This DATSETNAMEreadme.txt file was generated on [2020-06-09] by [Bradley Wade Bishop] ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset Job analyses of earth science data librarians and 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 3. Date of data collection (single date, range, approximate date) 2020-02-05 TO 2020-03-12 4. Geographic location of data collection (where was data collected?): University of Tennessee 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 (RE-13-19-0027-19). 6. Abstract/description of the dataset: Information professionals working with science data find, access, and make interoperable machine-actionable data for scientists across domains and organizations. Data librarians and data managers facilitate scientific advancement and the requisite skills required to perform their work changes with technology. This study’s purpose is to capture the skills of science data librarians and data managers by interviewing current job incumbents. Job analysis interviews were conducted of twelve participants –six librarians and six data managers—to assess the types and frequencies of job tasks. Science data managers identified tasks related to communication, including collaboration, teaching, and project management activities. Data specific tasks included data discovery, processing and curation, which require an understanding of the data, technology, and information infrastructures to support data use, re-use and preservation. Most respondents had formal science education, but only five had a master’s degree in information sciences. Most of the knowledge, skills, and abilities for these workers were acquired through on-the-job experience, but future professionals in this career may benefit from tailored education informed through job analyses. 7: Keywords for the dataset (provide 3 - 5): Data librarianship, Research Data Management, Job analyses -------------------------- 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., Orehek, A. M., & Collier, H. R. (2020). Job Analyses of Science Data Librarians and Data Managers. --------------------- DATA & FILE OVERVIEW --------------------- 1. File List A. Filename: ESCI-lib-dm-Participant001_transcription Short description: Transcript of participant 001 interview B. Filename: ESCI-lib-dm-Participant002_transcription Short description: Transcript of participant 002 interview C. Filename: ESCI-lib-dm-Participant003_transcription Short description: Transcript of participant 003 interview D. Filename: ESCI-lib-dm-Participant004_transcription Short description: Transcript of participant 004 interview E. Filename: ESCI-lib-dm-Participant005_transcription Short description: Transcript of participant 005 interview F. Filename: ESCI-lib-dm-Participant006_transcription Short description: Transcript of participant 006 interview G. Filename: ESCI-lib-dm-Participant007_transcription Short description: Transcript of participant 007 interview H. Filename: ESCI-lib-dm-Participant008_transcription Short description: Transcript of participant 008 interview I. Filename: ESCI-lib-dm-Participant009_transcription Short description: Transcript of participant 009 interview J. Filename: ESCI-lib-dm-Participant010_transcription Short description: Transcript of participant 010 interview K. Filename: ESCI-lib-dm-Participant011_transcription Short description: Transcript of participant 011 interview L. Filename: ESCI-lib-dm-Participant012_transcription Short description: Transcript of participant 012 interview 2. Relationship between files: All interivews of participants 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 includes a qualitative, semi-structured interview method. A sample of convenience was used and only participants who are currently employed as science data librarians or data managers and at least 18 years or older, were recruited through the Atmospheric Science Librarians International (ASLI), Federation of Earth Science Information Partners (ESIP), and at other science conferences with data managers in attendance. IRB approval was gained prior to any recruitment for data collection. Email recruitment was distributed via organization listservs with permission of organization leadership and personal contacts were recruited at science conferences. 2. Methods for processing the data: open coding of transcripts 3. Instrument- or software-specific information needed to interpret the data: NVivo 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: Orehek, Ashley Marie, & & Collier, Hannah R. ----------------------------------------- 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