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New Zealand

  1. Education and academic field
  2. Professional developer
  3. How time is spent
  4. Previous employment
  5. Collaboration and training
  6. Publications and citations
  7. Open source and DOI
  8. Good practices
  9. Tools and programming languages
  10. Job satisfaction
  11. Research software engineer

Education and academic field

This section contains the information about the type of education the participants have, as well as their highest degree obtained.

We asked the participants, in which field they are working. With that question, it is possible to see which current field employed the most of RSE/RSD. The questions was specific to each country and was multiple choice. Each participant could choose several fields. We then calculate the different proportion by dividing each field by the total of participants that have selected at least one option.

Questions in this section

  • What is the highest level of education you have attained? (one choice list)
  • In which discipline is your highest academic qualification? (one choice list)
  • Which professional qualification do you hold? (free text)

Levels of education

Highest level of education for New Zealand Count Percentage
Doctorate 14 37.8378
Master degree 10 27.027
Undergraduate degree 10 27.027
Further Education (NVQ A-Level, …) 2 5.40541
Other 1 2.7027

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2021-08-04T21:03:42.354572 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 5 10 15 20 25 30 35 Doctorate Undergraduate degree Master degree Further Education (NVQ A-Level, ...) Other Highest level of education, New Zealand

Academic field for education and professional development

Alongside of question about education level we also asked the participants in which field they finished their highest level of education. Here again the propositions were specific to each countries so the comparison is difficult despite lot of overlapping in the categories.

Field of education for New Zealand Count Percentage
Computer Science 11 29.7297
Biological Sciences 7 18.9189
Mathematics 4 10.8108
Physics and Astronomy 4 10.8108
Business & Management Studies 2 5.40541
Mechanical Engineering 2 5.40541
Electrical & Electronic Engineering 2 5.40541
Civil Engineering 1 2.7027
Chemistry 1 2.7027
General Engineering 1 2.7027
Geography & Environmental Sciences 1 2.7027
Chemical Engineering 1 2.7027

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2021-08-04T21:03:52.152942 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 5 10 15 20 25 30 Computer Science Biological Sciences Physics and Astronomy Mathematics Electrical & Electronic Engineering Mechanical Engineering Business & Management Studies Chemical Engineering Geography & Environmental Sciences General Engineering Chemistry Civil Engineering Field of education, New Zealand 2021-08-04T21:03:53.238236 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ Professional qualification, New Zealand

Academic field of work

field of work for New Zealand Count Percentage
Computer Science 17 45.9459
Geography & Environmental Sciences 15 40.5405
Biological Sciences 10 27.027
Physics and Astronomy 9 24.3243
Mathematics 7 18.9189
Civil Engineering 5 13.5135
Mechanical Engineering 4 10.8108
General Engineering 4 10.8108
Electrical & Electronic Engineering 4 10.8108
Geology 3 8.10811
Materials Technology 3 8.10811
Chemistry 3 8.10811
Agriculture & Forestry 3 8.10811
Education 2 5.40541
Aeronautical & Manufacturing Engineering 2 5.40541
Linguistics 2 5.40541
Medicine 2 5.40541
Psychology 1 2.7027
Robotics 1 2.7027
Social Work 1 2.7027
Accounting & Finance 1 2.7027
History 1 2.7027
Communication & Media Studies 1 2.7027
Chemical Engineering 1 2.7027
Art & Design 1 2.7027
Anthropology 1 2.7027
Anatomy & Physiology 1 2.7027
Youth Work 1 2.7027

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2021-08-04T21:04:09.212504 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 10 20 30 40 Computer Science Geography & Environmental Sciences Biological Sciences Physics and Astronomy Mathematics Civil Engineering Mechanical Engineering General Engineering Electrical & Electronic Engineering Agriculture & Forestry Geology Materials Technology Chemistry Education Aeronautical & Manufacturing Engineering Linguistics Medicine Anatomy & Physiology Psychology Robotics Social Work Accounting & Finance History Communication & Media Studies Chemical Engineering Art & Design Anthropology Youth Work field of work, New Zealand

Professional developer

In this section we investigate the relationship between RSEs/RSDs and their own experience in software development Understandably, we expect them having several years of software development experience. However, as shown in previous years, it is not necessarily reflected upon their own feeling of being considered as professional.

