臺北市運動員履歷平臺之規劃研究－以基層運動選手訓練站為例

Abstract

本研究旨在探討以臺北市運動員履歷平臺規劃為主題，以瞭解基層運動選手訓練站的運作模式、運動員資料管理的需求，以及建置運動員履歷平臺的可行性，並以基層運動選手訓練站作為案例研究。本研究採用質性研究方法，透過深度訪談與文件分析。研究結果顯示，基層運動選手訓練站在運作上面臨資料整合、數位化管理等挑戰，存在資料分散、流程不完善的情形。此外，基層運動選手在訓練站中的資料紀錄與管理有待提升，尤其是轉階段資訊的傳遞與追蹤。為解決上述問題，本研究提出具體的臺北市基層運動選手訓練站履歷平臺規劃方案。該平臺將建立統一的運動員資料系統，包括基層運動選手的個人資料、競賽成績、訓練紀錄等相關資訊，並提供數位化的管理工具。平臺設計將著重於資料整合性和流程化，以確保運動員資訊的完整性和即時性。此外，平臺將提供運動員發展計畫的支援功能，包括訓練進度追蹤、轉階段推薦等，以協助基層運動選手順利發展成為職業運動員或國家代表隊成員。最後，本研究認為臺北市運動員履歷平臺不僅是一個資料管理工具，更可成為決策支援的系統。透過大數據分析和資料挖掘，平臺能夠預測潛力選手、分析各運動種類的發展趨勢，並協助平衡資源的分配，提升運動選手培訓及資源運用效益。本研究結果可作為未來建置臺北市運動員履歷平臺的重要參考依據，有助於提升基層運動選手的訓練品質及運動資訊的有效管理，同時促進運動項目的整體發展和資源配置的合理化。

This study investigates the planning of Taipei City Athlete Resume Platform, using grassroots athlete training stations as a case study. Employing qualitative research methods including in-depth interviews and document analysis, the study aims to understand the operational mode of grassroots athlete training stations, the needs of athlete data management, and the feasibility of establishing an athlete resume platform. The findings reveal challenges faced by grassroots athlete training stations such as data integration and digital management, characterized by dispersed data and imperfect processes. Furthermore, data recording and management for grassroots athletes at training stations require improvement, particularly in the transmission and tracking of transition-related information. To address these issues, this study proposes a specific plan for the Taipei City grassroots training station resume platform. The platform will establish a unified athlete data system encompassing personal information, competition results, training records, and related information, while providing digital management tools. Platform design will prioritize data integration and process standardization to ensure the integrity and timeliness of athlete information. Additionally, the platform will support athlete development plans, including training progress tracking and transition recommendations, to assist grassroots athletes in progressing towards becoming professional athletes or national team members. Lastly, this study suggests that the Taipei City Athlete Resume Platform can serve not only as a data management tool but also as a decision support system. Leveraging big data analysis and data mining, the platform can predict potential athletes, analyze development trends across various sports, and aid in balancing resource allocation to enhance athlete training quality and resource utilization efficiency. The findings of this study can serve as a significant reference for future development of the Taipei City Athlete Resume Platform, facilitating improvements in grassroots athlete training quality, effective sports information management, and overall development and rationalization of resource allocation in sports.