Actively prevent these standard RDM errors to ensure the longevity of your research:

• Inadequate Backups: Neglecting robust backup and recovery plans can lead to catastrophic data loss.

• Poor Metadata Management: Relying on undocumented assumptions or "tacit knowledge" renders data completely unusable to external researchers.

• Proprietary Lock-in: Over-dependence on specific, closed-format tools reduces long-term portability and interoperability.

• Over-documentation: Creating fragmented, overly complex documentation that becomes a burden to maintain.

• Inconsistent Versioning: Updating processing scripts without coordinating updates to datasets and metadata compromises reproducibility.

• Unclear Ownership: Failing to assign clear roles (Data Steward, Curator) results in tasks being overlooked during project handovers.