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1 | Structure allowed you to contribute | Exercise or pres that was effective | Exercise or pres less effective | Content or pres most valuable | How to re-structure workshop more effective | Content - like to be added | ||||||||||||||||||||
2 | - Yes | - Exercise discussing social capital, capacity, org culture, infrastructure - More opportunity to move groups would have been good (cover more than one topic | - Not really | - Discussions around current-state, potential resources | - More opportunity to work with others to capture concrete challenges and potential solutions | - Practical examples | ||||||||||||||||||||
3 | - Yes, there were plenty of opportunity to contribute | - The exercise at the start (categorizing closed, shared, open data within our organizations to get the ball rolling | - No | - The activities were great | - Nothing | - Nothing | ||||||||||||||||||||
4 | - Yes | - The breakout sessions - topics ere specific enough that allowed participants to select the topic that meant the most to them | - It was good - participants make a huge difference | - The introductory sessions | - I would almost want to see 2 workshops - 1 for the person who knew zip about open data and 1 for the person who was up the learning curve | - Really dumb it down for people like me | ||||||||||||||||||||
5 | - Yes | - First discussion | - I was pretty tired after lunch | - Denser - towards the end the discussion got a bit long and wandered quite a bit | - How to do data privacy | |||||||||||||||||||||
6 | - Yes, I liked the balance of presentations & activity & collaborating | - Solutions tables were a great way to facilitate change thinking | - No | - The 5 stages and the activities around problem / solutions | - Food options did not take into consideration issues other than gluten & vegetarian. Dairy / wheat free would be appreciated | - Planning data collection activities, going through steps and viable options | ||||||||||||||||||||
7 | - Yes, facilitated discussions allowed me to express my thoughts and concerns | - The part with closed, shared and open data sticky notes | ||||||||||||||||||||||||
8 | Yes, working in small groups and then broadening the scope of the discussions to include the whole group allowed for a sense of trust and allowed for more in-depth conversation | - Whole day stimulated valuable conversation | - Plenary discussion | - Shorter lunchtime - 30 to 45 minutes | ||||||||||||||||||||||
9 | - I like how the workshop was structured around the key themes or areas needed to support open data | - I was really interesting to hear about the Alberta non-profit data strategy. It would have been good to hear even more on this, | - To some extent it was difficult to focus on non-profits rather than public sector. Might have been better to make sure you had a balance of stakeholders at each table and help facilitate the inter sector conversations. | - Electronic surveys, snapchat, geofilter | ||||||||||||||||||||||
10 | - Yes | - Breakouts into 5 influencing factors | - At the end of the day, asking for participation from a tired room | - Breakout sections | - Shorter | - Talking about how the culture / world view of the data collectors and analyts create unintentionally biased data | ||||||||||||||||||||
11 | - Yes | - Actually all were good. The best one may have been redundant | - Last one may have been redundant - or maybe everyone was just overly tired | - All were good | - I think I would have framed entire workshop around key questions to be answered leading all to last segment of agenda | - Policy and evidence-based decision making - Moving beyond open data to what its use will be | ||||||||||||||||||||
12 | - Yes | Yes, 5 factors | - Available open data sources at various government levels | - Case studies, some success stories | - Available IT tools or open source software / databases | |||||||||||||||||||||
13 | - Yes | - Data Spectrum - 5 factors that influence data use and sharing | - No | - Data Spectrum and Data Lifecycle | - Current structure is good | - Data Governance | ||||||||||||||||||||
14 | - Yes, I like the interactive session where tables are shuffled. Good networking | - I like the mindset, capacity …. Discussion - It is good to see that there are potentially solutions to the problems we most of the time have in common | - No that I see - people are involved | - Your survey was interesting. Live survey is also very fun to do although technology hard to do | - Open data in action - cases where it is really beneficial - Data stories | |||||||||||||||||||||
15 | - Yes | - Yes, the one in the afternoon | - First hour or so in the morning | - The content about mindset, org, etc. | - I would add an hour or so on the benefits (tangible) of open data | - Benefints, benefits, benefits … its then easy for government to get on-board | ||||||||||||||||||||
16 | - It was well done - I like the mix of discussion and formal slides | - I enjoyed being able to move table to table | - The data lifecycle was valuable | - Keep it as is | ||||||||||||||||||||||
17 | - Definitely | - Group exercises were good - teams / tables wored well | - Data continuum exercise (notes on sheet of paper) | - Examples of existing initiatives - Maturity model | - More small exercises - Maybe a problem solving exercise | |||||||||||||||||||||
18 | - Yes | - The review of the various facets of open data; capacity, org, etc. | - No | - The perspectives of the other participants during the exercises | - Thought it was structured well - wouldn't change anything except perhaps encouraging folks to use the mike when speaking | - Big vs. little orgs, their data and how big can better support little while having mutual trust | ||||||||||||||||||||