Questions in this section:

  • Do you consider yourself a professional software developer? (Yes/No)
  • How many years of software development experience do you have? (integer)

How many professional developers?

Professional developer for New Zealand Count Percentage
Yes 24 66.6667
No 12 33.3333

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2021-08-04T21:05:07.773121 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 10 20 30 40 50 60 70 Yes No Professional developer, New Zealand

Years of software development experience

How many years of software development experience for New Zealand (without 95 percentile) Results in 2018
count 35
mean 14.5143
std 9.74792
min 1
25% 5.5
50% 15
75% 21
max 30

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2021-08-04T21:05:08.324160 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 2018 Year 0 5 10 15 20 25 30 Value 0 10 20 30 Value 0 2 4 6 8 Count Year 2018 How many years of software development experience for New Zealand (without 95 percentile)

How time is spent

RSE/RSE are supposed to be an hybrid role, compared to pure software developer. They bring a knowledge from their field but also are developing software. To capture this different tasks they may do during their work, we asked them how they spend their time but also how they wish to spend their time to investigate any difference between what they do and what they want to do.

How to read the plots

Respondents were asked how much time is spent in a particular activity using a Likert scale from from 1 (None at all) to 10 (All my time).

The same questions asked them how much time they wanted to spend on these activities. With that it was possible to see if discrepancies exist between what they actually do and what they want to do.

To read the results, when the bars shift to the right (in blue), it means they reported positive values (from 6 to 10); when the bars are on the left (in red), it means they reported more negative values (relative to the scale). Each bar has a number that represents the percentage of participants that selected that value. The total bar represents 100%.

To calculate the difference between what they want and what they do, we subtract the answers to the the time that they wished to have spent from the the answer to actual time spent. It is therefore possible to understand the results as:

  1. The result is zero: The time spent matches, they do as much as they want.
  2. The result is negative: They wish to spend less time to do that activity
  3. The result is positive: They wish to spend more time to do that activity

Questions in this section

All questions were asked on a 1 to 10 Likert scale.

  • On average, how much of your time is spent developing software?
  • On average, how much of your time is spent on research?
  • On average, how much of your time is spent on management?
  • On average, how much of your time is spent on teaching?
  • On average, how much of your time is spent on other activities?
2021-08-04T21:03:31.205560 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ Percentage Developing software Research Management Teaching Other activities 11 27 68 14 5 19 46 22 35 8 27 16 8 27 8 8 8 14 8 19 5 16 5 5 14 22 5 16 Time spent 1 2 3 4 5 6 7 8 9 10 Percentage Developing software Research Management Teaching Other activities 6 53 46 18 11 39 31 38 8 22 14 29 17 19 6 6 14 14 6 6 11 6 11 6 31 6 8 Time wish to spent 1 2 3 4 5 6 7 8 9 10 100 90 80 70 60 50 40 30 20 10 0 10 20 30 40 50 60 70 80 90 100 Percentage Developing software Research Management Teaching Other activities 6 8 6 6 19 31 24 44 47 53 69 53 22 25 9 12 22 6 9 6 Difference between time spent and wish -5.0 -3.0 -2.0 -1.0 0.0 1.0 2.0 3.0 4.0 5.0 New Zealand: Difference between time wish to spent and actually spent for each type of activity

Previous employment

Several questions were about the participants’ previous job. The idea is to collect insights of their career path and understand what their motivations are to be an RSE.

