Community Survey

November, 2021


Survey was launched in November 2021 with 177 participants. Responses shown are only for those respondents who answered the questions (numbers of responses may vary between questions)

What species do you work with? (multiple selections allowed)

  Answers Count    
1 Insects / Parasites 25 ( 6.7%)  
25 (6.7%)
2 Major Livestock 76 (20.4%)  
76 (20.4%)
3 Microbes 24 ( 6.5%)  
24 (6.5%)
4 Orphan Crops 20 ( 5.4%)  
20 (5.4%)
5 Other 23 ( 6.2%)  
23 (6.2%)
6 Other Animals 17 ( 4.6%)  
17 (4.6%)
7 Row Crops 83 (22.3%)
83 (22.3%)
8 Specialty Crops 52 (14.0%)  
52 (14.0%)
9 Specialty Livestock 26 ( 7.0%)  
26 (7.0%)
10 Trees 26 ( 7.0%)  
26 (7.0%)
    372    

What scientific discipline do you represent? (multiple selections allowed)

  Answers Count    
1 Agriculture 731 (16.3%)  
731 (16.3%)
2 Basic Biology 298 ( 6.7%)  
298 (6.7%)
3 Computer Science / Computer Engineering 192 ( 4.3%)  
192 (4.3%)
4 Crops / Plants: Basic Biology 418 ( 9.3%)  
418 (9.3%)
5 Crops / Plants: Genetics 740 (16.5%)
740 (16.5%)
6 Crops / Plants: Physiology / Nutrition 262 ( 5.8%)  
262 (5.8%)
7 Data Sciences (including applied mathematics, bioinformatics, statistics, AI) 630 (14.1%)  
630 (14.1%)
8 Engineering 72 ( 1.6%)  
72 (1.6%)
9 Livestock / Animal: Basic Biology 249 ( 5.6%)  
249 (5.6%)
10 Livestock / Animal: Genetics 550 (12.3%)  
550 (12.3%)
11 Livestock / Animal: Physiology / Nutrition 180 ( 4.0%)  
180 (4.0%)
12 Other 104 ( 2.3%)  
104 (2.3%)
13 Physical Science 31 ( 0.7%)  
31 (0.7%)
14 Social Science 23 ( 0.5%)  
23 (0.5%)
    4,480    

What scientific discipline do your CURRENT collaborators represent? (multiple selections allowed)

  Answers Count    
1 Agriculture 681 (15.2%)
681 (15.2%)
2 Animal Science 303 ( 6.8%)  
303 (6.8%)
3 Biological Science 499 (11.1%)  
499 (11.1%)
4 Computer Science 231 ( 5.2%)  
231 (5.2%)
5 Crop / Plant Science 643 (14.4%)  
643 (14.4%)
6 Data Sciences (including applied mathematics, bioinformatics, statistics, AI) 580 (12.9%)  
580 (12.9%)
7 Economics 50 ( 1.1%)  
50 (1.1%)
8 Engineering 151 ( 3.4%)  
151 (3.4%)
9 Genetics /Genomics / Animal Breeding 456 (10.2%)  
456 (10.2%)
10 Genetics / Genomics / Plant Breeding 647 (14.4%)  
647 (14.4%)
11 Other 55 ( 1.2%)  
55 (1.2%)
12 Physical Science 34 ( 0.8%)  
34 (0.8%)
13 Social Science 150 ( 3.3%)  
150 (3.3%)
    4,480    

From which scientific disciplines would you LIKE to have collaborators, but with whom you do not currently work? (multiple selections allowed)

