Developed Data Management Policies and Frameworks

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Developed Data Management Policies and Frameworks

  • Day: 2023-05-01
  • Time: 22:40 to 23:15
  • Project: Business
  • Workspace: WP 1: Strategic / Growth & Development
  • Status: In Progress
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Data Policies, Coordination, Data Management, Interdisciplinary, Data Governance

Description

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.

Evidence

  • source_file=2023-05-01.sessions.jsonl, line_number=1, event_count=0, session_id=f6d4121383cd4f52c65b664bbfbedea35334da6dfc0b751711d4335446d82261
  • event_ids: []

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