Australia Germany Netherlands New Zealand South Africa United Kingdom United States World
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 for Australia
Count
Percentage
1 (None at all)
nan
nan
2
3
3.40909
3
4
4.54545
4
nan
nan
5
6
6.81818
6
5
5.68182
7
3
3.40909
8
14
15.9091
9
10
11.3636
10 (All the time)
35
39.7727
Download CSV
2021-08-04T21:01:43.352660
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
5
10
15
20
25
30
35
40
10 (All the time)
9
8
7
6
5
4
3
2
1 (None at all)
Open source use, Australia
PNG SVG
Citation of software for Australia
Count
Percentage
1 (None at all)
nan
nan
2
3
3.40909
3
8
9.09091
4
7
7.95455
5
5
5.68182
6
2
2.27273
7
3
3.40909
8
10
11.3636
9
8
9.09091
10 (All the time)
28
31.8182
Download CSV
2021-08-04T21:01:45.171611
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, Australia
PNG SVG
Use of Digital Object Identifier for Australia
Count
Percentage
1 (None at all)
nan
nan
2
5
5.68182
3
5
5.68182
4
7
7.95455
5
5
5.68182
6
6
6.81818
7
3
3.40909
8
3
3.40909
9
2
2.27273
10 (All the time)
6
6.81818
Download CSV
2021-08-04T21:01:46.994735
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
1
2
3
4
5
6
7
8
10 (All the time)
9
8
7
6
5
4
3
2
1 (None at all)
Use of Digital Object Identifier, Australia
PNG SVG
2021-08-04T21:01:48.004445
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
Which tool is used for Digital Object Identifier, Australia
PNG SVG
Using ORCID for Australia
Count
Percentage
Yes
68
78.1609
No
8
9.1954
Download CSV
2021-08-04T21:01:48.498028
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
10
20
30
40
50
60
70
80
Yes
No
Using ORCID, Australia
PNG SVG
Open source use for Germany
Count
Percentage
Percentage in 2017
Difference with previous year
1 (None at all)
nan
nan
nan
nan
2
19
6.41892
6.95187
-0.532953
3
17
5.74324
4.27807
1.46517
4
13
4.39189
1.06952
3.32237
5
15
5.06757
13.369
-8.30142
6
7
2.36486
5.88235
-3.51749
7
14
4.72973
8.02139
-3.29166
8
18
6.08108
8.55615
-2.47507
9
29
9.7973
10.1604
-0.363131
10 (All the time)
89
30.0676
nan
nan
Download CSV
2021-08-04T21:01:48.872539
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)
30%
10%
6%
5%
2%
5%
4%
6%
6%
Open source use, Germany
−5
0
Δ
PNG SVG
Citation of software for Germany
Count
Percentage
1 (None at all)
nan
nan
2
30
10.1351
3
20
6.75676
4
13
4.39189
5
24
8.10811
6
15
5.06757
7
19
6.41892
8
21
7.09459
9
17
5.74324
10 (All the time)
67
22.6351
Download CSV
2021-08-04T21:01:51.002754
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
5
10
15
20
10 (All the time)
9
8
7
6
5
4
3
2
1 (None at all)
Citation of software, Germany
PNG SVG
Use of Digital Object Identifier for Germany
Count
Percentage
Percentage in 2017
Difference with previous year
1 (None at all)
nan
nan
nan
nan
2
22
7.43243
11.3208
-3.88832
3
15
5.06757
13.2075
-8.13998
4
6
2.02703
1.88679
0.140235
5
18
6.08108
18.8679
-12.7868
6
6
2.02703
7.54717
-5.52014
7
5
1.68919
13.2075
-11.5184
8
4
1.35135
7.54717
-6.19582
9
7
2.36486
1.88679
0.478072
10 (All the time)
14
4.72973
nan
nan
Download CSV
2021-08-04T21:01:53.023965
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
1
2
3
4
5
6
7
10 (All the time)
9
8
7
6
5
4
3
2
1 (None at all)
5%
2%
1%
2%
2%
6%
2%
5%
7%
Use of Digital Object Identifier, Germany
