This document outlines the process for creating regulatory datasets using barcode data, including building a reference library, validating data for errors, annotating data, releasing validated data, and applying the reference library. The validation process checks for misidentifications, labeling errors, and cross-contamination and produces a report of any discrepancies between input and reference barcodes.

1. Regulatory Datasets
Dirk Steinke

2. Regulatory use of barcode data

3. Reference library
1. Building a reference library
• full taxonomy (including identifier)
• full information about voucher
repository (institution and catalog
number)
• detailed information on origin of
specimen (geospatial data)
• image(s)
• full-length sequence and trace files

4. Data validation
1. Building a reference library
2. Data validation
Data discordance
• misidentification
• labeling/sampling error
• cross-contamination

5. Data validation
1. Building a reference library
2. Data validation
BIN discordance report

6. Data validation
1. Building a reference library
2. Data validation

7. Data validation
1. Building a reference library
2. Data validation

8. Data validation
1. Building a reference library
2. Data validation
Data annotation
During validation process
final label
Introduce confidence measures

9. Data release
1. Building a reference library
2. Data validation
3. Data release

10. Data release
1. Building a reference library
2. Data validation
3. Data release

11. Application
1. Building a reference library
2. Data validation
3. Data release
4. Application

12. Application
1. Building a reference library
2. Data validation
3. Data release
4. Application

13. Thank you!