AU Data Literacy


You are invited to participate in a survey which aims to collect data about the data literacy of academics and research students in higher education institutions. From your responses we will be able to fully understand the current levels of awareness and gaps in knowledge which will help us develop appropriate data literacy training for the higher education community.

Please answer all the questions, and note that this survey is anonymous. It will take approximately 10 minutes to complete the entire survey. By completing this survey you are consenting to the use of your data for research and dissemination purposes. If you have any questions or comments as you are going through the survey, please contact Dr Katherine Howard

Thank you very much for your cooperation!

A note on privacy
This survey is anonymous.
The record of your survey responses does not contain any identifying information about you, unless a specific survey question explicitly asked for it. If you used an identifying token to access this survey, please rest assured that this token will not be stored together with your responses. It is managed in a separate database and will only be updated to indicate whether you did (or did not) complete this survey. There is no way of matching identification tokens with survey responses.

PART I: Demographic Information

1 Your current primary role
Academic staff
Research student
Other: 
2 Your age
18-25
26-35
36-45
46-55
56-65
65+
Don’t want to disclose
3 Your discipline
 In the field "Other", please comply with the classification structure. ie: Social science: political science
4 Your legal gender
Male
Female
Other
Don't want to disclose
5 How long have you been involved in research?
< 5 years
5-10 years
11-15 years
16-20 years
> 20 years
I have never been involved in research
6 Your country
7 Your institution