19 | - Yes | - Discussion on the 5 barriers to open data | - Harder to find solutions to these 5 barriers | - The theory & princiles behind open data | - Not sure I saw what IMPACT open data has on end-users | |||||||||||||||||||||
20 | - Yes, it was a good flow of individual presentations with a mix of group work - More group work at the end of the day was better as it is harder to stay awake after lunch | - Breakout sessions to discuss how each of the 5 factors influence use and sharing of data | - Open, shared, closed data | - Discussion on the 5 factors | - Some questions and maybe seeing how people vote on them | |||||||||||||||||||||
21 | - Certainly | - Changing tables according to topics | - Sticky notes (somewhat) | - Listening to each tables' summaries / conclusions | - Nothing, humour is great, maybe some videos | - Show concrete examples or tell us what organizations currently successfully share data | ||||||||||||||||||||
22 | - Yes | - Suggestions; - make agenda available before - better communication about location, address was not in program | ||||||||||||||||||||||||
23 | - Yes | - The 1st & last one. The middle one | - The last plenary session felt repetitive | - The intro presentation | - Orient the agenda by goal and drive discussion to how the participants will use the info to take action | - Ask participants to identify 2-3 challenges & successes in their open data initiatives to use in discussion & brainstorm how to address | ||||||||||||||||||||
24 | - Yes | - Exercise 2 was very engaging | - Lots of time to discuss exercise 2, maybe less next time | - Exercise 2 and the following discussion | - Maybe change up exercis 1 a litte more, another discussion would be better | - It was good | ||||||||||||||||||||
25 | - Yes 100% | - I liked the 5 key factors exercise because it allowed us to critically think about what needs to be tackled | - No, all good | - The lifecycle framework of data | - I would add in an initial exercise to capture the existing understanding of open data to those who attended | - More information on maybe current data success stories / examples of HOW they did it | ||||||||||||||||||||
26 | - Yes | - The solutions portion of the 5-factors that influence data | - The exercise on examples of closed/shared/open data did not generate much discussion in my group | - Alberta perspective, specifically what exists, info available | - Mostly great, maybe add some physical movement mid-afternoon to wake us up | - More focus on sensitive data / marginalized populations | ||||||||||||||||||||
27 | - Yes | - Talking solutions | - A bit more presentation on good practice / insights to promote data sharing - More detail on case studies and lessons learned | - How to deal with common issues with data sharing like getting consistent info and the 'right', 'relevant' info | ||||||||||||||||||||||
28 | - Yes, it was great | - The afternoon session with brainstorming the 5 factors that influence data collections | - No | |||||||||||||||||||||||
29 | - Absolutely | - The 1st part of the 2nd exercise, having numerous points to discuss helped stimulate peoples minds & bring forward different interests | - By the end people were communicating less on the different categories. Whether due to overlapping info or discussion or loss of focus | - As someone new to data concerns & developmental ideas I found it all very valuable | - I thought it was well done, timely, encouraged discussion, and thought provoking | |||||||||||||||||||||
30 | - Yes | - Small group discussion, afternoon format | - Panel Q&A with thought leaders in the sector | - Non-profit government relations - Data literacy | ||||||||||||||||||||||
31 | - Yes | - Whenever we drilled down on a particular idea | - Categorizing data into open, shared, closed | - Examples of effective projects and specific steps taken to make them happen | ||||||||||||||||||||||
32 | - Yes, and mingling between differenct groups allowed better perspective and sharing | - Open discussion on factors | - 2-minute discussion on things to stop, improve and create | - Factors were good holistic way to think about issues and opportunities | - Structure was good, no changes | - Content was appropriate to the topic | ||||||||||||||||||||
33 | - Yes, it was a respectful and open environment | - The group discussion with a specific topic at the end (infrastructure for example) | - No | - The whole day | - I wouldn't | - None | ||||||||||||||||||||
34 | - Yes, liked combo of lecture and exercises | - Really liked groupwork on the 5 barriers | - Group I was with for morning exercise were not joiners | - 5 barriers / solutions | - Not content specific, but didn't like logistics of workshop and conference in different places. Lots of people went to the wrong venue | |||||||||||||||||||||
35 | - Yes, it was quite engaging | - Table sessions on the Top 5 pillars of open data (culture, resources, etc.) | - New trends | - It was well done, good participation | - Value of open data, focus on storytelling and case studies, sharing best practices | |||||||||||||||||||||
36 | - Yes, the focus on group discussion followed by full room sharing worked well | - The group discussion on the 5 factors worked really well | - The group discussions | |||||||||||||||||||||||
37 | - Yes | Yes, first one after lunch discussing 5-factors | - Sticky notes on board, limited discussion after | - Nothing specific, was all fairly engaging and useful | ||||||||||||||||||||||
