This DATSETNAMEreadme.txt file was generated on [YYYY-MM-DD] by [Name]


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GENERAL INFORMATION
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1. Title of Dataset 
Data Management Plan Compliance and Evaluation


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) <suggested format YYYY-MM-DD>

2020-23-01 TO 2020-30-03

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:

Faculty Development Leave, 2020.

6. Abstract/description of the dataset:

This paper presents findings from interviews with US Research Integrity Officers (RIOs) on their overall responsibilities as well as perspectives on Data Management Plans (DMPs). DMPs are formal documents describing the roles and activities for managing data during and after research. DMPs are now a required research criterion by many funding agencies globally. A purposive sample of Research Integrity Officers (RIOs) from the top ten US private and public universities were recruited for interviews using an open-ended questionnaire related to their job duties and perspectives on data management plan implementation and evaluation. Responses from twelve participants were conducted, transcribed, anonymized, and coded in NVivo. RIO backgrounds, duties, and perspectives varied, but the study found that RIOs should have more training on research data management as most data-intensive research emerges and DMPs are more commonplace.

7: Keywords for the dataset (provide 3 - 5):

Research Integrity Officer, Data Management Plan, Responsible Conduct of Research, Research Data Management, Interviews


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SHARING/ACCESS INFORMATION
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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. (2020). Data Management Plan Compliance and Evaluation. 


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DATA & FILE OVERVIEW
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1. File List
   A. Filename:        participant_001.doc to participant_012
      Short description:        Transcripts of participants 001 through 012 interviews



        
   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?






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METHODOLOGICAL INFORMATION
--------------------------


1. Description of methods used for collection/generation of data: 
<Include links or references to publications or other docuentation containing experimental design or protocols used in data collection>

A purposive sample of Research Integrity Officers (RIOs) from the top ten US private and public universities were recruited for interviews using an open-ended questionnaire related to their job duties and perspectives on data management plans implementation and evaluation. Responses from twelve participants were conducted, transcribed, anonymized, and coded in NVivo.


2. Methods for processing the data: <describe how the submitted data were generated from the raw or collected 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:


Collier, Hannnah.



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DATA-SPECIFIC INFORMATION FOR: [FILENAME]
-----------------------------------------
<create sections for each dataset (or file if appropriate) included>


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