This is the quantitative data for the article "Doctoral Students' Educational Needs in Research Data Management: Perceived Importance and Current Competencies" (Rantasaari, 2021) in the journal "International Journal of Digital Curation" vol. 16, iss. 1. DOI: https://dx.doi.org/10.2218/ijdc.v16i1.0

Licence: CC-BY Jukka Rantasaari, University of Turku

Reference to this data set:

Rantasaari, J. (2020). Perceptions of doctoral students current research data management competencies and the perceived importance of these competencies. [Data set]. Meyrin, Switzerland: Zenodo. https://doi.org/10.5281/zenodo.3668647

Scales for the answers in the CSV files:

File: RDM_importance_2020_02_CSV (Perception of the importance of the competence):

Importance of the RDM Question for doctoral students: Please indicate how important you believe it is for you to be knowledgeable in each of the competencies listed below by the time you graduate.

Importance of the RDM Question for faculty members: Please indicate how important you believe it is for your students to be knowledgeable in each of the competencies listed below by the time they graduate by choosing a response below.

Scale:

Perceived importance of competence: 
1=not important; 
2=somewhat important; 
3=important; 
4=very important; 
5=essential

File: RDM_competencies_2020_02_CSV (Perception of the current RDM competence):

Question for doctoral students concerning their current RDM competencies: Please indicate how well do you think you will manage the competence now.

Question for faculty members concerning doctoral studentsŐ current RDM competencies: Please indicate your perception of the present competencies of your students.

Scale:

Doctoral student/s perceived (self-rated/rated) current competence:
1=do not have; 
2=some; 
3=good; 
4=very good; 
5=ultimate

Likert-questions (defined in the interview forms):

Discovery and Acquisition of Data: importance
Discovery and Acquisition of Data: competence
Databases and Data Formats: Importance
Databases and Data Formats: Competence
Data Conversion and Interoperability: Importance
Data Conversion and Interoperability: Competence
Data Processing and Analysis: Importance
Data Processing and Analysis: Competence
Data Visualization and/or Representation: Importance
Data Visualization and/or Representation: Competence
Data Management and Organization: Importance
Data Management and Organization: Competence
Data Quality and Documentation: Importance
Data Quality and Documentation: Competence
Metadata and Data Description: Importance
Metadata and Data Description: Competence
Cultures of Practice: Importance
Cultures of Practice: Competence
Ethics and Attribution: Importance
Ethics and Attribution: Competence
Data Curation and Re-use: Importance
Data Curation and Re-use: Competence
Data Preservation: Importance
Data Preservation: Competence