Utiliser les données pour planifier et exécuter les programmes en tenant compte de l’équité entre les genres
18 mars 2022
This blog post recaps the second webinar in the 4‑part Engaging Girls and Women in Sport mini-series. SIRC and Canadian Women & Sport co-hosted the mini-series, which you can access and learn more about by visiting our SIRC Expert Webinars page.
—
With the rise of big data and analytics, organizations across all industries are looking to use data when making decisions. There are many reasons why sport organizations may want to collect and use data. For example, data can help plan quality sport programs with gender equity at the centre. In this blog, we highlight the key takeaways from our discussion with academics and sport leaders on the importance of data collection to design and improve programs.
For many people, the idea of working with data can be intimidating. Canadian Women & Sport created Same Game as one way to make people more comfortable with data. Same Game is a free, online, step-by-step toolkit to help sport leaders use data to turn gender equity ideas into reality.
Introducing the toolkit, webinar panelist Shannon Kerwin, a Brock University researcher with the E-Alliance Gender and Equity in Sport Research Hub, explained that it breaks down the process into 7 steps. The toolkit begins with a vision to help organizations understand their “why,” then moves on to data collection, planning, communicating targets, building capacity, implementation, and, finally, reflection and revision to make lasting and impactful change.
The other 2 panelists, Paula McKenzie and Crystal Watson, shared their experiences with using the Same Game toolkit. McKenzie, the executive director of one of the largest track and field clubs in Canada, Caltaf athletic association, explained the framework of 4D’s: Discovery, Data collection, Detailed planning or implementation, and “Down-the-road” thinking.
Then Watson, a volunteer board member with the Alberta Sport Development Centre, shared her experiences of collecting data through a province-wide study with over 400 high-school participants. Both Watson and McKenzie emphasized that the toolkit was user-friendly and designed to help organizations navigate the complex world of data.
Why is data collection important?
Data informs effective decision-making
Data helps you look at a situation objectively. It tells a story based on facts and provides organizations with numbers that they can use to make decisions. Instead of relying on what you “think” is happening, using data allows you to make decisions based on what you “know” is really happening.
“When we’re looking at data, it helps inform our decisions. Data shows you the picture of what you’re looking at. As human beings we have our own biases. If I come into my own research projects, I’m thinking something might happen, but when I collect my data, I look and think perhaps there’s something different going on.”
Shannon Kerwin
- Data helps with efficiency and resource allocation
Lacking enough time or resources can be common barriers for sport organizations. But, using data can help organizations focus on the right thing. And, as a result, data helps them use their time and resources more efficiently and make better decisions.
“…data increases the effectiveness of targeting the right initiative, program or strategy, so that’s key. We know all clubs are working in a space where you don’t have infinite resources so where you allocate the resources becomes so much more important.”
Shannon Kerwin
- Data creates stakeholder buy-in
Finally, data has the power to elicit support from stakeholders, including board members, coaches and athletes. Data can be helpful when making immediate changes within an organization. Data can be useful externally too, when applying for grants.
“It helps to create buy-in. Buy-in from parents [or guardians], athletes, coaches, athletic directors, different people in your organization, the board to ensure they’re understanding what you’re doing and why you’re doing it. And even to redirect you if you need to zig and zag which often happens.”
Crystal Watson
Collecting and using data
Challenges can arise during the data collection stage. If you’re getting few responses, take a step back and try to understand your target demographic. Then, find the channels that will get their attention, incentivize participants and find ways to keep them engaged.
“We used our social media channels. At the beginning, I was sending emails and it finally dawned on me that if I’m younger than I am, I’m probably not reading all the emails, but if I put something out on Instagram, I’m probably reading that.”
Paula McKenzie
Another approach is to identify influential individuals and turn them into champions to promote participation and change:
“The big thing that worked for us, the reason we could collect so many responses [was] because we had a personal connection within the school. We had a couple of teachers who were going to champion our survey tool and get it approved.”
Crystal Watson
Finally, the sports community can be a great resource. As Kerwin pointed out, community connections within clubs are strong. Reaching out to others can result in support or a referral that will guide you in the right direction.
After collecting data, it’s common for organizations to not know what to do next. The first step in understanding your data, according to Kerwin, is to form a summary. This helps identify trends, challenge or support existing assumptions, and understand what other pieces of data you need to explore or collect. Beginning with a summary lays out the foundation for your next steps.
Using data for gender equity
At the end of the webinar, the panelists shared their ideas for using data to realize organizations’ gender-equity goals.
The first step is to understand your organization’s “why.” This can help you understand what you want to achieve as an organization, says Kerwin. As the Same Game toolkit shows, having such a vision for your organization builds the foundation for the next steps, including collecting, analyzing and using data.
Being open-minded is another important element of working with data. Watson emphasized the importance of keeping an open mind and not letting pre-determined expectations or assumptions influence your conclusions.
Finally, McKenzie explained that data doesn’t have to be scary. Although there’s often a steep learning curve to working with data, there are also many resources available. These include academic researchers and peers within the sports community. Working together to share best practices can make working with data fun rather than scary.
Sport organizations are beginning to realize that data is powerful and can have many benefits. Importantly, resources such as the Same Game toolkit can help organizations to start on their data collection and analysis journey. With time, practice, and by leaning on others for support, organizations can start using data to realize a common vision of gender equity.
About the panelists
To learn more about the Engaging Girls and Women in Sport Mini-Series and the webinar panelists, check out the SIRC Expert Webinars page.
About Canadian Women & Sport
Canadian Women & Sport is dedicated to creating an equitable and inclusive Canadian sport and physical activity system that empowers girls and women—as active participants and leaders—within and through sport. With a focus on systemic change, we partner with sport organizations, governments, and leaders to challenge the status quo and build better sport through gender equity.
À propos du ou de(s) contributeur(s)
Annabel Chan est une bénévole du SIRC et une étudiante en médecine à l’Université Queen’s. Elle est diplômée de l’Université Western où elle a étudié les affaires et les sciences et joué au soccer. Grâce à son expérience en tant qu’étudiante-athlète, elle s’est prise de passion pour encourager la pratique du sport chez les jeunes, en particulier chez les filles et les femmes. Elle espère rester impliquée dans la communauté sportive et intégrer les principes d’une vie active et saine dans sa future carrière.
Marina Khonina est coordinatrice de recherche principale au SIRC. Elle est titulaire d’une maîtrise en sociologie de l’Université Simon Fraser, où elle a étudié les cultures sportives et la relation des femmes athlètes avec la nourriture. Avec une formation en écriture et en communication, Mme Khonina s’intéresse particulièrement à l’application des connaissances dans les sciences du sport et de la santé. Elle est également une athlète d’athlétisme qui participe à des épreuves de sprint.
Les informations présentées dans les blogues du SIRC et les articles du SIRCuit sont exacts et vérifiées à la date de publication. Les développements qui surviennent après la date de publication peuvent avoir un impact sur l'exactitude actuelle de l'information présentée dans un blogue ou un article publié précédemment.