There have been a lot of comments about trying to incorporate health and safety data with the coordinate data that we initially provided. While our sport is making advancements quickly in terms of collecting more usable equine health information, in 2019 there was not a comprehensive data source of more granular measure, such as heart rate or stride length.
\nThere are descriptive studies such as this: https://www.sciencedirect.com/science/article/abs/pii/S0167587716306535 and comprehensive internal reports such as this: https://www.gaming.ny.gov/pdf/NY%20Task%20Force%20on%20Racehorse%20Health%20and%20Safety.pdf
\nThe New York State Gaming Commission even has a database of breakdowns and racing incidents that can be accessed here: https://breakdown.gaming.ny.gov/searchbreakdown.byyear.php
\nHowever, it is our strong belief that it will be difficult for competitors to jump right to injury prevention without answering simpler questions much like we suggest in the Evaluation section. Since x,y coordinate data will be the basis of the stride length data we are now beginning to collect, actionable insights about path efficiency, acceleration rates, energy output and/or surface conditions will provide the platform for the future answers on more complex injury questions.
\nTo that end, papers such as these may be helpful:
\n\nb) https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0235024
\nc) https://beva.onlinelibrary.wiley.com/doi/full/10.1111/evj.13581
\nI’ll leave it to the community to work around the dastardly paywalls.
\nFinally, one of the main goals of the Big Data Derby is to identify data scientists who can work with our previous movement data, so that as we unveil the new information the sport has a pool of analysts from which to draw.
", "messages": [ { "id": 1930398, "postDate": "2022-09-07T20:21:06.353Z", "content": "There have been a lot of comments about trying to incorporate health and safety data with the coordinate data that we initially provided. While our sport is making advancements quickly in terms of collecting more usable equine health information, in 2019 there was not a comprehensive data source of more granular measure, such as heart rate or stride length.
\nThere are descriptive studies such as this: https://www.sciencedirect.com/science/article/abs/pii/S0167587716306535 and comprehensive internal reports such as this: https://www.gaming.ny.gov/pdf/NY%20Task%20Force%20on%20Racehorse%20Health%20and%20Safety.pdf
\nThe New York State Gaming Commission even has a database of breakdowns and racing incidents that can be accessed here: https://breakdown.gaming.ny.gov/searchbreakdown.byyear.php
\nHowever, it is our strong belief that it will be difficult for competitors to jump right to injury prevention without answering simpler questions much like we suggest in the Evaluation section. Since x,y coordinate data will be the basis of the stride length data we are now beginning to collect, actionable insights about path efficiency, acceleration rates, energy output and/or surface conditions will provide the platform for the future answers on more complex injury questions.
\nTo that end, papers such as these may be helpful:
\n\nb) https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0235024
\nc) https://beva.onlinelibrary.wiley.com/doi/full/10.1111/evj.13581
\nI’ll leave it to the community to work around the dastardly paywalls.
\nFinally, one of the main goals of the Big Data Derby is to identify data scientists who can work with our previous movement data, so that as we unveil the new information the sport has a pool of analysts from which to draw.