38 | - Yes | - I liked the two step dive into the 5 factors | - The last slide with the 3 sentences (stop, start, etc.) was hard to read, especially the last line with green on blue | - The data presentation wasn't very useful. Also geospacial data was not discussed as a data type | - Would be good to have more about examples of impact from open data | - See last answer and ways to evaluate impact | ||||||||||||||||||||
39 | - Yes, the small-group discussions helped, and I was fortunate to be at a table with a diverse group | - I liked the group discussions of the 5 factors | - I feel like more exploration could have been done on the Spectrum of Open Data. This may have helped to open up later discussion with respect to the 5 factors | |||||||||||||||||||||||
40 | - Yes, there was plenty of opportunity for discussion | - I think delving into the potential hurdles of open data was beneficial | - The last plenary discussion seemed almost superficial in comparison to the others | - Thank you for giving a section on Alberta data | - I would have loved a copy of the schedule for the day | - Honestly, this was less non-profit structured than I originally envisioned | ||||||||||||||||||||
41 | - Yes | - Meeting new people and sharing experiences | - Better coffee | - More techy stuff, example how to normalize data, Excel best practices (non experts are curious, and can google/pursue a particular technology, but can easily get lost in the longo technically) | ||||||||||||||||||||||
42 | - Yes | - I liked discussing the issures and strategies to address | - Last one or maybe it was I was just tired by then | - Jesss's and Geoff's | - Maybe 1 hour shorter, I liked the 10am start | - Planning a datathon or collaboration event, where to start, key strategies | ||||||||||||||||||||
43 | - Yes | - It was well facilitated | - No | - Not sure | - There were many differenct levels of competancy / capacity in the room around this topic, not sure we were all speaking the same language | - Data 101, using data to tell stories | ||||||||||||||||||||
44 | - Yes, I had no background on the subject matter, but still felt my contributions were well received | - I liked them all but the first one really helped to conceptualize the material | - No | - All of the above, great introduction to data in nonprofit sector but also very valuable to have so many experts in the room | - A structured networking kind of activity | |||||||||||||||||||||
45 | - Yes | - Specialized topics (digging into details) - The 5 factors | - List of data sets closed/shared/open more individual, not really discussed | - More on new areas to elaborate on | ||||||||||||||||||||||
46 | - Yes | - All discussions were pretty good | - Some audience questions / comments were not audible so I missed a few things | - The social capital part | - Not sure | - Not sure | ||||||||||||||||||||
47 | - Yes | - The 5 dynamic conversations | - The 5 dynamics and next steps | - A chance for perspective sharing from differenct sectors | - Prototyping solutions | |||||||||||||||||||||
48 | - Yes | - Five factors that influence data use and sharing | - It was interesting to see all the sticky notes on the closed/shared/open poster, great ideas | - This was an interesting day and a learning experience, the workshop is effective as is | ||||||||||||||||||||||
49 | - Yes | - Didn't feel as though I learned as much from the afternoon exercise | - Morning presentations | - Presentations on innovative use of open data | ||||||||||||||||||||||
50 | - Yes | - Both exercises were very informative, the open discussion and questions sessions | - No | - Both exercises being able to discuss the importance of data for all sectors | ||||||||||||||||||||||
51 | - Yes | - I liked the 5 factors and solutions table discussions | - Key components of Nonprofit Data Strategy including leadership, policy, standards, technology and skills / resources | - The workshop was structured well | ||||||||||||||||||||||
52 | - Yes, but room not set up well to hear all participants sharing | - 5 factor conversations | - What's next | - Providing a tool box | - How to create capacity of organizations to evaluate and communicate their 'why' - Provide tools, how to collect, find and use data | |||||||||||||||||||||
53 | - Yes, the workshop allowed everyone to contribute their obstacles, their needs in terms of open data as well as understand others perspectives | - Round table discussions about the 5 factors allowed information sharing and enhanced group discussion | - Since we did the round table discussion 5 factors, don't see the need to spread out and do this discussion again. Rather focus on finding solutions to overcome these obstacles | - 5 factor discussion | - Add section on finding solutions | - Applying solutions / open data obstacles and solutions | ||||||||||||||||||||
54 | - The session where we broke up by topic areas seemed to generate great conversations | - I felt the early presentations were content heavy and hard to understand | - Get a base understanding of where everyone is in terms of understanding firm issues | |||||||||||||||||||||||
55 | - Yes | - The 5 factors that affect data | - The spectrum of closed/shared/open was less effective, goal and instructions were not clear | - The table breakouts in the afternoon | - User stories, provide more context | |||||||||||||||||||||
56 | - Yes | - 5 factor discussion | - Initial presentation, examples of data initiatives worldwide | - Maybe some pre-work on 5 factors, articles / prep to support in advance | - Spectrum of data collections examples, ie. What are funders asking for, what data is collected in VIBRANT COMMUNITIES | |||||||||||||||||||||
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