This DATSETNAMEreadme.txt file was generated on [2021-04-30] by [Bradley Wade Bishop] ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset Survey Validation of Job Analyses for Science Data Managers 2. Author Information Principal Investigator Contact Information Name: Bradley Wade Bishop Institution: University of Tennessee Address: 1345 Circle Park Dr. Room 454 Communications Bldg. Knoxville, TN 37996 Email: wade.bishop@utk.edu Associate or Co-investigator Contact Information Name: Institution: Address: Email: Alternate Contact Information Name: Institution: Address: Email: 3. Date of data collection (single date, range, approximate date) 2020-11-23 TO 2021-01-18 4. Geographic location of data collection (where was data collected?): 1345 Circle Park Dr. Room 454 Communications Bldg. Knoxville, TN 37996 5. Information about funding sources that supported the collection of the data: Institute of Museum and Library Services’ (IMLS) Laura Bush 21st Century Librarian grant program. Collaborative Analysis Liaison Librarians (RE-13-19-0027-19). 6. Abstract/description of the dataset: This job analysis survey was developed to validate the knowledge, skills, and abilities identified from prior interview studies of Earth science data managers (Bishop and Hank, 2018; Bishop, Orehek, and Collier 2021). These prior studies used qualitative, semi-structured interview method derived from the (Developing a Curriculum) DACUM approach in keeping with FAIR principles (Knapp and Knapp, 1995). 7: Keywords for the dataset (provide 3 - 5): Job Analysis, Data Management, Earth Science Data, Survey -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: CC BY 2. Links to publications that cite or use the data: 3. Links to other publicly accessible locations of the data: 4. Links/relationships to ancillary data sets: 5. Was data derived from another source? If yes, list source(s): 6. Recommended citation for the data: Bishop, B. W. (2021). Data from Job Analyses for Science Data Managers. TRACE Data Sets. --------------------- DATA & FILE OVERVIEW --------------------- 1. File List A. Filename: [Needs Updated File Name] Short description: Spreadsheet of completed responses of 55 participants. B. Filename: Short description: C. Filename: Short description: 2. Relationship between files: 3. Additional related data collected that was not included in the current data package: 4. Are there multiple versions of the dataset? yes/no 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: The DACUM approach used in this study uses a questionnaire derived from the interview schedule of a prior project of scientists in the same domains. The line of questioning in this survey builds on two assumptions: (1) current workers, or subject matter experts (SME), know how to do their jobs and should be the best at describing them; and (2) the best way to define a job is by describing the exact tasks conducted by a worker. The most basic DACUM approach consists of two steps. First, a researcher conducts a series of interviews or focus groups with job incumbents to create a list of knowledge, skills, and abilities (KSA) needed to perform job tasks. Second, this list is converted into a survey for validation among a larger group of similar subject matter experts to create more generalizable data. This study presents the survey validation informed by the earlier interview studies. The survey software Qualtrics was used to send the questionnaire to organizations across the various domains within earth science. Upon IRB approval, participants were recruited in November and December 2020 through the the electronic mailing list of the Federation of Earth Science Information Professionals (ESIP). This organization was selected for purposive and convenient sampling due to the domains targeted in this study and that it is a known community of data professionals. Ultimately, 55 data professionals completed the survey. The timing of the data collection during COVID-19 US surges may have impacted response volume. 2. Methods for processing the data: Qualtrics survey software used to collect data and present responses 3. Instrument- or software-specific information needed to interpret the data: Qualtrics 4. Standards and calibration information, if appropriate: 5. Environmental/experimental conditions: 6. Describe any quality-assurance procedures performed on the data: 7. People involved with sample collection, processing, analysis and/or submission: Collier, Hannnah. Cowan, Matthew. ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: [FILENAME] ----------------------------------------- 1. Number of variables: 2. Number of cases/rows: 3. Variable List A. Name: [variable name] Description: [description of the variable] Value labels if appropriate B. Name: [variable name] Description: [description of the variable] Value labels if appropriate 4. Missing data codes: Code/symbol Definition Code/symbol Definition 5. Specialized formats of other abbreviations used