It’s time to celebrate. After some hectic weeks preparing and organizing the InterMine conference we can now take a deep breath and and get ready for our new BBSRC funded project to make data more FAIR.
It will be a short rest, just the time to check that we have everything we need to start this long journey but also to savour the excitement before the departure towards FAIRness, a destination that will enhance InterMine compliance with FAIR principles; InterMine has been at the forefront of getting research data into the hands of scientists for over 10 years and we’re excited to support the formalisation of these principles.
As team, we recognized with no doubts, the need to implement the FAIR data principles, making biological data stored in InterMine instances more Findable, Accessible, Interoperable, and Reusable by both humans and machines, as well as the huge impact that this achievement might have on the quality of biological data served by InterMine. Implementing some mechanisms that make data stored in InterMine FAIR, we provide a unique opportunity to make ALL data collection, served by nearly 30 public biological InterMine instances worldwide, FAIR.
This is a great chance and we didn’t want to miss it!
Here some important milestones we want to achieve along the journey:
- Generate globally unique and stable URIs to identify InterMine data objects and register them in community bioinformatics repositories (for instance bio.tools and Identifiers.org) in order to provide more findable and accessible data.
- Apply suitable ontologies to the core InterMine data model to make the semantic of InterMine data explicit and facilitate data exchange and interoperability
- Embed metadata in InterMine web pages and add extra metadata to InterMine’s existing structured query results to make data more findable
- Provide a RDF representation of data stored, lists and query results, and the bulk download of all InterMine in RDF form, in order to allow the users to import InterMine resources into their local triplestore
- Provide an infrastructure for a SPARQL endpoint where the user can perform federated queries over multiple data sets
- Improve accessibility of data licenses for integrated sources via web interface and REST web-service.
It will be an exciting challenge. Follow us on this blog.