U.S. DOT Public Access and Data Management Review

U.S. DOT Public Access and Data Management Review

June 2019 Special TLR: U.S. DOT Public Access and Data Management Review Leighton Christiansen & Charles Ducker https://transportation.libguides.com/TLR U.S. DOT Public Access and Data Management Review Leighton L Christiansen https://orcid.org/0000-0002-0543-4268 Data Curator, National Transportation Library [email protected] Charles Ducker, Jr. https://orcid.org/0000-0002-7535-5258 Sr. Intellectual Property Counsel, Office of General Counsel [email protected]

Persistent link to this webinar: https://doi.org/10.21949/1503909 Topics to Cover Opening U.S. Government-Funded Research Data U.S. DOT Public Access Review Submitting Final Reports and Final Datasets Benefits of Data Management Writing Data Management Plans Implementing Data Management Plans

3 Opening U.S. GovernmentFunded Research Data 4 Opening U.S. Government-Funded Research Data 5 U.S. DOT Public Access Review 6 U.S. DOT Public Access Plan

Guidance Website http://ntl.bts.gov/publicaccess/ 7 U.S. DOT Public Access Policy Plan to Increase Public Access to the Results of Federally-Funded Scientific Research (2015-12-15) https://www.transportation.gov/mission/open/official-dot-public-access-plan-v11

Affirm and enhance DOTs commitment to Public Access to Scientific Research results, including digitally formatted scientific data without charge to the maximum extent possible. Support governance of and best practices for managing Public Access to peer-reviewed Publications and Digital Data Sets across DOT. Ensure continuous access to and reliable preservation of DOT-funded Publications and Digital Data Sets for research, development and education purposes, within available resources. Preserve and increase the use of Scientific Research results to enhance scientific discovery and deployment of research results. Enhance the use of Scientific Research results to promote innovation and economic competitiveness. Affirm DOTs support for the reproducibility of Scientific Research results. Make DOTs research portfolio available to the public at the project level.

8 U.S. DOT Public Access Policy from 30,000 feet DOT-Funded Scientific Research Not goods, services, or construction Three Components Publications Digital Datasets Research Project Record Links to Final Digital Datasets Data Management Plan (DMP) Explain case for long-term preservation and sharing; OR, Justify case against long-term preservation and sharing

Include preservation costs in proposals 9 Repository Characteristics Review 1. Explicit mission of digital data archiving 2. Protect privacy rights and maintain the confidentiality of research subjects 3. Enables the users to discover and use the data, and refer to them with a persistent identifier 4. Ensures the integrity and authenticity of the data https://ntl.bts.gov/public-access/guidelines-evaluating-repositories 10

Submitting Final Reports and Final Datasets 11 Submitting Final Reports and Final Datasets https://ntl.bts.gov/public-access/how-comply 10. Send one email to Research Hub, NTL, and TRB:

Final Report URL(s) or PDFs; URL(s) to final datasets and descriptive metadata; Funding agreement number; The Research Hub Display ID; ORCIDs (unique researcher IDs) for all author(s); and, Any other documented project outputs or outcomes.

Dataset Differences Final datasets used to draw conclusions in report, NOT all raw data gathered; URLs to datasets, NOT electronic copies Choose a conformant data repository https://ntl.bts.gov/public-access/data-repositories-conf ormant-dot-public-access-plan Dataset & documentation 12 Documenting Data Data Package Guidelines Dataset

o .csv or other open format Readme.txt o Includes Data Dictionary o Notes standards used o Defining Zero, Null, & Unknown o FAQs and other notes Metadata file in Project Open Data .json and/or other schema Data Management Plan (DMP) Code or scripts used in data analysis Supporting files, tables, etc.. A Data Package is the dataset, the DMP, and all other documentation needed to contextualize the dataset for any and all users. bts_amercan_travel_survey_1995_DATA_20190328.csv bts_ amercan_travel_survey_1995 _DMP_20190328.txt

bts_ amercan_travel_survey_1995 _Metadata_20190328.json bts_ amercan_travel_survey_1995 _README_20190328.txt bts_american_travel_survey_1995_DATA_DICTIONARY_20190328.txt bts_ amercan_travel_survey_1995 _SUPPORTING_coded_values_20190328.csv American Travel Survey (ATS) 1995 https://doi.org/10.21949/1503648 (Bold = Required; Italics = Optional, or Required if Applicable) 13 Benefits of Data Management 14 Data Management Definitions In the context of research and scholarship, Data Management refers to the

storage, access and preservation of data produced from a given investigation. Data management practices cover the entire lifecycle of the data, from planning the investigation to conducting it, and from backing up data as it is created and used; to long term preservation of data deliverables after the research investigation has concluded. - University Library, Texas A&M http://guides.library.tamu.edu/DataManagement Data management is the compilation of many small practices that make your data easier to find, easier to understand, less likely to be lost, and more likely to be usable during a project or ten years later. - Kristin Briney. 2015. Data management for researchers: organize, maintain and share your data for research success. 15 Benefits of Managing Data