  Answers Count    
1 Agriculture 362 ( 8.1%)  
362 (8.1%)
2 Animal Science 341 ( 7.6%)  
341 (7.6%)
3 Biological Science 308 ( 6.9%)  
308 (6.9%)
4 Computer Science 423 ( 9.4%)  
423 (9.4%)
5 Crop / Plant Science 391 ( 8.7%)  
391 (8.7%)
6 Data Sciences (including applied mathematics, bioinformatics, statistics, AI) 677 (15.1%)
677 (15.1%)
7 Economics 282 ( 6.3%)  
282 (6.3%)
8 Engineering 213 ( 4.8%)  
213 (4.8%)
9 Genetics /Genomics / Animal Breeding 344 ( 7.7%)  
344 (7.7%)
10 Genetics / Genomics / Plant Breeding 415 ( 9.3%)  
415 (9.3%)
11 None 141 ( 3.1%)  
141 (3.1%)
12 Other 79 ( 1.8%)  
79 (1.8%)
13 Physical Science 202 ( 4.5%)  
202 (4.5%)
14 Social Science 302 ( 6.7%)  
302 (6.7%)
    4,480    

How much value is added in the following categories when you collaborate with others outside of your discipline?

  Answers
(Low Value)
1
 
2
 
3
 
4
(High Value)
5
Total
1 Grow my career 2 ( 1.3%) 13 ( 8.7%) 42 (28.0%) 45 (30.0%) 48 (32.0%) 150
2 Advance my work in ways I couldn't do alone 1 ( 0.6%) 4 ( 2.6%) 12 ( 7.7%) 55 (35.5%) 83 (53.5%) 155
3 Uncover unique insights and approaches 0 ( 0.0%) 5 ( 3.2%) 25 (16.2%) 57 (37.0%) 67 (43.5%) 154
4 Access to data sources 2 ( 1.3%) 17 (11.3%) 45 (30.0%) 45 (30.0%) 41 (27.3%) 150
5 Build my professional network 2 ( 1.3%) 11 ( 7.2%) 37 (24.3%) 46 (30.3%) 56 (36.8%) 152
6 Learn new technical skills 2 ( 1.3%) 8 ( 5.2%) 38 (24.7%) 51 (33.1%) 55 (35.7%) 154
7 Qualify for more / different grants or funding 2 ( 1.4%) 16 (11.0%) 31 (21.4%) 41 (28.3%) 55 (37.9%) 145
8 Other 4 (33.3%) 0 ( 0.0%) 1 ( 8.3%) 2 (16.7%) 5 (41.7%) 12

Finish this statement: I'd be more likely to collaborate if... (multiple selections allowed)

  Answers Count    
1 I had more time 57 (22.0%)  
57 (22.0%)
2 I was more established in my career 34 (13.1%)  
34 (13.1%)
3 It were easier to find collaborators outside of my discipline 87 (33.6%)
87 (33.6%)
4 My colleagues valued it more 37 (14.3%)  
37 (14.3%)
5 There were places to publish the resulting research 26 (10.0%)  
26 (10.0%)
6 Other 18 ( 6.9%)  
18 (6.9%)
    259    

Which, if any, of the following GENOMIC resources do you wish you had better access to and/or willing to share your access with others (e.g., current or future collaborators, fee-for-service, etc.)? (multiple selections allowed)

  Answers Have Access To Willing to Share Total
1 Diverse / unique germplasm (breeding collections, mutations, transgenes, etc.) 60 (53.1%) 53 (46.9%) 113
2 Epigenomic / functional genomic data 62 (62.6%) 37 (37.4%) 99
3 Genome assembly and/or annotation 55 (54.5%) 46 (45.5%) 101
4 Genotyping data 67 (47.2%) 75 (52.8%) 142
5 Genotyping tools and/or facilities 66 (55.9%) 52 (44.1%) 118
6 Other 7 (36.8%) 12 (63.2%) 19
7 I currently have all the access to these resources I need 16 (100.0%) 0 ( 0.0%) 16

Which, if any, of the following DATA resources do you wish you had better access to and/or willing to share your access with others (e.g., current or future collaborators, fee-for-service, etc.)? (multiple selections allowed)

