STATUS: IN DEVELOPMENT
Short description
Before you start modeling, check what schemas, models, vocabularies and standards are already used within your domain that could be reused or built upon. Also try to identify if similair initiatives are caried out internationally. And lastly, put your requirements and metadata inventory next to that the Health-RI core and health metadata schema to analyze what is already covered in there (see also previous step). This saves time and ensures your metadata schema is efficient, using established best practices and aligning with international standards. It also reduces complexity and improves interoperability across datasets and systems in your domain.
Deliverables
Deliverable | Description |
|---|---|
Review report | A report summarizing existing standards and schemas reviewed. |
Inventory | Spreadsheet with all terms, definitions, mapped concepts, value ranges and controlled vocabularies. |
How
1. Perform a literature search
Before developing a new metadata schema for your domain, start by performing a literature review to see if there are any existing solutions or guidelines in your domain that you can incorporate and reuse. This includes looking for research papers, reviews, or technical reports that discuss metadata standards or best practices for data management in your specific field or domain. In domains like omics, a lot of effort has already gone into standardizing metadata, so it's likely that some relevant frameworks exist.
Some of the places you can search are:
Google Scholar: For scientific papers and reviews.
PubMed: A free database of biomedical literature.
arXiv : For preprints, especially in computational biology or bioinformatics, where metadata models may be discussed.
Keywords to use in your search might include "metadata schema," "ontology," "vocabulary," "metadata standards," along with your specific domain, such as "genomics," "imaging," "oncology," etc.