📅 2023-05-01 — Session: Developed Data Management Policies and Frameworks
🕒 22:40–23:15
🏷️ Labels: Data Policies, Coordination, Data Management, Interdisciplinary, Data Governance
📂 Project: Business
⭐ Priority: MEDIUM
Session Goal
The session aimed to develop comprehensive data management policies and frameworks to enhance coordination and data handling within the faculty.
Key Activities
- Discourse on Data Policies and Internal Coordination: Proposed a framework emphasizing data policies, internal coordination, and training in data science.
- Data Management Roadmap: Outlined a roadmap for data management, focusing on internal and external data analysis, coordination, and training.
- Reflections on Data Science Impact: Discussed the transformative potential of data science departments in fostering interdisciplinary collaboration.
- Advocating for Data Access Policies: Highlighted challenges in accessing institutional data, advocating for clear data policies.
- Proposed Regulatory Framework: Suggested a normative framework for data governance, emphasizing data storage, distribution, and documentation.
Achievements
- Developed a comprehensive proposal for data management policies and a roadmap for implementation.
- Identified the need for mindset shifts and interdisciplinary collaboration in data science departments.
Pending Tasks
- Further development of the proposed regulatory framework to ensure privacy and security in data handling.
- Implementation of the data management roadmap and coordination strategies.