This codebook.txt file was generated on 20220125 by Jasmine Clark ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset 3D Data Creation to Curation: Community Standards for 3D Data Preservation, Chapter 4: Metadata Requirements for 3D Data, Appendix: Survey 1 Results and Survey 2 Results 2. Author Information Principal Investigator Contact Information Name: Jon Blundell Institution: Smithsonian Institution Address: 600 Maryland Ave SW, Washington, DC 20024 Email: BlundellJ@si.edu Associate or Co-investigator Contact Information Name: Jasmine L. Clark Institution: Temple University Address: 1900 N 13th St, Philadelphia, PA 19122 Email: jasmine.l.clark@temple.edu Associate or Co-investigator Contact Information Name: Katherine E. DeVet Institution: Texas Tech University Address: University Libraries, 2802 18th Street, Lubbock, TX 79409 Email: K.E.DeVet@ttu.edu Associate or Co-investigator Contact Information Name: Juliet L. Hardesty Institution: Indiana University Address: Herman B Wells Library, 1320 East 10th Street, Bloomington, IN 47405 Email: jlhardes@iu.edu 3. Date of data collection (single date, range, approximate date) 2018-2019 4. Geographic location of data collection (where was data collected?): Online 5. Information about funding sources that supported the collection of the data: CS3DP project received funding from the Institute of Museum and Library Services. The working group that conducted these surveys is part of that project. 6. Contextual description of the data: Spreadsheet of data shared from institutions and organizations and PDF summary from Google form -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: Creative Commons 0 "No Rights Reserved". https://creativecommons.org/share-your-work/public-domain/cc0/ 2. Links to publications that cite or use the data: not applicable 3. Links to other publicly accessible locations of the data: not applicable 4. Links/relationships to ancillary data sets: not applicable 5. Was data derived from another source? no If yes, list source(s): 6. Recommended citation for the data: Moore, Jennifer, Adam Rountrey, and Hannah Scates Kettler. 2022. “Appendix: Survey 1 Results and Survey 2 Results.” In Chapter 4: Metadata Requirements for 3D Data. 3D Data Creation to Curation: Community Standards for 3D Data Preservation. Association of College & Research Libraries. --------------------- DATA & FILE OVERVIEW --------------------- 1. File List A. Filename: 3D_Fields.xlsx Short description: Results from Survey 1 showing metadata fields used by different institutions for 3D digital objects. See data-specific section for more information. B. Filename: cs3dpMetadataAppendixSurvey2.pdf Short description: Results from Survey 2 responses to Google form asking about metadata fields used in different activities of the Digital Asset Lifecycle. C. Filename: 3D_Fields_CS3DP-Metadata-Working-Group.zip Short description: Zip file containing File A and B. 2. Relationship between files: Each file represents results from 2 separate surveys that were conducted regarding metadata needs for 3D digital object preservation. 3. Additional related data collected that was not included in the current data package: Not applicable 4. Are there multiple versions of the dataset? no If yes, list versions: Name of file that was updated: i. Why was the file updated? ii. When was the file updated? Name of file that was updated: i. Why was the file updated? ii. When was the file updated? -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: Survey 1 results summarized from email responses with example data. Survey 2 results from Google Form responses. 2. Methods for processing the data: Survey 1 responses were often in spreadsheet format already. They are provided in the first 5 tabs and then the following tabs show groupings of common information across responses based on the Digital Asset Lifecycle. 3. Instrument- or software-specific information needed to interpret the data: Survey 1 - Microsoft Excel or Google Spreadsheets - multiple sheets with color-coded cells used to help organize data in sheets Survey 2 - PDF reader (Adobe Acrobat, web browser, Preview) 4. Standards and calibration information, if appropriate: not applicable 5. Environmental/experimental conditions: not applicable 6. Describe any quality-assurance procedures performed on the data: none 7. People involved with sample collection, processing, analysis and/or submission: Same as Author Information ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: 3D_Fields.xlsx ----------------------------------------- 1. Number of variables: 0 2. Number of cases/rows: 6 responses total 3. Missing data codes: none 4. Variable List: not applicable 5. Sheets and categories explanation: There are six sheets in the excel file that are each a response to the survey. Other sheets detail an analysis of metadata categories and reference the response sheets. The xlsx file contains all the submitted fields (fields that respondents indicated were in use in their work) from the survey, sheets categorizing and organizing those fields, and sheets analyzing the compatibility of tools and schemas with those categorized fields. The metadata categories within the sheet are: Project Level, Model/Data Level, Pre-Processing/Processing, *Capture, and Original Item. Due to capture methods varying by discipline, there are 3 subdivisions of the capture data: MicroCT, Medical CT, and Photogrammetry. The different metadata sheets contain columns that represent specific metadata fields that are categorized by type (e.g., the "title" field being listed under "Create ModelData"). In order to track which responses use which fields, the corresponding response is listed in that column (e.g. all survey responses that indicate use of a title field are listed in the "title" column). ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: cs3dpMetadataAppendixSurvey2.pdf ----------------------------------------- 1. Number of variables: 0 2. Number of cases/rows: 10 responses total 3. Missing data codes: none 4. Variable List: not applicable