3.1 Research Design Principles 

• Importance of defining analytical goals before sampling 

Within archaeological and bioarchaeological research, it is crucial to define analytical goals before sampling. Establishing clear objectives ensures that the research is focused and that the collected data will be meaningful and relevant. This step helps in avoiding unnecessary sampling and ensures that the research is guided by specific hypotheses or questions. 

• Coordinating analyses across teams to avoid redundant sampling 

Coordinating analyses across teams is essential to avoid redundant sampling. Collaborative efforts and communication among different research groups can streamline the process, ensuring that each sample is utilized to its fullest potential. This coordination helps in sharing resources, expertise, and data, ultimately enhancing the quality and efficiency of the research. 

• Using database records to inform sampling strategies 

Using database records (e.g., ARHUT and TARA) to inform sampling strategies is crucial. These databases provide valuable information about previous research, sample locations, and existing data, which can guide new sampling efforts. By leveraging these records, researchers can make informed decisions about where and how to sample, optimizing the use of available resources and minimizing the impact on archaeological sites. 

• Handling multi-use specimens: registering and tracking multiple analyses per sample 

Handling multi-use specimens involves registering and tracking multiple analyses per sample within the given databases. This practice ensures that each specimen is documented, and its use is tracked throughout various stages of research. Proper registration and tracking prevent loss of information, contamination, and mismanagement of samples, thereby maintaining the integrity of the research. This step further gives insights for setting the goals and aims of a particular research project/study. 

3.2 Sample Selection and Coordination 

• Identifying what has already been sampled and analyzed 

• Communication protocols for overlapping research interests 

• Ensuring traceability of reused materials across projects 

3.3 Documentation of Archaeological Context 

• Core metadata requirements: 

• Site name (use the site names in original language Reiter et al. 2024) 

• Collection number 

• Specimen number 

• Geographical coordinates (if possible and in accordance with the legislation and protection of cultural heritage objects) 

• Year of excavation campaign 

• Date of the object 

• Cultural affiliation of the site 

• Use of structured metadata input in ARHUT 

• Integration (or lack thereof) between lab databases and archaeological context sources 

• TARA and ARHUT as sources of context, but without full interoperability 

3.4 Sample Naming and Identification 

• Assigning sample IDs and maintaining consistency across systems 

• Documenting lab-specific analysis numbers (e.g., lab ID, "peanumber") 

• Mapping returned lab identifiers to ARHUT sample IDs 

3.5 Sample Passport and Tracking 

• Description of the "sample passport" tag accompanying the specimen 

• Physical and digital versions of the passport 

• Recording and tracking leftover material and storage location 

3.6 Documentation Challenges and Responsibilities 

• Problems with access: labs often lack archaeological context; archaeologists may lack database access 

• Manual cross-entry burden between disconnected systems 

• Step-by-step strategies to fill in contextual metadata in ARHUT post-analysis 

• Responsibility for ensuring metadata completeness and accuracy