−10
0
Δ
PNG SVG
2021-08-04T21:01:54.238287
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
Which tool is used for Digital Object Identifier, Germany
PNG SVG
Using ORCID for Germany
Count
Percentage
Yes
154
52.5597
No
58
19.7952
Download CSV
2021-08-04T21:01:54.737193
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
10
20
30
40
50
Yes
No
Using ORCID, Germany
PNG SVG
Open source use for Netherlands
Count
Percentage
Percentage in 2017
Difference with previous year
1 (None at all)
nan
nan
nan
nan
2
2
3.92157
9.67742
-5.75585
3
2
3.92157
4.83871
-0.917141
4
nan
nan
nan
nan
5
2
3.92157
1.6129
2.30867
6
3
5.88235
1.6129
4.26945
7
2
3.92157
9.67742
-5.75585
8
2
3.92157
8.06452
-4.14295
9
5
9.80392
16.129
-6.32511
10 (All the time)
31
60.7843
nan
nan
Download CSV
2021-08-04T21:01:55.098318
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
10
20
30
40
50
60
10 (All the time)
9
8
7
6
5
4
3
2
1 (None at all)
61%
10%
4%
4%
6%
4%
4%
4%
Open source use, Netherlands
−5
0
Δ
PNG SVG
Citation of software for Netherlands
Count
Percentage
1 (None at all)
nan
nan
2
1
1.96078
3
2
3.92157
4
nan
nan
5
3
5.88235
6
5
9.80392
7
4
7.84314
8
7
13.7255
9
2
3.92157
10 (All the time)
15
29.4118
Download CSV
2021-08-04T21:01:56.657020
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, Netherlands
PNG SVG
Use of Digital Object Identifier for Netherlands
Count
Percentage
Percentage in 2017
Difference with previous year
1 (None at all)
nan
nan
nan
nan
2
2
3.92157
17.3913
-13.4697
3
1
1.96078
17.3913
-15.4305
4
2
3.92157
4.34783
-0.426257
5
3
5.88235
8.69565
-2.8133
6
1
1.96078
8.69565
-6.73487
7
5
9.80392
13.0435
-3.23956
8
3
5.88235
21.7391
-15.8568
9
nan
nan
nan
nan
10 (All the time)
4
7.84314
nan
nan
Download CSV
2021-08-04T21:01:58.303104
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
2
4
6
8
10
10 (All the time)
9
8
7
6
5
4
3
2
1 (None at all)
8%
6%
10%
2%
6%
4%
2%
4%
Use of Digital Object Identifier, Netherlands
−10
0
Δ
PNG SVG
2021-08-04T21:01:59.101202
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
Which tool is used for Digital Object Identifier, Netherlands
PNG SVG
Using ORCID for Netherlands
Count
Percentage
Yes
26
52
No
10
20
Download CSV
2021-08-04T21:01:59.556129
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
10
20
30
40
50
Yes
No
Using ORCID, Netherlands
PNG SVG
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
Download CSV
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
PNG SVG
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
Download CSV
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
PNG SVG
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
Download CSV
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
PNG SVG
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
PNG SVG
Using ORCID for New Zealand
Count
Percentage
Yes
20
62.5
No
6
18.75
Download CSV
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
PNG SVG
Open source use for South Africa
Count
Percentage
1 (None at all)
nan
nan
2
1
4.7619
3
nan
nan
4
nan
nan
5
2
9.52381
6
nan
nan
7
nan
nan
8
2
9.52381
9
1
4.7619
10 (All the time)
13
61.9048
Download CSV
2021-08-04T21:02:04.794759
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
10
20
30
40
50
60
10 (All the time)
9
8