  Answers Have Access To Willing to Share Total
1 Advanced analytics 65 (54.6%) 54 (45.4%) 119
2 Centralized data storage 49 (58.3%) 35 (41.7%) 84
3 Data integration and visualization tools 79 (59.4%) 54 (40.6%) 133
4 High performance computing 61 (58.1%) 44 (41.9%) 105
5 I currently have all the access to these resources I need 8 (100.0%) 0 ( 0.0%) 8
6 Image acquisition 40 (56.3%) 31 (43.7%) 71
7 Long-term data storage 51 (63.7%) 29 (36.2%) 80
8 Novel algorithm development 40 (55.6%) 32 (44.4%) 72
9 Ontologies and metadata standards 40 (61.5%) 25 (38.5%) 65
10 Other 3 (16.7%) 15 (83.3%) 18
11 Rapid data transfer infrastructure 50 (68.5%) 23 (31.5%) 73

Which, if any, of the following PHENOMICS resources do you wish you had better access to and/or willing to share your access with others (e.g., current or future collaborators, fee-for-service, etc.)? (multiple selections allowed)

  Answers Have Access To Willing to Share Total
1 Automated crop measurement systems 52 (65.8%) 27 (34.2%) 79
2 Automated livestock measurement systems 45 (68.2%) 21 (31.8%) 66
3 Below-ground imaging / sensing 30 (78.9%) 8 (21.1%) 38
4 Bioimaging (cellular and sub-cellular) 38 (74.5%) 13 (25.5%) 51
5 Customized or novel imaging systems 37 (69.8%) 16 (30.2%) 53
6 Field remote sensing platforms: UAVs 56 (63.6%) 32 (36.4%) 88
7 I currently have all the access to these resources I need. 4 (100.0%) 0 ( 0.0%) 4
8 Image analysis methods and applications 64 (66.0%) 33 (34.0%) 97
9 Off-the-shelf imaging systems 32 (78.0%) 9 (22.0%) 41
10 Other 7 (25.9%) 20 (74.1%) 27
11 Portable phenotyping devices 69 (70.4%) 29 (29.6%) 98
12 Robotics 26 (65.0%) 14 (35.0%) 40
13 Sensors- environmental 47 (73.4%) 17 (26.6%) 64
14 Sensors- organismal 31 (81.6%) 7 (18.4%) 38

Please select the level of access you currently have to the listed human resources for your current and future work in G2P.

  Answers Adequate Need better access Need more funding Total
1 Undergraduate Research Assistants 38 (38.4%) 24 (24.2%) 37 (37.4%) 99
2 Graduate Students 24 (21.8%) 28 (25.5%) 58 (52.7%) 110
3 Postdoctoral fellows 15 (13.8%) 18 (16.5%) 76 (69.7%) 109
4 Equipment Managers 17 (23.6%) 21 (29.2%) 34 (47.2%) 72
5 Technicians 26 (27.1%) 26 (27.1%) 44 (45.8%) 96
6 Grant specialists (pre-award) 33 (37.9%) 26 (29.9%) 28 (32.2%) 87
7 Grant specialists (post-award) 29 (36.7%) 28 (35.4%) 22 (27.8%) 79
8 Collaborators (within discipline) 48 (42.9%) 41 (36.6%) 23 (20.5%) 112
9 Collaborators (outside discipline) 15 (13.8%) 66 (60.6%) 28 (25.7%) 109

What types of training for your students or staff do you wish you had better access to? (multiple selections allowed)

  Answers Count    
1 Biological sciences 56 (18.8%)  
56 (18.8%)
2 Communications 37 (12.4%)  
37 (12.4%)
3 Computer sciences 74 (24.8%)  
74 (24.8%)
4 Engineering 19 ( 6.4%)  
19 (6.4%)
5 Ethics 17 ( 5.7%)  
17 (5.7%)
6 Other 4 ( 1.3%)  
4 (1.3%)
7 Quantitative sciences 91 (30.5%)
91 (30.5%)
    298