We also asked the participants to rank the reasons why they chose their actual position among 8 different ones:

  • Desire to work in a research environment
  • Freedom to choose own working practices
  • Desire to advance research
  • I want to learn new skills
  • Opportunity to develop software
  • Flexible working hours
  • Ability to work across disciplines
  • Opportunity for career advancement
  • The salary

Questions in this section

  • Where was your previous job based? (single choice)
  • What were the reasons to choose the current job? (ranking)

Where the previous job was based

Where the previous job was based for New Zealand Count Percentage
University 14 40
Private company 8 22.8571
Government 5 14.2857
Non-profit organization 4 11.4286
National laboratory 3 8.57143
Other 1 2.85714

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2021-08-04T21:05:21.161112 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 5 10 15 20 25 30 35 40 University Private company Government Non-profit organization National laboratory Other Where the previous job was based, New Zealand

What were the reasons to choose the current job

Reasons to choose current job Rank 1 Rank 2 Rank 3 Rank 4 Rank 5 Rank 6 Rank 7 Rank 8
Desire to work in a research environment 22.2222 13.8889 19.4444 nan 11.1111 nan nan nan
Freedom to choose own working practices 22.2222 5.55556 nan 11.1111 13.8889 nan nan nan
Desire to advance research 13.8889 5.55556 19.4444 8.33333 11.1111 nan nan nan
Opportunity to develop software 13.8889 22.2222 11.1111 19.4444 8.33333 nan nan nan
The salary 8.33333 5.55556 2.77778 16.6667 2.77778 nan nan nan
Ability to work across disciplines 5.55556 8.33333 13.8889 13.8889 5.55556 nan nan nan
I want to learn new skills 5.55556 13.8889 11.1111 16.6667 19.4444 nan nan nan
Opportunity for career advancement 5.55556 5.55556 2.77778 5.55556 16.6667 nan nan nan
Flexible working hours 2.77778 19.4444 19.4444 8.33333 11.1111 nan nan nan

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2021-08-04T21:05:21.797817 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 20 40 60 80 100 Ranking of importance Rank 1 Rank 2 Rank 3 Rank 4 Rank 5 Percentage 22 14 19 11 22 6 11 14 14 6 19 8 11 14 22 11 19 8 8 6 17 6 8 14 14 6 6 14 11 17 19 6 6 6 17 19 19 8 11 Reasons to choose current job: New Zealand Desire to work in a research environment Freedom to choose own working practices Desire to advance research Opportunity to develop software The salary Ability to work across disciplines I want to learn new skills Opportunity for career advancement Flexible working hours

Collaboration and training

Questions in this section:

  • Who uses the code that you write? (one choice)
  • Do you always work with the same researchers, or do you regularly change the researchers you work with? (one choice)
  • Are you part of a dedicated research software group within your institution? (yes-no)
  • How many software projects are you currently involved in? (numeric)
  • How many software developers typically work on your projects? (numeric)
  • On average, how many times a year do you take part in providing training? (numeric)
  • What training programs are you involved with (comma separated list, e.g., Software Carpentry, local university training, etc.)? (free text)

Developing code for others

developing code for others for New Zealand Count Percentage
0 - Mostly me 1 2.7027
1 3 8.10811
2 6 16.2162
3 9 24.3243
4 6 16.2162
5 - Mostly other people 12 32.4324

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2021-08-04T21:02:40.878460 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 5 10 15 20 25 30 5 - Mostly other people 4 3 2 1 0 - Mostly me developing code for others, New Zealand

Working with same researchers

Working with same researchers for New Zealand Count Percentage
Different researchers, same research group 3 8.82353
Regularly change researcher(s) 14 41.1765
Same researcher(s) 17 50

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2021-08-04T21:02:41.156128 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 10 20 30 40 50 Same researcher(s) Regularly change researcher(s) Different researchers, same research group Working with same researchers, New Zealand

Part of dedicated group

member of a dedicated group for New Zealand Count Percentage
No 20 58.8235
Yes 14 41.1765

