Table 2. Current and future data analysis needs of National Science Foundation (NSF) Biological Sciences Directorate (BIO) principal investigators (PIs) by the NSF BIO division.

	Current needs				Needs in 3 years
	Environ-mental biology 163 ≤ n ≤ 168	Molecular and cellular biosciences 85 ≤ n ≤ 90	Biological infra-structure 116 ≤ n ≤ 118	Integrative organismal systems 159 ≤ n ≤ 161	Environ-mental biology 124 ≤ n ≤ 162	Molecular and cellular biosciences 59 ≤ n ≤ 85	Biological infra-structure 85 ≤ n ≤ 117	Integrative organismal systems 108 ≤ n ≤ 157
Publish data to the community	0.95	0.92	0.93	0.87	0.99	0.98	0.96	0.98
Sufficient data storage	0.93	0.91	0.90	0.94	0.99	0.95	0.97	0.98
Share data with colleagues	0.95	0.90	0.91	0.88	0.98	0.99	0.96	0.97
Updated analysis software	0.92	0.88	0.91	0.91	0.95	0.93	0.95	0.99
Training on data management and metadata	0.87	0.71	0.81	0.74	0.94	0.91	0.95	0.92
Support for bioinformatics and analysis	0.80	0.83	0.72	0.76	0.89	0.90	0.88	0.87
Training on basic computing and scripting	0.83	0.77	0.65	0.72	0.94	0.89	0.85	0.92
Search for data and discover relevant data sets	0.75	0.77	0.77	0.71	0.93	0.93	0.91	0.88
Multistep analysis workflows or pipelines	0.81	0.74	0.68	0.69	0.93	0.88	0.92	0.86
High performance computing (HPC)	0.77	0.68	0.64	0.63	0.91	0.90	0.85	0.83
Training on integration of multiple data types	0.69	0.57	0.62	0.65	0.91	0.93	0.89	0.91
Cloud computing	0.56	0.41	0.50	0.46	0.87	0.85	0.84	0.87
Training on scaling analysis to cloud/HPC	0.55	0.46	0.50	0.41	0.86	0.78	0.79	0.80

Percent responding affirmatively. Bold text indicates a statistically significant chi-square result between BIO divisions.