These polls were administered using sli.do on May 18. Participants used their own laptops or phones and could choose the top two choices in each category.
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Which of the following recommendations do you think would have the most impact on enabling integrated science? (Data & Data Integration)
| Recommendation | Votes |
|---|---|
| Establish expert cross-mission area teams of scientists AND data experts to address specific grand challenges | 38 |
| Promote use of standards to advance interoperability and usability of data | 24 |
| Increased training on exposing and using data services | 19 |
| Be open to new advances in technology while still using what is proven | 13 |
| Assess need for new or improved foundational datasets (national efforts that inform a good number of Mission Area products) | 11 |
| More robust registry(ies) of information products (SDC+) | 10 |
| Increase use of semantic technologies to improve discovery and connectivity | 9 |
Which of the following recommendations do you think would have the most impact on enabling integrated science? (Modeling)
| Recommendation | Votes |
|---|---|
| Provide shared remote workspace (e.g. cloud) for modelers to help analyze and distribute model results (JupyterHub, THREDDS, ERDDAP, …) | 37 |
| Develop a enterprise model API / toolkit that takes advantage of standards for model output (enables interoperability) | 33 |
| Support for Advanced Computing Cooperative | 24 |
| Git training for modelers | 15 |
| Create modeling ListServe or Slack channel | 9 |
Which of the following recommendations do you think would have the most impact on enabling integrated science? (Computing Capacity - Training/Outreach/Education)
| Recommendation | Votes |
|---|---|
| Sharing, Leveraging of Training activities across USGS (i.e. R Workshops / Advanced Computing) | 46 |
| Develop Advanced Computing Cooperative website – communications, decision tree for services, pilot projects, re-use of models, possible single email – requires dedicated staffing for both coordination and facilitation. | 31 |
| USGS Computing Scientific Challenge – Prize competition related to Cloud, HTC, HPC driven by executive challenge statements (i.e. USGS Grand Challenges, Internal improvement of my science, ….) | 21 |
| Partnering with Universities to offer Training Courses (Online and in-person - MOOC) for USGS Scientists (i.e. Advanced Computing, R, etc.) – Offer USGS Data, use of USGS Resources, etc. | 18 |
Which of the following recommendations do you think would have the most impact on enabling integrated science? (Science Data Infrastructure)
| Recommendation | Votes |
|---|---|
| Incentivization for scientists to employ shared science infrastructure, including more innovative distribution methods, including a standard model or architecture (technology, data base, sensor, lab) | 36 |
| Establish criteria so foundational data is maintained in such a way so that they can be interoperable | 24 |
| Executive support for cultural change (including the center director) | 22 |
| Implementa a TIGER team to look at USGS enterprises systems/architecture and how they can more efficiently integrate/interoperate with the output of establishing integrated systems and support resources | 14 |
| USGS should establish a community of practice to provide consistency for how we are approaching data collection and movement with standardized processes, new technology, dev/ops, etc | 13 |
| Extend enterprise data handling and distribution capability to help with transparency requirements, and increase collaboration tools | 12 |
| Need a more efficient funding mechanism and governance to lessen internal competition and decrease SPipe infrastructure | 10 |
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