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2021-08-04T21:02:41.381908 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 10 20 30 40 50 60 Yes No member of a dedicated group, New Zealand

Number of projects

Number of software projects for New Zealand Count Percentage
0 1 3.125
1 3 9.375
2 7 21.875
3 10 31.25
4 1 3.125
5 7 21.875
6 2 6.25
8 1 3.125

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2021-08-04T21:02:41.697249 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 5 10 15 20 25 30 8.0 6.0 5.0 4.0 3.0 2.0 1.0 0.0 Number of software projects, New Zealand
Number of software developers per projects for New Zealand Count Percentage
1 13 39.3939
2 15 45.4545
3 1 3.0303
5 3 9.09091
6 1 3.0303

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2021-08-04T21:02:41.985478 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 10 20 30 40 6.0 5.0 3.0 2.0 1.0 Number of software developers per projects, New Zealand

Training

Number of time per year providing training for New Zealand (without 95 percentile) Results in 2018
count 32
mean 1.07812
std 1.23203
min 0
25% 0
50% 1
75% 2
max 5

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2021-08-04T21:02:42.677460 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 2018 Year 0 1 2 3 4 5 Value 0 1 2 3 4 5 Value 0 2 4 6 8 10 12 14 Count Year 2018 Number of time per year providing training for New Zealand (without 95 percentile) 2021-08-04T21:02:43.857696 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ Number of time per year providing training, New Zealand

Publications and citations

RSEs is an hybrid role between a researcher and a software developer. We investigated both of these aspects concerning publication and dissemination of their work, one on the traditional aspect of it (publications and conference).

One essential aspect of career in academia is the publications and the conferences to gain recognition. However, the role of RSE being less about writing articles than creating the infrastructure and the software for the article to exist, there is some fear that they will fail to have recognition through the papers and conferences.

Questions in the section:

  • In general, when your software contributes to a paper, are you acknowledged in that paper? (one choice)
  • Have you presented your software work at a conference or workshop? (yes-no)
  • At which conference(s)/workshop(s) have you presented your software work? (free text)

Acknowledgment in paper

Acknowledgment in paper for New Zealand Count Percentage
Not mentioned at all 6 17.6471
Acknowledged in the main text 3 8.82353
Acknowledged in acknowledgements section 7 20.5882
Named as co-author 15 44.1176
Named as main author 3 8.82353

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2021-08-04T21:03:10.767676 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 10 20 30 40 Named as main author Named as co-author Acknowledged in acknowledgements section Acknowledged in the main text Not mentioned at all Acknowledgment in paper, New Zealand

Participation in conferences

Did you participate in conference for New Zealand Count Percentage
Yes 18 56.25
No 14 43.75

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2021-08-04T21:03:10.974981 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 10 20 30 40 50 Yes No Did you participate in conference, New Zealand

Conference name

2021-08-04T21:03:12.139710 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ Did you participate in conference, New Zealand

Open source and DOI

RSEs is an hybrid role between a researcher and a software developer. We investigated both of these aspects concerning publication and dissemination of their work, one on the traditional aspect of it (publications and conference) and, as developed here, on the more software aspect (open source and DOI).

We asked the participants if they have ever released their work under open source licence but also questions about the referencing system. We asked them how often they reference software, and if they use DOI for it, and which tools for it.

We also asked them if they have an ORCID ID, a system that gives a unique reference ID for the researcher.

Questions in this section:

  • How often do you use an open-source licence for your software? (likert scale)
  • How often do you reference software directly or the papers describing the software? (likert scale)
  • How often do you associate your software with a Digital Object Identifier (DOI)? (likert scale)
  • Which tools do you use to mint a DOI (e.g. local library, Zenodo)? (free text)
  • Do you have an ORCID ID? (yes-no)

Open source use

Open source use for New Zealand Count Percentage
1 (None at all) nan nan
2 2 5.88235
3 1 2.94118
4 nan nan
5 1 2.94118
6 2 5.88235
7 4 11.7647
8 2 5.88235
9 5 14.7059
10 (All the time) 17 50

