Challenges and directions in analytical paleobiology

Area of Science:

• Paleobiology
• Biodiversity Science
• Data Science

Background:

• Analytical paleobiology has expanded significantly over the past 50 years due to increased data and analytical tools.
• Despite advancements, the field faces persistent obstacles related to equitable data access and standardized analytical practices for the fossil record.

Purpose of the Study:

• To survey four key challenges in analytical paleobiology from an early-career researcher's perspective.
• To discuss current efforts, persistent barriers, and enabling tools for addressing these challenges.
• To encourage interdisciplinary dialogue and systemic changes in paleobiological research conduct and data sharing.

Main Methods:

• Survey of challenges from an early-career perspective.
• Discussion of recent efforts and persisting barriers.
• Identification of tools advancing analytical paleobiology.

Main Results:

• Four primary challenges identified: bias in fossil record interpretation, integration of fossil and modern biodiversity data, development of data science skills, and enhancement of data accessibility and equity.
• Progress is being made through collaborative, interdisciplinary, and open science initiatives, particularly by early-career researchers.
• Persistent barriers remain, necessitating continued efforts and systemic reevaluation.

Conclusions:

• Addressing the identified challenges requires collaborative, interdisciplinary solutions and a reevaluation of how paleobiological research is conducted and shared.
• Equitable data access and standardized best practices are crucial for the future of analytical paleobiology.
• Systemic changes are needed to foster a more inclusive and effective research environment.