Da ta Hub

• T

a ke Ac tio n to Addre ss Ga ps in Da ta Go ve rna nc e

• How Can We Monitor and E

valuate Data Gove rnanc e Imple me ntation?

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PRINCIPL E S & DIME NSIONS T

O GUI DE DAT A GOVE RNANCE I MPL E ME NT AT I ON

• 1. VAL

UABL E

• 2. AVAIL

ABL E

• 3. VAL

IDAT E D

• 4. SE

CURE D

• 5. CL

E AR

• 6. E

F F ICIE NT

• 7. ACCOUNT

ABL E

AASHT O Re fe re nc e : https://data.transpo rtatio n.o rg / 9

MDOTDAT A HUB – CONCE PT UAL F RAME WORK

Data Source Validation*

OT HE R DAT A GOVE RNANCE I NI T I AT I VE S/ OPPORT UNI T I E S

MD & MDOT SHA GE OSPAT IAL DAT A GOVE RNANCE & MANAGE ME NT

Po lic ie s, standar ds and pr

• c e dur

e s to c o lle c t, manage , disse minate , utilize , and ar c hive e nte r pr ise data and r e late d applic atio ns.

• Data De ve lopme nt
• MDOT

SHA Ge o spa tia l Da ta I nte g rity-Da ta Sub missio n Po lic y & Pro c e dure

• Ma ryla nd iMa p Da ta Sub missio n Po lic y
• Data Shar

ing & Se c ur ity

• Do I

TAc c o unt Ma na g e me nt Po lic y

• Applic ation De ve lopme nt
• MDOT

SHA Sta nda rd We b Ma p Co nfig ura tio n in AGOL

• MDOT

SHA We b App Do c ume nta tio n in AGOL

• E

nte r pr ise GIS Data Inve ntor y

• Do c ume nte d in sta nda rdize d te mpla te

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T RADI T I ONAL & BI G DAT A APPL I CAT I ONS

• Re al time applic ations
• Syste m Mo nito ring
• I

nc ide nt Mg mt.

• AT

M/ I CM

• Ma inte na nc e / SOGR
• Ar

c hive d data applic ations

• Pla nning / T

SMO

• Asse t Ma na g e me nt
• Pe r

for manc e Manage me nt

T r anspor tation Manage me nt Age nc ie s/ Companie s

T r ave le r s

OPE RAT I ONS

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AT MS/ DSS

RI T I S, I MAP, T BUs Da ta Hub (s)

T r anspor tation Ne twor k

L ONG RANGE AND T SMO PL ANNI NG

Planning Data Ope r ations Data Asse t Data

Data Analytic s

• Signal Data
• L

ane Configur ations

• Pr
• be / Spe e d Data
• T

ur ning Move me nts

• Wor

k Zone L imits

• Inc ide nt/ Safe ty Data
• Ce nte r

line Attr ibute s

• Pave me nt Attr

ibute s

• Roadway Str

uc tur e s

• Signal Syste ms
• IT

S Asse ts (DMS, CCT Vs, e tc .)

• T

AZ/ Bloc k- L e ve l Soc ioe c onomic Data

• E

xisting/ F utur e T r anspor tation Ne twor ks

• F

utur e Inve stme nts (CL RP, T IP, CT P, e tc .)

• Se c tor

Plans, T ODs, Ac tivity Ce nte r s, e tc .)

• Ce nsus Data
• DL

L R E mployme nt Data

• Auto/ T

r uc k Count data

• NHT

S/ ACS.MPO HT S Data

• INF

RAST RUCT URE CONDIT IONS

• SE

GME NT , CORRIDOR & SYST E M PE RF ORMANCE Pe r for manc e Manage me nt

T ra nspo rta tio n De c isio ns Sa fe ty E xisting Asse ts T ra ffic T SMO/ Pla nning Stra te g ie s

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ASSE T MANAGE ME NT

• F
• rma lize Da ta Go ve rna nc e Struc ture s fo r ne w Da ta stre a ms
• E

DC-5 Cro wd So urc ing fo r Ops (Wa ze CCP) a nd Ro a d We a the r Ma na g e me nt Stra te g ie s

• Wo rk with F

HWA o n WZDx a nd o the r da ta e xc ha ng e s

• Wo rk with priva te se c to r, industry a nd a sso c ia tio ns fo r sta nda rdizing CAV a nd CAT

S da ta

• Re vie w a nd re fine Da ta Ma na g e me nt Struc ture s (o n pre m a nd/ o r c lo ud se rvic e s)

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NE XT ST E PS

CONT ACT INF ORMAT ION SUBRAT MAHAPAT RA

De puty Dire c to r, T SMO & CAT S Offic e o f T ra nspo rta tio n Mo b ility & Ope ra tio ns (OT MO) MDOT Sta te Hig hwa y Administra tio n (410) 582-5569 sma ha pa tra @ mdo t.ma ryla nd.g o v

QUE ST IONS? T HANK YOU!

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