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2021-08-04T21:01:59.862575 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 10 20 30 40 50 10 (All the time) 9 8 7 6 5 4 3 2 1 (None at all) Open source use, New Zealand

Referencing software

Citation of software for New Zealand Count Percentage
1 (None at all) nan nan
2 4 11.7647
3 4 11.7647
4 1 2.94118
5 4 11.7647
6 2 5.88235
7 1 2.94118
8 3 8.82353
9 1 2.94118
10 (All the time) 10 29.4118

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2021-08-04T21:02:01.487560 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 5 10 15 20 25 30 10 (All the time) 9 8 7 6 5 4 3 2 1 (None at all) Citation of software, New Zealand

Use of Digital Object Identifier (DOI)

Use of Digital Object Identifier for New Zealand Count Percentage
1 (None at all) nan nan
2 1 2.94118
3 4 11.7647
4 1 2.94118
5 1 2.94118
6 2 5.88235
7 nan nan
8 1 2.94118
9 2 5.88235
10 (All the time) 1 2.94118

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2021-08-04T21:02:03.185908 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 2 4 6 8 10 12 10 (All the time) 9 8 7 6 5 4 3 2 1 (None at all) Use of Digital Object Identifier, New Zealand

Tools used for DOI

2021-08-04T21:02:04.009612 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ Which tool is used for Digital Object Identifier, New Zealand

ORCID

Using ORCID for New Zealand Count Percentage
Yes 20 62.5
No 6 18.75

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2021-08-04T21:02:04.483417 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 10 20 30 40 50 60 Yes No Using ORCID, New Zealand

Good practices

This section comprises sections that focus on the technical and development aspects of the RSEs’ work. They aim to understand good practices in developing software.

We chose two broad measures to provide an insight into sustainability: the bus factor and technical hand over planning.

  • The bus factor is a measure of the number of developers who understand a specific software project and could, with only a cursory review of the project, maintain or extend the code. A project with a bus factor of 1 is completely reliant on only one developer. If this developer finds new employment, becomes ill or is hit by the titular bus, then the project will fail. A high bus factor provides some confidence that the project can be sustained even if a developer leaves.

  • A technical hand over plan is used to introduce a new developer to a software project. These plans cover basic information, such as the license and location of the software, a repository, a description of the software architecture, a summary of development plans and any other information that a new developer would need to understand the software. A project that has written (and maintained) a technical hand over plan can withstand the departure of a developer, even a key developer, significantly better than one without such a plan.

Developing software requires a set of good practices to ensure the quality of the subsequent analysis as well as the robustness of the developed software, to name a few of important aspects. We wanted to see if the implementation of some simple but essential good practices were a reality beside the bus factor and technical hand over planning.

When developing software, version control and testing can be seen as tool to enhance the quality of the developed software, especially considering the importance of code review and sharing in public funded places such as academia.

For testing, we asked the participants to choose any of the following testing methods:

  • Test engineers conduct testing
  • Developers conduct testing
  • Users conduct testing
  • No formal testing

Obviously, the test engineers conduct testing is the most robust testing method but may not be possible in smaller projects while no formal testing should not occur in any ideal scenario, regardless of the size of the project.

We also asked the participants if they use any version control tools through a list of choice. And finally we asked them which repository they are currently using for their most important project.

