Getting Useful Data from Others - Online Discussion Notes from 09.01.19


#1

Lessons Learned/Best Practices:

  • Face to face conversations works well in collecting data because you can iterate your questions to get what you need.
  • Don’t expect to have the perfect form/survey from the start - evaluate the data you get and adjust accordingly.
  • Too much data can be a barrier to making it useful. Having a key understanding of how you are going to use the data and what you actually need to collect is critical.
  • The best data is often qualitative and that can be harder to work with and analyse in large amounts (Sentiment Analysis is one way of dealing with qualitative data)

Helpful Resources:

Agenda:

  • Go round: Why did you come to the discussion today? Is there a particular challenge in getting data from other people you want to overcome?
  • Small Group Breakouts - Groups of three - what is your experience in getting data from others - what works/what doesn’t
  • Large Group Discussion: What are best practices and lessons learned from the discussions?
  • Relevant resources to share.
  • What did you want to get out of the workshop on February 1st?
  • Wrap Up

Raw Notes

Who’s here: Kate, Gareth, Mor & Dirk

Challenges:

  • Kate - Monitor and impact and learning. From the grantees - asking the right questions - compare data - end of grant reports - a bit more - getting in a format that they can compare?
  • Gareth - being compliant to the donor’s request - making it easy to get reporting back in - being clear at reporting - working with iWill - trying to be forewarned from donors about what they need?
  • Mor - How can we get the right data? Privacy issues? How do we deal with people the downsides - all data doesn’t have to be open
  • Open Data - definition - it can be shared freely - there’s a license or agreement between people for open data. NHS data is an example?

Face to Face Conversations - it is iterative - via form is a dead-end.

Forms - being general calls for input - send us your information - you need to have calls -

How do you store data you are collecting? Freeing

Stacks of data -

They are using anything they find in salesforce - they are compliant to GDPR -

Barebones -

Understanding what is relevant to the funder - only collecting that. Funder - not

Smaller funders - larger - after the fact.

Impact framework -

Such - Giraffes, Elephants and

The best data is often qualitative - sentiment analysis is one thing.

Most grantees are aware of potential

Kate has anonymised it.

Data issues - understand the complexities and challenges in terms of what have they find.