", "rawMarkdown": "There have been a lot of comments about trying to incorporate health and safety data with the coordinate data that we initially provided. While our sport is making advancements quickly in terms of collecting more usable equine health information, in 2019 there was not a comprehensive data source of more granular measure, such as heart rate or stride length.\n\nThere are descriptive studies such as this: https://www.sciencedirect.com/science/article/abs/pii/S0167587716306535 and comprehensive internal reports such as this: https://www.gaming.ny.gov/pdf/NY%20Task%20Force%20on%20Racehorse%20Health%20and%20Safety.pdf\n\nThe New York State Gaming Commission even has a database of breakdowns and racing incidents that can be accessed here: https://breakdown.gaming.ny.gov/searchbreakdown.byyear.php\n\nHowever, it is our strong belief that it will be difficult for competitors to jump right to injury prevention without answering simpler questions much like we suggest in the **Evaluation** section. Since x,y coordinate data will be the basis of the stride length data we are now beginning to collect, actionable insights about path efficiency, acceleration rates, energy output and/or surface conditions will provide the platform for the future answers on more complex injury questions.\n\nTo that end, papers such as these may be helpful: \n\na) https://www.researchgate.net/profile/Alan-Wilson-4/publication/221686304_Speed_pacing_strategy_and_aerodynamic_drafting_in_Thoroughbred_horse_racing/links/55966aaa08ae99aa62c77167/Speed-pacing-strategy-and-aerodynamic-drafting-in-Thoroughbred-horse-racing.pdf\n\nb) https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0235024\n\nc) https://beva.onlinelibrary.wiley.com/doi/full/10.1111/evj.13581\n\nI’ll leave it to the community to work around the dastardly paywalls.\n\nFinally, one of the main goals of the Big Data Derby is to identify data scientists who can work with our previous movement data, so that as we unveil the new information the sport has a pool of analysts from which to draw. \n", "votes": 18 }, { "id": 1958033, "postDate": "2022-09-27T08:58:04.370Z", "content": "Thank you @nythanyra for these comprehensive resources.
", "rawMarkdown": "Thank you @nythanyra for these comprehensive resources." }, { "id": 2008326, "postDate": "2022-10-28T23:57:45.997Z", "rawMarkdown": "", "votes": 1, "isDeleted": true } ], "comments": [ { "id": 1958033, "author_name": "naiborhujosua", "author_url": "", "post_date": "2022-09-27T08:58:04.370000", "content": "Thank you @nythanyra for these comprehensive resources.
", "votes": 0, "replies": [] }, { "id": 2008326, "author_name": "", "author_url": "", "post_date": "2022-10-28T23:57:45.997000", "content": "", "votes": 1, "replies": [] } ], "raw_markdown_by_id": { "1930398": "There have been a lot of comments about trying to incorporate health and safety data with the coordinate data that we initially provided. While our sport is making advancements quickly in terms of collecting more usable equine health information, in 2019 there was not a comprehensive data source of more granular measure, such as heart rate or stride length.\n\nThere are descriptive studies such as this: https://www.sciencedirect.com/science/article/abs/pii/S0167587716306535 and comprehensive internal reports such as this: https://www.gaming.ny.gov/pdf/NY%20Task%20Force%20on%20Racehorse%20Health%20and%20Safety.pdf\n\nThe New York State Gaming Commission even has a database of breakdowns and racing incidents that can be accessed here: https://breakdown.gaming.ny.gov/searchbreakdown.byyear.php\n\nHowever, it is our strong belief that it will be difficult for competitors to jump right to injury prevention without answering simpler questions much like we suggest in the **Evaluation** section. Since x,y coordinate data will be the basis of the stride length data we are now beginning to collect, actionable insights about path efficiency, acceleration rates, energy output and/or surface conditions will provide the platform for the future answers on more complex injury questions.\n\nTo that end, papers such as these may be helpful: \n\na) https://www.researchgate.net/profile/Alan-Wilson-4/publication/221686304_Speed_pacing_strategy_and_aerodynamic_drafting_in_Thoroughbred_horse_racing/links/55966aaa08ae99aa62c77167/Speed-pacing-strategy-and-aerodynamic-drafting-in-Thoroughbred-horse-racing.pdf\n\nb) https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0235024\n\nc) https://beva.onlinelibrary.wiley.com/doi/full/10.1111/evj.13581\n\nI’ll leave it to the community to work around the dastardly paywalls.\n\nFinally, one of the main goals of the Big Data Derby is to identify data scientists who can work with our previous movement data, so that as we unveil the new information the sport has a pool of analysts from which to draw. \n", "1958033": "Thank you @nythanyra for these comprehensive resources.", "2008326": "" } }