Bus factor

Bus factor for New Zealand Count Percentage
1 23 67.6471
2 6 17.6471
3 3 8.82353
4 1 2.94118
5 1 2.94118

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2021-08-04T21:01:28.520177 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 10 20 30 40 50 60 70 5.0 4.0 3.0 2.0 1.0 Bus factor, New Zealand

Presence of transition plan

Presence of transition plan for New Zealand Count Percentage
Yes 3 8.82353
No 31 91.1765

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2021-08-04T21:01:28.722503 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 20 40 60 80 No Yes Presence of transition plan, New Zealand

Use of version control

Use of version control for New Zealand Count Percentage
Git 33 89.1892
SVN 9 24.3243
Mercurial 1 2.7027
CVS 0 0
None 0 0

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2021-08-04T21:01:28.979994 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 20 40 60 80 Git SVN Mercurial None CVS Use of version control, New Zealand

Testing strategies

Testing strategies for New Zealand Count Percentage
No formal testing 6 16.2162
No formal testing but users provide feedback 15 40.5405
The developers do their own testing 29 78.3784
Test engineers conduct testing 0 0

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2021-08-04T21:01:29.261872 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 10 20 30 40 50 60 70 80 Test engineers conduct testing The developers do their own testing No formal testing but users provide feedback No formal testing Testing strategies, New Zealand

Repository

2021-08-04T21:01:30.380468 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ Repository, New Zealand

Tools and programming languages

On technical details we wanted to know which of the programming languages are mostly used by the RSEs. We give them a multi-choice list inspired by the results published by Stackoverflow.

We also wanted to know which operating system they use for work.

Questions in this section:

  • Which operating system do you primarily use for development? (one choice)
  • What programming languages do you use at work? Please select all that apply. (multiple choice)

Programming languages

Programming languages for New Zealand Count Percentage
Python 29 78.3784
SQL 15 40.5405
R 15 40.5405
JavaScript 14 37.8378
C 13 35.1351
C++ 11 29.7297
Java 10 27.027
Fortran 10 27.027
Perl 8 21.6216
Matlab 6 16.2162
PHP 3 8.10811
Julia 3 8.10811
TypeScript 2 5.40541
C# 2 5.40541
Swift 1 2.7027
VBA 1 2.7027
Rust 1 2.7027
Assembly 1 2.7027
Visual Basic 1 2.7027
Go 1 2.7027
Common Lisp 1 2.7027
Erlang 1 2.7027
Scala 0 0
Clojure 0 0
VB.NET 0 0
CoffeeScript 0 0
Dart 0 0
Smalltalk 0 0
Haskell 0 0
Lua 0 0
Ruby 0 0
F# 0 0
Groovy 0 0
Objective-C 0 0
Hack 0 0
Elixir 0 0

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2021-08-04T21:04:21.332379 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 10 20 30 40 50 60 70 80 Python SQL R JavaScript C C++ Java Fortran Perl Matlab PHP Julia TypeScript C# Rust Swift VBA Assembly Go Common Lisp Erlang Visual Basic Hack Haskell Objective-C Groovy F# Ruby Lua Dart Smalltalk CoffeeScript VB.NET Clojure Scala Elixir Programming languages, New Zealand

Operating systems

Operating systems for New Zealand Count Percentage
GNU/Linux 23 67.6471
OS X 6 17.6471
Windows 5 14.7059

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2021-08-04T21:04:21.776327 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 10 20 30 40 50 60 70 GNU/Linux OS X Windows Operating systems, New Zealand

Job satisfaction

Job satisfaction is an essential pulse to take about a community’s health. It helps to track the evolution and the current state of the RSEs within their role and to catch any sign of structural or organisational dysfunction that are translated into well-being. There are a lot of different metrics to measure the quality of a job on a personal and psychological level [1]. Several models exist to understand the link between different factors of job satisfaction and turnover intention [2]–[6]. Turnover intention is an important measure that is highly associated with the risk of employees leaving the organisation [3]. Job satisfaction is important in retaining RSEs. Perceived employability provides information on how workers values their own skills in regard of the market. To measure the different attitudes toward the RSE role, we used scales that have been created in [5], [6], [7], [8]. These are Likert scale [7], which are 5 point ordinal scales graduated from Strongly disagree to Strongly agree. Each scale is composed of several so called items (i.e. questions) that each measure one attitude.

Beside these specific concepts we asked more general question about their satisfaction in their current position and their satisfaction with their career in general with a range of answers from 0 (not at all satisfied) to 10 (completely satisfied).

