Is My Work a Good Fit for the FaceBase Community Forum?

Prospective abstract submitters are encouraged to consider the following questions when deciding whether their work aligns with the goals of the FaceBase Community Forum. You do not need to answer “yes” to all questions - many strong submissions will address only one or two.

Data Reuse, Integration, and the Data Lifecycle

• Does your work involve the reuse of existing biomedical data (from FaceBase or other sources)?

• Does your research address challenges or solutions related to data sharing, curation, harmonization, or long-term reuse?

• Are you working across multiple stages of the data lifecycle (e.g., study design, data generation, annotation, analysis, or reuse)?

• Does your work demonstrate how well-curated data can enable new discoveries beyond the original study aims?

DOC, Inner Ear, and Related Health Domains

• Does your research involve dental, oral, craniofacial, or inner ear data, or closely related anatomical or disease models?

• Does your work connect these domains to broader systemic health or disease processes?

• Are you integrating data across species, developmental stages, or experimental and clinical contexts?

• Would your findings be informative to researchers working in adjacent domains (e.g., hearing and balance, vision, craniofacial development, or related disorders)?

AI-readiness and Analytics

• Does your work prepare data for advanced computational analysis, such as machine learning or artificial intelligence?

• Are you addressing issues of data quality, standardization, metadata, or reproducibility that support AI-ready research?

• Does your research highlight lessons learned in applying computational methods to complex biomedical datasets?

• Could your approach help others make their data more suitable for scalable or automated analysis?

Methods, Tools, and Infrastructure

• Are you developing or using tools, workflows, or platforms that support data sharing, integration, or reuse?

• Does your work involve data modeling, visualization, or infrastructure that enables multidisciplinary research?

• Are you applying or extending platforms (such as DERIVA or related systems) to support complex biomedical data?

• Would your approach be useful to others designing or managing data-intensive studies?

Community Impact and Future Directions

• Does your work suggest new opportunities for collaboration across disciplines or research communities?

• Are you generating insights that could inform future data collection, standards, or best practices?

• Would your research help shape how shared data resources can better serve the biomedical community moving forward?