{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Amy Wilkins", "hasEmail": "mailto:wilkins.amina@epa.gov"}, "describedBy": "https://pasteur.epa.gov/uploads/10.23719/1520136/documents/Data%20Dictionary.xlsx", "describedByType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "description": "This file contains participant response data to Likert scale, open-ended responses and self-reported time taken to complete various tasks related to the extraction exercise.  This Excel file also contains:\n\n1)\tExamples of the Interactive HAWC Visuals that can be created after extracting data into the template.\n2)\tThe Initial Post-Extraction Survey Tool (\"Survey 1\")\n3)\tThe Final Post-Pilot Survey Tool (\"Survey 2\")\n4)\tSurvey 2 Results: Willingness to Consider Structured Data During Publication Process (Table 2)\n5)\tSurvey 1 Results: Participant Self-Reported Time Spent Performing Various Pilot Tasks (Table 3)\n6)\tSurvey 1 Results:  Summary of Technical Assistance Provided by Team Members (Table 4)\n7)\tSurvey 2 Results: Participant Responses Describing Pilot's Impact on Future Research Activities (Table 5)\n8)\tSurvey 1 Results:  Initial Survey Likert Scale Results (Table 6)\n9)\tRepeat Extraction: Comparison of the First and Second Data Extraction Experience (Among the Same Participant)\n10)\tSurvey 1 Results: Problematic & Easy Fields to Extract. \n\nThis dataset is associated with the following publication:\nWilkins, A., P. Whaley, A. Persad, I. Druwe, J. Lee, M. Taylor, A. Shapiro, N. Blanton, C. Lemeris, and K. Thayer. Assessing author willingness to enter study information into structured data templates as part of the manuscript submission process: A pilot study.   Heliyon. Elsevier B.V., Amsterdam,  NETHERLANDS, 8(3): 1-9, (2022).", "distribution": [{"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520136/Supplemental_10-19-2020.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "title": "Supplemental_10-19-2020.xlsx"}], "identifier": "https://doi.org/10.23719/1520136", "keyword": ["Data extraction", "automated data extraction", "electronic data extraction manuscript submission", "structured data", "data sharing", "natural language processing", "NLP", "semantic authoring", "author opinion", "author feedback", "data summary", "systematic review", "study quality", "study quality reporting", "risk of bias reporting", "study evaluation", "data extraction tool", "data extraction software", "evidence synthesis", "metadata", "metadata tagging", "meta data", "author submission requirements", "machine readable", "knowledge translation", "science translation.", "data template"], "license": "https://pasteur.epa.gov/license/sciencehub-license.html", "modified": "2020-10-19", "programCode": ["020:000"], "publisher": {"name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": {"name": "U.S. Environmental Protection Agency", "subOrganizationOf": {"name": "U.S. Government"}}}, "references": ["https://doi.org/10.1016/j.heliyon.2022.e09095"], "rights": null, "title": "(Data Set) Integrating Study Reporting Templates into the Manuscript Submission Process: A Pilot Data Extraction Exercise Feasibility Study (Authors share their opinions and provide user feedback on their data extraction user experience)."}