7
6
5
4
3
2
1 (None at all)
Open source use, South Africa
PNG SVG
Citation of software for South Africa
Count
Percentage
1 (None at all)
nan
nan
2
nan
nan
3
nan
nan
4
nan
nan
5
4
19.0476
6
nan
nan
7
1
4.7619
8
5
23.8095
9
2
9.52381
10 (All the time)
4
19.0476
Download CSV
2021-08-04T21:02:06.332592
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
5
10
15
20
25
10 (All the time)
9
8
7
6
5
4
3
2
1 (None at all)
Citation of software, South Africa
PNG SVG
Use of Digital Object Identifier for South Africa
Count
Percentage
1 (None at all)
nan
nan
2
nan
nan
3
1
4.7619
4
nan
nan
5
1
4.7619
6
nan
nan
7
3
14.2857
8
nan
nan
9
1
4.7619
10 (All the time)
nan
nan
Download CSV
2021-08-04T21:02:07.875271
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
2
4
6
8
10
12
14
10 (All the time)
9
8
7
6
5
4
3
2
1 (None at all)
Use of Digital Object Identifier, South Africa
PNG SVG
2021-08-04T21:02:08.647472
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
Which tool is used for Digital Object Identifier, South Africa
PNG SVG
Using ORCID for South Africa
Count
Percentage
Yes
14
66.6667
No
3
14.2857
Download CSV
2021-08-04T21:02:09.106827
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
10
20
30
40
50
60
70
Yes
No
Using ORCID, South Africa
PNG SVG
Open source use for United Kingdom
Count
Percentage
1 (None at all)
nan
nan
2
6
2.80374
3
9
4.20561
4
5
2.33645
5
13
6.07477
6
6
2.80374
7
19
8.8785
8
20
9.34579
9
30
14.0187
10 (All the time)
93
43.4579
Download CSV
2021-08-04T21:02:09.415441
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
10
20
30
40
10 (All the time)
9
8
7
6
5
4
3
2
1 (None at all)
Open source use, United Kingdom
PNG SVG
Citation of software for United Kingdom
Count
Percentage
1 (None at all)
nan
nan
2
8
3.73832
3
8
3.73832
4
8
3.73832
5
26
12.1495
6
17
7.94393
7
14
6.54206
8
22
10.2804
9
11
5.14019
10 (All the time)
73
34.1121
Download CSV
2021-08-04T21:02:11.378075
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
5
10
15
20
25
30
35
10 (All the time)
9
8
7
6
5
4
3
2
1 (None at all)
Citation of software, United Kingdom
PNG SVG
Use of Digital Object Identifier for United Kingdom
Count
Percentage
1 (None at all)
nan
nan
2
19
8.8785
3
14
6.54206
4
10
4.6729
5
19
8.8785
6
11
5.14019
7
10
4.6729
8
8
3.73832
9
6
2.80374
10 (All the time)
21
9.81308
Download CSV
2021-08-04T21:02:13.228626
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
2
4
6
8
10
10 (All the time)
9
8
7
6
5
4
3
2
1 (None at all)
Use of Digital Object Identifier, United Kingdom
PNG SVG
2021-08-04T21:02:14.246106
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
Which tool is used for Digital Object Identifier, United Kingdom
PNG SVG
Using ORCID for United Kingdom
Count
Percentage
Yes
154
73.3333
No
22
10.4762
Download CSV
2021-08-04T21:02:14.747374
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
10
20
30
40
50
60
70
Yes
No
Using ORCID, United Kingdom
PNG SVG
Open source use for United States
Count
Percentage
Percentage in 2017
Difference with previous year
1 (None at all)
nan
nan
nan
nan
2
2
1.44928
5.04202
-3.59274
3
2
1.44928
3.36134
-1.91207
4
2
1.44928
2.52101
-1.07173
5
4
2.89855
9.2437
-6.34515
6
4
2.89855
4.20168
-1.30313
7
5
3.62319
7.56303
-3.93984
8
17
12.3188
14.2857
-1.96687
9
25
