and tool use cases to capture scientific investigations, including: • planning of studies • validation of resources and resource allocation • capture of raw data • insuring data integrity, modelling Plan and Experiments What we’ve done
process model by study plan construction client to generate process model 2. Allocate resources for each process by resource allocation client 3. <execute experiments> 4. Input data to get output Plan and Experiments model
study plans). Blue: lab specifications (additional specifications for experimental steps, SOPs, required certifications, … ) Orange: study plan and study itself planned workflow -> signed by study director planned workflow + resources -> signed by facility manager executed workflow + data -> signed by study coordinators -> signed by study director, quality, … (signature using modified trustyURI) RDF Scheme
• Tools and Interface for… • Data input/Edit • Read/Browse • Querying • Ideas of modelling for automation • Abstract request to build a study plan? • Order “Get the DEG list from sample A/B” to design a flow of experiments
Other ontologies and framework for biological experiments • SMART Protocol • Data Processing Workflow • Common Workflow Language • Bionode / dat • Data sharing initiatives • researchobject.org