What is data stewardship?
Data stewardship refers to the long-term and sustainable care for research data. Data stewardship implies professional and careful treatment of data throughout all stages of your research project (i.e., the design, collection, processing, analysis, long-term preservation, and sharing of your research data).
Data stewardship is necessary because you need to:
- meet legal and ethical requirements, including privacy of study subjects;
- meet the requirements of research funders;
- meet the requirements of scientific journals concerning quality and traceability of data;
- protect your scientific integrity.
Adequate data stewardship ensures that:
- you have adequate technological resources (e.g., storage space, support staff time);
- you are able to share your final data set publicly;
- your data will be robust and free from versioning errors and gaps in documentation;
- your data is backed up and safe from sudden loss or corruption;
- your data will remain accessible and comprehensible in the future;
- your data can be shared with others, for scientific research, commercial development, or validation;
- your data can be used for healthcare (medical research data).
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