PART II: Awareness of Data Management Issues

8 Please indicate the file type of data that you normally use for your research
Standard office documents (text, spreadsheets, presentations, etc.)
Structured scientific and statistical data (e.g. SPSS, GIS, etc.)
Encoded text (XML, SGML, etc.)
Internet and web-based data (webpages, e-mails, blogs, social network data, etc.)
Databases (e.g. in Access, Oracle, MySQL, etc.)
Images (JPEG, GIF, TIFF, PNG, etc.)
Audio files
Structured graphics (CAD, CAM, VRML, etc.)
Raw (machine-generated) data
Archived data (ZIP, RAR, ZAR, etc.)
Software applications (modelling tools, editors, compilers, etc.)
Source code (scripting, Java, C, C++, etc.)
Configuration data (parameter settings, logs, library files, etc.)
Non digital data (paper, films, slides, artefacts, etc.)
Other:
 Please choose only one of the following
9 Which of the following better describes the volume of data you use for your research?
MB (megabyte)
GB (gigabyte)
TB (terabyte)
Other: 
10 How do you usually get the data for your research?
Create new data
From own research team/group at the university
From own research network (or personal/professional connections)
Always from one known source
Always from multiple known sources
Search from outside sources (please describe)
11 How do you usually use data that you get from others/outside sources?
As it is without any problems
With a bit of effort for some cleaning and/or modifications
After spending a lot of time and efforts to make it usable for the project
I do not use data from others/outside sources
12 What type of data do you produce from your research?
Standard office documents (text, spreadsheets, presentations, etc.)
Structured scientific and statistical data (e.g. SPSS, GIS, etc.)
Encoded text (XML, SGML, etc.)
Internet and web-based data (webpages, e-mails, blogs, social network data, etc.)
Databases (e.g. in Access, Oracle, MySQL, etc.)
Images (JPEG, GIF, TIFF, PNG, etc.)
Audio files
Structured graphics (CAD, CAM, VRML, etc.)
Raw (machine-generated) data
Archived data (ZIP, RAR, ZAR, etc.)
Software applications (modelling tools, editors, compilers, etc.)
Source code (scripting, Java, C, C++, etc.)
Configuration data (parameter settings, logs, library files, etc.)
Non digital data (paper, films, slides, artefacts, etc.)
Other:
13 Which of the following better describes the volume of data you produce from your research?
MB (megabyte)
GB (gigabyte)
TB (terabyte)
Other: 
14 Where do you usually store the data you produce from your research?
Your own devices (your computer, your tablet, external drive, etc.)
Cloud
Central servers/repositories of the university
Outside repositories
Other:
15 Do you normally assign any additional information to your research data
Administrative information (e.g. creator, date of creation, file name, access terms/restrictions, etc.)
Discovery information (e.g. creator, funding body, project title, project ID, keywords, etc.)
Technical information (e.g. file format, file size, software/hardware needed to use the data, etc.)
Description of the data file (e.g. file/data structure, field tags/descriptions, application rules, etc.)
No, I do not assign additional information to my research data
16 Do you collaborate with other researchers and share data?
No
Yes, with researchers in the same team
Yes, with researchers in the same university
Yes, with researchers in other institutions
Any other (Please specify)
17 Which of the following applies to your research data
My data is openly available to everyone
My data is openly available only to my research team
My data is available openly upon request
My data has restricted access (e.g. only some parts of the dataset is accessible)
My data is not available to anyone else
18 Do you have any concerns for sharing data with others
No concerns
Fear of losing the scientific edge
Legal and ethical issues
Misuse of data
Misinterpretation of data
Lack of resources (technical, financial, personnel, etc.)
Lack of appropriate policies and rights protection
Any other (Please specify)
19 Please answer the following questions
  Yes Uncertain No
Does your institution have a Data Management Plan (DMP)?
Yes
Uncertain
No
Have you ever used a DMP for your research?
Yes
Uncertain
No
Do you have a DMP for your current research project(s)?
Yes
Uncertain
No
Do you think a DMP actually helps researchers in managing research data?
Yes
Uncertain
No
Are you familiar with the term metadata?
Yes
Uncertain
No
Do you think a formal training on metadata would be useful for managing research data?
Yes
Uncertain
No
Does your university have a prescribed metadata set for uploading data to a repository?
Yes
Uncertain
No
Does your research community use/recommend any standard file naming system?
Yes
Uncertain
No
Does your university have a standard/consistent file naming system?
Yes
Uncertain
No
Do you use any standard style for citing research data?
Yes
Uncertain
No
Are you familiar with the concept of Digital Object Identifier (DOI)?
Yes
Uncertain
No
Does your university recommend any specific guideline for citing data (e.g. APA, Harvard, etc.)?
Yes
Uncertain
No
Have you got any unique researcher identification (like ORCID=Open Researcher and Contributor ID)?
Yes
Uncertain
No
Does your university actively encourage you to share data on open access (OA) mode?
Yes
Uncertain
No
Are you familiar with your university and/or funding body’s requirements with regard to data storage?
Yes
Uncertain
No
20 How often do you practice the following?
  Almost Always Often Sometimes Rarely Never
Using metadata standard for tagging your data
Almost Always
Often
Sometimes
Rarely
Never
Using your own/in-house (your research team) tags and metadata
Almost Always
Often
Sometimes
Rarely
Never
Using datasets that are tagged with standard metadata
Almost Always
Often
Sometimes
Rarely
Never
Using file naming convention or standard
Almost Always
Often
Sometimes
Rarely
Never
Having different versions of the same dataset(s)
Almost Always
Often
Sometimes
Rarely
Never
Using systems/techniques for version control to easily recognise a specific version
Almost Always
Often
Sometimes
Rarely
Never
Citing research data
Almost Always
Often
Sometimes
Rarely
Never
Working with data that are generally in the public domain
Almost Always
Often
Sometimes
Rarely
Never
Working with data that have restricted access?
Almost Always
Often
Sometimes
Rarely
Never
21 How strongly do you agree or disagree with the following
  Strongly Agree Agree Neither Agree nor Disagree Disagree Strongly Disagree
I am familiar with the open access requirements
Strongly Agree
Agree
Neither Agree nor Disagree
Disagree
Strongly Disagree
I am comfortable and willing to share my research data with others
Strongly Agree
Agree
Neither Agree nor Disagree
Disagree
Strongly Disagree
I foresee no problems with sharing my research data?
Strongly Agree
Agree
Neither Agree nor Disagree
Disagree
Strongly Disagree
I perceive data ethics could be an issue when research data is shared with others
Strongly Agree
Agree
Neither Agree nor Disagree
Disagree
Strongly Disagree
I would like to store my research datasets beyond the lifetime of the project
Strongly Agree
Agree
Neither Agree nor Disagree
Disagree
Strongly Disagree
Every university should have a Data Management Plan
Strongly Agree
Agree
Neither Agree nor Disagree
Disagree
Strongly Disagree
Every university should have a prescribed metadata set for uploading data into a repository
Strongly Agree
Agree
Neither Agree nor Disagree
Disagree
Strongly Disagree
Universities should recommend and use a standard file naming system
Strongly Agree
Agree
Neither Agree nor Disagree
Disagree
Strongly Disagree
22 In your opinion who should pay for storage and public access to the data set that you created?
Yourself/your team
Your university
The funding body
A national body
Other:
23 Where should the data be stored for long term access?
At your university
With the funding body
At external storage (unpaid)
At external storage (paid)
Other (Please specify)
24 Have you had a formal training on the following
Data Management Plan
Metadata
Consistent file naming
Version control of data sets
Data citation styles
No, I haven’t had training on any of the above
25 Would you like to have a formal training on the following
Data Management Plan
Metadata
Consistent file naming
Version control of data sets
Data citation styles
No, I am not interested
Other (Please specify)
26 Any additional information and/or comment you would like to provide related to data management in research