Data Intensive Research Requirements
 

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1. Describe your research area:

2. Which best describes your role within your research organization (check all that apply)

3. What is the volume of data that you regularly deal work on in your research?

4. What is the volume of data that you expect to work on in the near future (next three to five years)?

5. How important will it be in your research to improve in the below areas [sliding scale - LEFT indicates a high priority while buttons to the RIGHT indicate a lower priority].

 
Data Acquisition
Data Cleaning
Data Management
Data Discovery
Backtesting
Analysis and Optimization
Live Data Simulation
Migrating models to production

6. For the areas you selected in question 5 as very or extremely important for your research to improve, please indicate why below

7. When thinking about the content you use, how important is the following [sliding scale - LEFT indicates a high priority while buttons to the RIGHT indicate a lower priority].

 
Extensive breadth and depth of content
Access to both historical data and real-time feeds
Distinctive qualitative content, such as commentary Supporting reference data
Access to original raw format
Pre-built quantitative models

8. When thinking about the analytical tools you use, how important is the following [sliding scale - LEFT indicates a high priority while buttons to the RIGHT indicate a lower priority].

 
Flexible mathematical language
Scripting
Analytics
High-speed analytics
Debug/profiling
Console cluster management

9. When thinking about data management, how important is the following [sliding scale - LEFT indicates a high priority while buttons to the RIGHT indicate a lower priority].

 
Ability to consolidate external data into one central location
Ability to span multiple data sources world-wide
Easy output into proprietary formats
Improved data quality
Access to public or reference data online

10. Can you identify a service or capability for data intensive research not mentioned in this survey that you believe extremely important for your research to improve

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