Data Management and Governance Practices (2017) / Chapter Skim
Currently Skimming:
Pages 12-19
The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.
From page 12... ...
12 NCHRP Report 666 (Cambridge Systematics, Inc.
|
From page 13... ...
13 sized that data governance models be evaluated and assessed periodically (Hall 2015)
|
From page 14... ...
14 Process: The FDOT data governance initiative consists of six categories of data governance processes/procedures, as follows: • Business needs assessment: These procedures deal with collecting and documenting business requirements for each new business intelligence (BI) solution or data-related enhancement.
|
From page 15... ...
15 Minnesota Dot Minnesota DOT's current data governance structure consists of nine data domains (with a steward identified for each domain) and five to 20 subject areas within each domain (with a data steward identified for each subject area)
|
From page 16... ...
16 u.S.Dot In 2013, the U.S.DOT published a data business plan to help achieve two goals (Vandervalk et al.
|
From page 17... ...
17 enterprise data warehouses. The data repository in a warehouse or mart (middle tier)
|
From page 18... ...
18 planning and operations data. Other state DOTs have embraced this approach for data access and sharing (e.g., Arizona, Florida, kansas, Idaho, Montana, Pennsylvania)
|
From page 19... ...
19 Previous studies (such as NCHRP Report 666 and NCHRP Report 814) suggest that the use of structured methods and instruments for gathering feedback from data users and data managers across agencies can help improve the quality of data maintained by transportation agencies.
|
Key Terms
This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More
information on Chapter Skim is available.