Extend datas useful life Plan for software and hardware Plan for storage size & cost Save time Documented file storage paths Documented file naming convention and version control Documented data roles Data access levels Find data for follow-on research Backup and disaster recovery plan 3-2-1 Strategy Increase funder confidence

Improve data sharing culture Citation: Vines, Timothy H., Arianne YK Albert, Rose L. Andrew, Florence Dbarre, Dan G. Bock, Michelle T. Franklin, Kimberly J. Gilbert, Jean-Sbastien Moore, Sbastien Renaut, and Diana J. Rennison. The availability of research data declines rapidly with article age. Current biology 24, no. 1 (2014): 94-97. http://doi.org/10.1016/j.cub.2013.11.014 16 Writing Data Management Plans 17 DOT DMP Resources https://ntl.bts.gov/public-access/creating-data-management-plans

18 DOT DMP Overview A data management plan (DMP) describes how researchers will handle digital data both during and after a research project. DMPs will describe how the research proposal conforms to DOT policy on the dissemination and sharing of research results. Each plan should include a 2-3 page narrative description covering: The final research data to be produced in the course of the project; The standards to be used for data and metadata format and content; Policies for access and sharing the final research data, including provisions for appropriate protection of privacy, confidentiality, security, intellectual property, and other rights or requirements; Policies and provisions for re-use, re-distribution, and the production of derivatives; and Plans for archiving final research data and other research products, and for preservation of access to them. DOT-funded research projects are expected to be conducted pursuant to the approved

DMP. A DMP may evolve as the research project evolves and should be reviewed for possible revision whenever a data management procedure is changed . https://ntl.bts.gov/public-access/creating-data-management-plans-extramural-research 19 DOT DMP Sections 1. Data Description 2. Standards Used 3. Access Policies 4. Re-Use, Redistribution, and Derivative Products Policies 5. Archiving and Preservation Plans https://ntl.bts.gov/public-access/creating-data-management-plans-extramural-research 20

DOT DMP Section: Data Description Section Description Provide a description of the data that you will be gathering in the course of your project. Address the nature, scope, and scale of the data that will be collected. Describe the characteristics of the data, their relationship to other data, and provide sufficient detail so that reviewers will understand any disclosure risks that may apply. Discuss value of the data over the long-term. Helpful Prompts 1.

Name the data, data collection project, or data producing program. 2. Describe the purpose of the research. 3. Describe the data that will be generated in terms of nature and scale (e.g., numerical data, image data, text sequences, video, audio, database, modeling data, source code, etc..). 4. Describe methods for creating the data (e.g., simulated; observed; experimental; software; physical collections; sensors; satellite; enforcement activities;

researcher-generated databases, tables, and/or spreadsheets; instrument generated digital data output such as images and video; etc..). 5. Discuss the period of time data will be collected and frequency of update. 6. If using existing data, describe the relationship between the data you are collecting and existing data. 7. List potential users of the data. 8.

Discuss the potential value of the data have over the long-term for not only your institution, but also for the public. 9. If you request permission not to make data publicly accessible, explain rationale for lack of public access. 10. Indicate the party responsible for managing the data. 11. Describe how you will check for adherence to this data management plan https://ntl.bts.gov/public-access/creating-data-management-plans-extramural-research 21 Submitted U.S. DOT Public Access

Data Management Plans https://rosap.ntl.bts.gov/collection_pa_dmp 22 Lessons from Submitted DMPS Author/Creator missing from sections DMPs can stand alone Solution: Add organizational information; branding Single research organization; many DMPs; lots of duplicated information Solutions: Master DMP for common responses Project level DMP for project-specific info, link to Master

DOT Narrative DMP not as detailed as needs to be for researchers Solution: Robust project DMPs http://c2smart.engineering.nyu.edu/c2smartpublications/#1534358159826-cb5e9a6e-27fc https://rosap.ntl.bts.gov/view/dot/36367 23 Implementing Data Management Plans 24 Implementing DMPs DMPs are Living Documents

Quarterly reviews Record changes Changes in research plan are expected Version Control Submitted updated DMPs to DOT Plan to manage and share data from the beginning Many small practices Data more useful to you Longer shelf life for data Data more easily shared 25 Topics Covered