The specific questions about their job satisfaction reflect, in general, the same opinion as the two more generic questions. However, the granularity helps to identify a couple of issues that would not appears with generic questions:

  • Recognition: These questions ask if the RSEs feel that they receive enough information about their work and their performance.
  • The turnover intention: These questions aim to measure the desire to quit their current position.
  • The perceived employability: This concept is linked to the previous one. People may not have the intention to leave their jobs, not because they like it, but because they fear they are not employable.
  • The possibility of progression: This question aims to study the possibility of evolution for the RSEs, if information is available and if they see a possibility of evolution within their current career. This is the only questions that clearly received negative answers.

Questions in this section:

All questions were asked in a Likert scale.

  • In general, how satisfied are you with your current position?
  • In general, how satisfied are you with your career?
  • Do you feel that your contribution to research is recognised by your supervisor/line manager?
  • Do you feel that your contribution to research is recognised by the researchers you work with?
  • Do you feel that your contribution to research is recognised by your institution?
  • How often do you consider leaving your job?
  • I would accept another job at the same compensation level if I was offered it
  • It would not be very difficult for me to get an equivalent job in a different institution
  • My experience is in demand on the labour market
  • It is likely that I will gain a promotion within my current group
  • The process I have to complete to gain a promotion is clear and understandable
  • There are many opportunities within my chosen career plan
  • It is likely that my next position will be an Research Software Engineer / Research

/References/

  1. B. Aziri, “Job satisfaction: A literature review,” vol. 3, no. 4, pp. 77–86.
  2. N. De Cuyper, S. Mauno, U. Kinnunen, and A. Mkikangas, “The role of job resources in the relation between perceived employability and turnover intention: A prospective two-sample study,” vol. 78, no. 2, pp. 253–263.
  3. A. B. Bakker and E. Demerouti, “The job demands-resources model: State of the art,” vol. 22, no. 3, pp. 309–328.
  4. G. H. L. Cheng and D. K. S. Chan, “Who Suffers More from Job Insecurity? A Meta-Analytic Review.” vol. 57, no. 2, p. 272.
  5. E. R. Thompson and F. T. Phua, “A brief index of affective job satisfaction,” vol. 37, no. 3, pp. 275–307.
  6. L. Greenhalgh and Z. Rosenblatt, “Job insecurity: Toward conceptual clarity,” pp. 438–448.
  7. R. Likert, “A technique for the measurement of attitudes.” vol. 22, no. 140, p. 55.

General satisfaction

2021-08-04T21:04:43.101315 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 100 90 80 70 60 50 40 30 20 10 0 10 20 30 40 50 60 70 80 90 100 Percentage satisGen1. In general, how satisfied are you with your current position satisGen2. In general, how satisfied are you with your career 6 16 22 19 25 26 25 29 16 6 6 16 22 19 25 26 25 29 16 6 General satisfaction 1 2 3 4 5 6 7 8 9 10 General satisfaction: New Zealand

Recognition

2021-08-04T21:04:43.821988 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 100 90 80 70 60 50 40 30 20 10 0 10 20 30 40 50 60 70 80 90 100 Percentage satisGen1. In general, how satisfied are you with your current position satisGen2. In general, how satisfied are you with your career 6 16 22 19 25 26 25 29 16 6 6 16 22 19 25 26 25 29 16 6 Recognition 1 2 3 4 5 6 7 8 9 10 Recognition: New Zealand

