Developing a Guide to Ensuring Access to the Publications and Data of Federally Funded Transportation Research (2020) / Chapter Skim
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Pages 14-33
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8 After feedback from the panel at the mid-project briefing, Dr. Flannagan also attended the Research Advisory Committee (RAC)
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9 included coverage of "gray" literature, which includes technical reports, project final reports, websites, and other non-peer-reviewed sources, as well as published peerreviewed literature. The "gray" literature represents a large portion of the research publications produced by state DOTs.
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10 Table 2-1 High-Level Characterization of the Literature Review Area of Focus Number of References General or Transportation Specific General Research Products & Data Sharing 178 Mix Research Product & Data Types 113 Transportation Legal Issues (Citation, Copyright) 92 General Sharing in Collaborative Research Communities 75 Mix Metadata 73 General Compliance, Costs, Quality and Metrics 57 General Digital Registries & Repositories 54 General (By Domain)
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11 The third largest number of literature citations was to metadata standards and practices. This is not surprising because this has been an important aspect of management and curation for the past 15 years.
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12 authoritatively to these topics. There are a few exceptions, including University of Michigan's Inter-university Consortium for Political and Social Research and the UK Data Archive.
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13 ● Dept. of Transportation Chief Data Officer ● Dept.
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14 the other hand, the Department of Defense is guided by the Code of Federal Regulations in making basic and applied research information available. While we may draw guidance from other organizations, it is important to understand the context when interpreting that guidance.
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15 How does this translate to guidance for state DOTs? There are few good practice examples here other than USGS, Department of Agriculture, and the Department of the Air Force.
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16 How does this translate to guidance for state DOTs? Of all the organizations interviewed, USGS, Department of Agriculture and NOAA appear to have similar research communities – a mix of theoretical and applied a mix of big science and focused research – and a similar mix of collaborative and individualistic research cultures.
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17 In general, while there are lessons to be learned from every organization we interviewed, it is clear that USGS is the most advanced in implementing their plans and policies. It is also the organization that is most similar to U.S.
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18 Figure 2-1 Availability and sufficiency of policies and support for data management
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19 Figure 2-2 Data storage locations reported by survey respondents
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20 Figure 2-3 Sources of support for data management within respondents' organizations When asked why they did not share data (if they did not share) , respondents in research organizations most commonly indicated either that they did not have the right to make the data public, that they needed to publish first, or that the data should not be available.
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21 Perhaps the most telling result from this question was that nobody indicated that they were satisfied with their current ability to integrate and access data from other sources. These current attitudes provide a base for the much-needed development of sharing culture within transportation.
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22 respond. The survey results also revealed that researchers were seeking guidance and assistance in helping them develop DMPs.
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23 2. DMPs must be emphasized in training and DMP training needs to be provided (or mandated)
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24 training is also needed for all stakeholders to see the big picture of the research life cycle and develop a common vocabulary to facilitate the movement of data between the stages. A common thread of general awareness training is the importance of introducing all stakeholders to high-level understanding of: 1.
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25 Table 2-4 Sources of support for data and publication preservation training Source Topics Covered Website(s) California Digital Library DMP workflow https://dmptool.org Digital Curation Centre DMPs https://dmponline.dcc.ac.uk/ ICPSR General awareness, DMPs, data curation practices https://www.icpsr.umich.edu/icpsrweb/cont ent/deposit/guide/ USGS All areas https://www2.usgs.gov/datamanagement/in dex.php University of Minnesota DMPs https://www.lib.umn.edu/datamanagement/ DMP Johns Hopkins University Libraries DMPs (with context)
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26 2.4.2.5 Focused Training for Support Roles In addition to training for researchers, there are more specialized training programs geared toward data management and curation professionals, particularly for librarians. Metadata is used by librarians in building digital collections and in making content, including research data accessible to their patrons.
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27 program. Any training program will need to account for and speak to the cultures and practices of researchers at state DOTs to be effective.
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