Key-Characteristics-Of-Successful-Public-private-Freight-Data-Partnerships-Crystal-Jones-Usdot-Fhwa.pdf
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1、Key Characteristics of Successful PublicPrivate Freight Data Partnerships Crystal Jones USDOT FHWA September 2009 Meeting Freight Data Challenges Workshop (July 2007 TRB) Concerns from previous workshops about adequacy of freight data Examined uses of data in public sector freight data research Expl
2、ored freight data architecture Identified methods to improve data including public private partnerships Why PublicPrivate Data Partnerships? Information and data on freight movement mostly resides with the private Public Sector Transportation Agencies and their Research partners need access to this
3、data PublicPrivate data sharing partnerships offer an opportunity to gain access to information that accurately reflects geographical freight flows, commodity flows, and freight system performance The Challenge ? Oracle Databases Federal Databases State Databases Local Databases Private Databases SQ
4、L Databases Excel CSVXML Legal Terms of Use Security Confidentiality Procedures Contracts Some Success Stories US DOT FHWA /ATRI Transport Canada Ontario Ministry of Transport University of Washington Texas Transportation Institute INRIX CALMAR Getting StartedGetting Started Knowledge of regulations
5、 that can restrict or facilitate access to data Time and patience to identify and cultivate the right organizations/people Careful think through procedures for handling data (collection, storage, processing analysis) Why Private Sector May Say NoWhy Private Sector May Say No Preparing the data will
6、burden an already overworked staff Afraid of being burned by bad publicity or regulation Worried about mishandling or improper release of the data Source data is has to be modified to meet needs Government Big Brother Why Private Sector Should Say YesWhy Private Sector Should Say Yes Quid pro quo Ex
7、amples of how the partnership could produce benefits to freight transportation (not been harmed) Assurance any burden will be on “you” not them Peer pressure: other “Countries, states, already have these partnerships in place” “Better data will enable the public to make decisions based on data not a
8、ssertions and opinions.” Freight Performance Measure FPM A PublicPrivate Partnership Started in 2003 Contractual Relationships Between FHWA and ATRI ATRI Contractual Arrangements and Non Disclosure Agreements with Vendor/Data Providers Industry Views on Data Sensitivity In Order 1. Civil Litigation
9、/ Trial Lawyers Subpoenas / Discovery 2. Competitive / Proprietary Access 3. Government Access Questionable Data Uses Modal Favoritism / Diversions Increasing Regulations ForProfit Services Freight Performance Measure FPM A PublicPrivate Partnership Data Governance Model is Cooperative FHWA sets gen
10、eral contractual guidelines on key business areas and management decisions it intends to use the data for Congestion and Bottleneck Identification Understanding Freight System Performance FHWA and ATRI monitor request for data and information (public sector, private sector and researchers) and deter
11、mine cooperatively who should have access to data and at what level of aggregation More on Data Governance Data stewardship is the foundation for success of the partnership. Shared data at all levels of governments More than a dozen universities have used the data to support research efforts No comp
12、laints from carriers to vendors Embraced by trucking industry Key Lessons Learned. Partners should jointly establish a policy that succinctly describes the intended uses and data principles Formally identify data stewards (FHWA and ATRI) who understand the use of the data and who are accountable for
13、 managing data The steward should be responsible for promoting collaboration among all data stakeholders. Identify and Manage Risk data integration, sharing, reuse, and data privacy and information security protections Good communication and outreach facilitates effective data partnerships Potential
14、 Research Topics Prepare a compendium and assessment of public private data sharing agreements and business models. Seek feedback from the parties to identify concerns, impediments, success factors and lessons learned Explore data valuation and pricing, evaluation of data quality and fitness for use
15、 Define and exemplify uses and benefits of public private data sharing Include integration of multiple public objectives (e.g. air quality, safety) Identify data sharing risks and options to mitigate and protect the interests of all parties What were doing Purpose: Identify and catalog information a
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