List of required information for application:
1. Contact information: Provide the name, affiliation, address, email, and phone number of the primary contact person responsible for the application.
2. Project title: Write a concise and descriptive title for the proposed project.
3. Project summary: Summarize the objectives, methods, and significance of the proposed project in a clear and concise manner. Highlight how the project aligns with the goals of the Data Analysis and Coordination Center for PsychENCODE.
4. Project narrative: Provide a detailed description of the proposed project, including the research plan, methodologies, data analysis approach, and expected outcomes. Clearly explain how the project will contribute to the discovery and characterization of human-specific non-coding functional genomic elements and their role in psychiatric disorders.
5. Team qualifications: Describe the qualifications, expertise, and experiences of the key personnel involved in the project. Highlight their track record in data analysis, coordination, and management of large-scale genomic research projects.
6. Project timeline: Provide a comprehensive timeline of the project activities, including milestones and deliverables. Outline the proposed schedule for data integration, harmonization, analysis, management, and dissemination.
7. Budget: Prepare a detailed budget that outlines the estimated costs for personnel, equipment, software, data storage, travel, and any other necessary expenses. Justify the budget items and explain how the requested funds will be utilized.
8. Facilities and resources: Describe the available facilities, infrastructure, and resources that will support the proposed project. Highlight any specialized equipment or software that will be utilized.
9. Collaboration plan: Describe any existing or planned collaborations with other institutions, organizations, or research groups. Explain how these collaborations will enhance the data analysis and coordination efforts of the proposed project.
10. Data management plan: Outline a comprehensive plan for data management, including data collection, storage, quality control, data sharing policies, and data security measures. Address any ethical considerations related to data privacy and confidentiality.
11. Communication and dissemination: Describe how the project findings, data, and resources will be disseminated to the scientific community and stakeholders. Explain the strategies for public engagement, knowledge translation, and communication of research outcomes.
12. Evaluation plan: Describe the methods and metrics that will be used to evaluate the progress and success of the proposed project. Explain how the project outcomes will be assessed and measured.
13. References: Include a list of relevant references and citations to support the background, rationale, and proposed methods of the project.