Opening U.S. Government-Funded Research Data U.S. DOT Public Access Review Submitting Final Reports and Final Datasets Benefits of Data Management Writing Data Management Plans Implementing Data Management Plans Questions or feedback? Email: [email protected] 26 Resources & Works Cited United States Department of Transportation. Plan to Increase Public Access to the Results of Federally-Funded

Scientific Research. 2015. https://www.transportation.gov/mission/open/official-dot-public-access-plan-v11 United States Department of Transportation, National Transportation Library. DOT Public Access [guidance website]. 2015. https://ntl.bts.gov/public-access United States Department of Transportation, National Transportation Library. Repository & Open Science Access Portal. 2017. https://rosap.ntl.bts.gov University Library, Texas A&M University. Data Management Defined - Research Data Management - Guides at Texas A&M University. Research Data Management, October 1, 2013. http://guides.library.tamu.edu/DataManagement Briney, Kristin. 2015. Data Management for Researchers: Organize, Maintain and Share your Data for Research Success. Vines, Timothy H., Arianne YK Albert, Rose L. Andrew, Florence Dbarre, Dan G. Bock, Michelle T. Franklin, Kimberly J. Gilbert, Jean-Sbastien Moore, Sbastien Renaut, and Diana J. Rennison. The availability of research data declines rapidly with article age. Current biology 24, no. 1 (2014): 94-97. http://doi.org/10.1016/j.cub.2013.11.014 Connected Cities for Smart Mobility towards Accessible Resilient Transportation (C2SMART). 2018. Master Data Management Plan. http://c2smart.engineering.nyu.edu/c2smartpublications/#1534358159826-cb5e9a6e-27fc 27

Thank you for watching! To provide feedback or pose questions related to this TLR, please email: [email protected] For this and other webinars, visit the TLR Archive at: https://rosap.ntl.bts.gov/collection_tlr

Recently Viewed Presentations

  • Title Goes Here

    Title Goes Here

    PAA burden is borne by LSI-VC. LSI-VC POC identified for each Product Family Specification. PFS POC interacts with Data Provider and WGCalVal to . Verify Data Provider's Product Self-Assessment. Obtain the feedback of WGCalVal on the Product's Cal/Val process. CARD4L...
  • The C value paradox - Arkansas State University

    The C value paradox - Arkansas State University

    The C value paradox The C value: total amount of DNA in the genome We would expect that the more complex the organism, the more DNA is needed to "run it" Therefore, we would expect a linear relationship between genome...
  • Heading Managerial Decision Making Learning Objectives  After 3-

    Heading Managerial Decision Making Learning Objectives After 3-

    Combine ideas Managing Group Decision Making Leadership style leader should attempt to minimize process-related problems leader should: avoid dominating the discussion encourage less vocal members to express themselves mitigate pressures for conformity stay alert to groupthink and satisfying prevent group...
  • Main presentation title goes here.

    Main presentation title goes here.

    Julia Kendal 29th October 2013 * If using a school logo, make sure that if you have a long page title, it does not encroach on the logo. Allow about 2cm around the logo. Run the page title onto two...
  • Bahan Kuliah minggu ke 5 Elektronika Dasar SPECIAL

    Bahan Kuliah minggu ke 5 Elektronika Dasar SPECIAL

    Light Amplification by Stimulated Emission of Radiation "Stimulated emission" antonym of "spontaneous emission" optical transition stimulated by the effect of electric field of light wave on the contrary usually emission occur spontaneously without help of electric field What is the...
  • Stylfigure - WordPress.com

    Stylfigure - WordPress.com

    Personifikasie. Om 'n nie-lewende ding met 'n lewende wese (menslik of dierlik) te vergelyk. "Die son glimlag heerlik op ons vandag!" "Wanneer 'n geleentheid aan die deur klop, gryp dit aan!"
  • Mutated Salmonella Enterica

    Mutated Salmonella Enterica

    The use of oleaginous yeast strains for producing lipids from pretreated lignocellulosic biomass. Additionally, some yeast simultaneously produces carotenoids, a value added co-product. ... The strains can also be used to produce ethanol from base- or acid-pretreated switchgrass and other...
  • Lab Roles and Lab Report - Pinecrest Preparatory Academy ...

    Lab Roles and Lab Report - Pinecrest Preparatory Academy ...

    Lab Roles and Their Descriptions. Project Director (PD) The project director is responsible for the group. Reads directions to the group Keeps group on task Is the only group member allowed to talk to the teacher Assists with conducting lab...