4. Submission Checklist & Recommendations

Before submitting your BioProject to K-BDS, review the following checklist to ensure that your submission is complete, accurate, and ready for approval. Proper preparation reduces review time, minimizes revision requests, and ensures your data is discoverable and reusable.

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Submission Checklist

1. Project-Level Information

• A clear and concise Project Title in both English and Korean.

• A comprehensive Project Description summarizing the scientific background, objectives, and scope.

• Accurate Submitter and Organization Information (institution, department, PI details).

• Complete Contact Information, including email and phone number.

2. Associated Data Records

• BioSample records for all biological materials have been created.

• Raw sequencing data (KRA) registered and linked to the BioProject.

• Assembled sequences (KNA) or expression data (KEA) submitted if applicable.

• Proteomics (KPOP), metabolomics (KMAP), chemical (KCODE), or bio-imaging (KBI) data linked if relevant.

• DOIs or accession numbers for publications or patents, if available.

3. Supporting Information

• Research funding details (NTIS) entered, if applicable.

• All metadata fields completed (sample type, experiment design, sequencing platform, etc.).

• Data files prepared correctly — de-multiplexed for small sample sizes or multiplexed if large-scale.

• Submission files follow supported formats (e.g., FASTQ, FASTA, BAM, CSV, etc.).

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Recommendations

• Register BioProject first: Always create and submit a BioProject before registering BioSample records or submitting any associated data. The BioProject serves as the central reference that all other data types will link to.

• Ensure consistent naming: Use identical sample names, project titles, and metadata across BioSample, raw data, and downstream submissions.

• Write meaningful descriptions: A well-written abstract with research goals and expected outcomes helps reviewers evaluate the project quickly.

• Include references: Adding DOIs or PubMed IDs improves project visibility and traceability.

• Check metadata carefully: Most delays in approval are due to incomplete or inconsistent metadata.

• Track changes clearly: When updating or resubmitting data, document what has changed to maintain version control and reproducibility.

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Common Mistakes to Avoid

Even experienced submitters often run into the following issues. Double-check for these before submission:

• ❌ BioProject not registered first – Attempting to register BioSample or submit data before creating a BioProject.

• ❌ BioSample not linked – Forgetting to connect registered BioSample records to the BioProject before data submission.

• ❌ Inconsistent naming – Sample IDs, titles, or metadata fields don’t match between BioSample, KRA, and BioProject.

• ❌ Missing metadata – Required fields (organism, source, platform, etc.) are incomplete.

• ❌ Incorrect data type selection – Choosing the wrong category (e.g., transcriptome instead of proteomics) can lead to delays.

• ❌ Unsupported file formats – Uploading data in non-standard formats not accepted by KBDS.

• ❌ Empty description fields – Submitting without a proper project summary or keywords reduces discoverability.

• ❌ Skipping validation – Not reviewing system warnings or validation errors before submission.

💡 Tip: Always follow the correct order: 1️⃣ Register the BioProject → 2️⃣ Create and link BioSample → 3️⃣ Submit Raw data (KRA) and other associated datasets. Following this workflow will significantly reduce curation time and increase the likelihood of smooth approval.

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Final Tip

A BioProject must always be registered first before submitting BioSample records, raw data (KRA), assembled sequences (KNA), expression data (KEA), or spatial omics (KSO). All associated data will be linked to the BioProject and reviewed as part of the final approval process. Submitting well-documented, high-quality data from the start will significantly shorten the curation timeline and improve the visibility of your research in K-BDS.