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


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

  2. 2 PRE SE NT AT I ON OUT L I NE 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

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

  4. OUT COME S OF F HWA/ MDOT SHA MOBI L I T Y DBP • 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 Mo b ility Sta ke ho lde r Da ta Da ta Outre a c h Asse ssme nt F ra me wo rk 4

  5. MDOT SHA T SMO DAT A GOVE RNANCE So urc e : 2017 F HWA Da ta Busine ss Pla n – MD Pilot Da ta Multimo da l Mo b ility F ra me wo rk Go ve rna nc e Arc hite c ture Interaction, structure, and components to integrate and report on mobility data 5

  6. MDOTDAT A GOVE RNANCE E F F ORT S

  7. 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… – Hig hwa y, T ra nsit, Air, Wa te r, Othe r… By MODE ION - Pla nning , E ng ine e ring , Ope ra tio ns, By F UNCT Ma inte na nc e , Pe rfo rma nc e Ma na g e me nt A – Sa fe ty, Mo b ility, Asse t By PE RF ORMANCE ARE Ma na g e me nt, Administra tive , Busine ss T ra nsa c tio ns - I nte rna l vs E xte rna l Da ta By SOURCE 7

  8. MDOT DAT A GOVE RNANCE & DAT A HUB • Data Gove rnanc e & Data Hub Ove rvie w • Whe re Do We Want to Be ? o Visio n, Go a ls, a nd Ob je c tive s o Princ iple s to Guide I mple me nta tio n • What Did We L e arn? o MDOT ’ s Curre nt Sta te o Ga ps in Da ta Go ve rna nc e o Re vie w o f No ta b le Pra c tic e s • What Do We Ne e d to Do? o De ve lo p a n MDOT Da ta Hub o 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? 8

  9. S & DIME NSIONS T O GUI DE DAT A GOVE RNANCE PRINCIPL E 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

  10. MDOTDAT A HUB – CONCE PT UAL F RAME WORK Data Source Validation*

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

  12. MD & MDOT SHA GE OSPAT IAL DAT A GOVE RNANCE & MANAGE ME NT Po lic ie s, standar ds and pr o 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 o 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 o Ma ryla nd iMa p Da ta Sub missio n Po lic y • Data Shar ing & Se c ur ity o Do I TAc c o unt Ma na g e me nt Po lic y • Applic ation De ve lopme nt o MDOT SHA Sta nda rd We b Ma p Co nfig ura tio n in AGOL o MDOT SHA We b App Do c ume nta tio n in AGOL • E nte r pr ise GIS Data Inve ntor y o Do c ume nte d in sta nda rdize d te mpla te

  13. 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 13

  14. OPE RAT I ONS T r anspor tation Ne twor k AT MS/ DSS RI T I S, I MAP, T BUs Da ta Hub (s) T r anspor tation Manage me nt T r ave le r s Age nc ie s/ Companie s 14

  15. L ONG RANGE AND T SMO PL ANNI NG Ope r ations Data Planning Data Asse t Data • Ce nte r line Attr ibute s • Signal Data • Pave me nt Attr ibute s • L ane Configur ations • Roadway Str uc tur e s • Pr obe / Spe e d Data Sa fe ty • Signal Syste ms • T ur ning Move me nts • IT S Asse ts (DMS, CCT Vs, e tc .) • Wor k Zone L imits • Inc ide nt/ Safe ty Data • Ce nsus Data • DL L R E mployme nt Data E xisting Asse ts • Auto/ T r uc k Count data Data Analytic s T ra nspo rta tio n • NHT S/ ACS.MPO HT S Data De c isio ns T ra ffic • T AZ/ Bloc k- L e ve l Soc ioe c onomic Data T SMO/ Pla nning • E xisting/ F utur e T r anspor tation Ne twor ks Stra te g ie s Pe r for manc e Manage me nt • 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 .) • INF RAST RUCT URE CONDIT IONS • SE GME NT , CORRIDOR & SYST E M PE RF ORMANCE

  16. ASSE T MANAGE ME NT 16

  17. NE XT ST E PS • F o 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) 17

  18. 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 QUE ST IONS? & Ope ra tio ns (OT MO) T HANK YOU! MDOT Sta te Hig hwa y Administra tio n (410) 582-5569 sma ha pa tra @ mdo t.ma ryla nd.g o v 10

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