18.1159
13.4454
4.67056
10 (All the time)
74
53.6232
nan
nan
Download CSV
2021-08-04T21:02:15.180525
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)
54%
18%
12%
4%
3%
3%
1%
1%
1%
Open source use, United States
−5
0
5
Δ
PNG SVG
Citation of software for United States
Count
Percentage
1 (None at all)
nan
nan
2
8
5.7971
3
8
5.7971
4
8
5.7971
5
16
11.5942
6
4
2.89855
7
10
7.24638
8
13
9.42029
9
9
6.52174
10 (All the time)
31
22.4638
Download CSV
2021-08-04T21:02:17.281791
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
5
10
15
20
10 (All the time)
9
8
7
6
5
4
3
2
1 (None at all)
Citation of software, United States
PNG SVG
Use of Digital Object Identifier for United States
Count
Percentage
Percentage in 2017
Difference with previous year
1 (None at all)
nan
nan
nan
nan
2
9
6.52174
6.38298
0.13876
3
8
5.7971
10.6383
-4.8412
4
1
0.724638
4.25532
-3.53068
5
11
7.97101
25.5319
-17.5609
6
5
3.62319
6.38298
-2.75979
7
6
4.34783
8.51064
-4.16281
8
7
5.07246
21.2766
-16.2041
9
5
3.62319
6.38298
-2.75979
10 (All the time)
7
5.07246
nan
nan
Download CSV
2021-08-04T21:02:19.292923
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
1
2
3
4
5
6
7
8
10 (All the time)
9
8
7
6
5
4
3
2
1 (None at all)
5%
4%
5%
4%
4%
8%
1%
6%
7%
Use of Digital Object Identifier, United States
−10
0
Δ
PNG SVG
2021-08-04T21:02:20.382655
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
Which tool is used for Digital Object Identifier, United States
PNG SVG
Using ORCID for United States
Count
Percentage
Yes
81
60.9023
No
19
14.2857
Download CSV
2021-08-04T21:02:20.891591
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
10
20
30
40
50
60
Yes
No
Using ORCID, United States
PNG SVG
Open source use for World
Count
Percentage
1 (None at all)
nan
nan
2
nan
nan
3
2
4.87805
4
nan
nan
5
2
4.87805
6
nan
nan
7
2
4.87805
8
3
7.31707
9
1
2.43902
10 (All the time)
28
68.2927
Download CSV
2021-08-04T21:02:21.209464
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
10
20
30
40
50
60
70
10 (All the time)
9
8
7
6
5
4
3
2
1 (None at all)
Open source use, World
PNG SVG
Citation of software for World
Count
Percentage
1 (None at all)
nan
nan
2
4
9.7561
3
2
4.87805
4
1
2.43902
5
3
7.31707
6
nan
nan
7
4
9.7561
8
5
12.1951
9
1
2.43902
10 (All the time)
16
39.0244
Download CSV
2021-08-04T21:02:22.917561
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
5
10
15
20
25
30
35
40
10 (All the time)
9
8
7
6
5
4
3
2
1 (None at all)
Citation of software, World
PNG SVG
Use of Digital Object Identifier for World
Count
Percentage
1 (None at all)
nan
nan
2
1
2.43902
3
nan
nan
4
3
7.31707
5
7
17.0732
6
1
2.43902
7
nan
nan
8
1
2.43902
9
1
2.43902
10 (All the time)
6
14.6341
Download CSV
2021-08-04T21:02:24.664508
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
2
4
6
8
10
12
14
16
10 (All the time)
9
8
7
6
5
4
3
2
1 (None at all)
Use of Digital Object Identifier, World
PNG SVG
2021-08-04T21:02:25.540577
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
Which tool is used for Digital Object Identifier, World
PNG SVG
Using ORCID for World
Count
Percentage
Yes
29
72.5
No
4
10
Download CSV
2021-08-04T21:02:26.149117
image/svg+xml
Matplotlib v3.4.2, https://matplotlib.org/
0
10
20
30
40
50
60
70
Yes
No
Using ORCID, World
PNG SVG
