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)
- Sharing Data Responsibly - A Conversation Guide for Funders
- What is Open Data and Why you should care.
- (Any good resources on survey design?)
- 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
Who’s here: Kate, Gareth, Mor & Dirk
- 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 -
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.