@NJT_Techno The algorithms, absolutely. The skills to create them in open source tools like Python you can take with you.
My experience was enzyme kinetic calculations. If you use the commercial software you leave only knowing how to use the software.
So I did: https://t.co/6c7RpJoM34
@DGC_CGN@ONdigital@housingON At the moment I don't need it, but I am working on making these kinds of ontologies and vocabularies available to be added to data records and data schemas. A published, public machine-readable standard makes this possible. e.g. skos. https://t.co/alsSAcpVuB
@FAIRsharing_org@lnanderscience@resdatall As I understand - to attend this event you must have paid to register for the RDA 22nd Plenary meeting (virtual). https://t.co/pz5A7klHVt ?
@ZhangVelten@Anthony_Bonato I'm hunting for a (comedy) publication where they did an organic synthesis paper on how to create a effective decongestant (pseudoephedrine) from the more readily available methamphetamine (complete with synthesis pathways and everything).
@Nicola_Askham Interesting how in your blog you reference "accessibility, understandability, discoverability, interoperability, and trustworthiness" for data which matches well with the academic concept that data should be FAIR (findable, accessible, interoperable and reusable).
@zjonsee Usually giving something that fills a gap, e.g. they are having trouble opening jars at home and now they have a jar opening tool they didn't know existed.
@jhan2qt@AgBioWorld Australia in 2016, pesticides sold 63416.5 tonnes or 63416.5x10^6 g. Agland: 371078.3 kilohectares or 371078.3x10^3 hectares.
That equals 171g/har of pesticides purchased.
The kilohectares was probably missed to get 171kg instead of g.
The relative rankings is the same.
@jhan2qt@AgBioWorld Checking numbers on the provided link (https://t.co/OTp5529ehR)
Ag Policy Indicators > Ag-En other indicators > pesticides sales and Ag land area are the source tables.