Turn-over intention

2021-08-04T21:04:44.627856 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 100 90 80 70 60 50 40 30 20 10 0 10 20 30 40 50 60 70 80 90 100 Percentage satisGen1. In general, how satisfied are you with your current position satisGen2. In general, how satisfied are you with your career 6 16 22 19 25 26 25 29 16 6 6 16 22 19 25 26 25 29 16 6 Consider leaving job 1 2 3 4 5 6 7 8 9 10 Consider leaving job: New Zealand 2021-08-04T21:04:45.360325 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 100 90 80 70 60 50 40 30 20 10 0 10 20 30 40 50 60 70 80 90 100 Percentage satisGen1. In general, how satisfied are you with your current position satisGen2. In general, how satisfied are you with your career 6 16 22 19 25 26 25 29 16 6 6 16 22 19 25 26 25 29 16 6 Would accept another job at same compensation 1 2 3 4 5 6 7 8 9 10 Would accept another job at same compensation: New Zealand

Perceived employability

2021-08-04T21:04:46.088564 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 100 90 80 70 60 50 40 30 20 10 0 10 20 30 40 50 60 70 80 90 100 Percentage satisGen1. In general, how satisfied are you with your current position satisGen2. In general, how satisfied are you with your career 6 16 22 19 25 26 25 29 16 6 6 16 22 19 25 26 25 29 16 6 Perceived employability 1 2 3 4 5 6 7 8 9 10 Perceived employability: New Zealand

Progression in the current role

2021-08-04T21:04:46.807763 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 100 90 80 70 60 50 40 30 20 10 0 10 20 30 40 50 60 70 80 90 100 Percentage satisGen1. In general, how satisfied are you with your current position satisGen2. In general, how satisfied are you with your career 6 16 22 19 25 26 25 29 16 6 6 16 22 19 25 26 25 29 16 6 Progression in the current role 1 2 3 4 5 6 7 8 9 10 Progression in the current role: New Zealand

Research software engineer

In this section we wanted to know if the participants are member or not of local organisations and if they are interested to participate to conference specific for RSE.

We also asked them to tell them which skills is important as RSE and which they and to acquire for their current role.

Questions in this section

  • Are you a member of an association of Research Software Developers (e.g. AUS-RSE, CANARIE, DE-RSE, NZ_RSE, UK RSE, …)? (yes-no)
  • Would you be interested in joining such an organisation? (yes-no)
  • What is important for such an organisation? (multiple choice)
  • Would you like to attend a conference about software development in academia? (yes-no)
  • How did you learn the skills you need to become an Research Software Engineer / Research Software Developer? (free text)
  • What three skills would you like to acquire or improve to help your work as a Research Software Engineer/ Research Software Developer? The skills can be technical and non-technical (free text)

RSE member

RSE Member for New Zealand Count Percentage
Yes 6 22.2222
No 21 77.7778

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2021-08-04T21:06:20.117973 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 10 20 30 40 50 60 70 80 No Yes RSE Member, New Zealand

Joining a RSE/RSD association

Joining a RSE/RSD association for New Zealand Count Percentage
Yes 7 43.75
No 9 56.25

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2021-08-04T21:06:20.310674 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 10 20 30 40 50 No Yes Joining a RSE/RSD association, New Zealand

What is important for such an organisation

What is important for such an organisation for New Zealand Count Percentage
Networking 6 16.2162
Research collaborations 4 10.8108
Research software standards and interoperability definition 3 8.10811
Job opportunities 3 8.10811
Training 2 5.40541

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2021-08-04T21:06:20.591056 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 2 4 6 8 10 12 14 16 Networking Research collaborations Job opportunities Research software standards and interoperability definition Training What is important for such an organisation, New Zealand

Attending a national conference of RSE/RSD

Attending a national conference of RSE/RSD for New Zealand Count Percentage
Yes 21 67.7419
No 10 32.2581

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2021-08-04T21:06:20.884836 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ 0 10 20 30 40 50 60 70 Yes No Attending a national conference of RSE/RSD, New Zealand

Learning skills for RSE/RSD

2021-08-04T21:06:22.222119 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ Learning skill to become a RSE/RSD, New Zealand

Which skills to improve

2021-08-04T21:06:23.877975 image/svg+xml Matplotlib v3.4.2, https://matplotlib.org/ Which skill to improve as RSE/RSD, New Zealand