Are Fair Digital Objects and Digital Twins the same thing?

Semantically-defined Digital Twins (DTs) and Fair Objects (FDOs) are similar in concept. They both adopt the "Find first" philosphy they point to data about some entity real world (where "entity" is a very loose definition of any asset, or imaginary). Are there parallels that we can draw? Can use digital twin plaform host FDOs? same thing? The objectives GO-FAIR organisation, should be Findable, Accessible, Interoperable Reusable were originally designed help human beings find understand data. There has always been side-helping desiring computers machine intelligences FDOs people normally think datasets, probably time-series collected over considerable period, amounting large file database records. What if you took concept compared it Twins? If define Twin as virtual representation real-world object, its identity, metadata stored “in cloud”, then it’s not big jump from an FDO. approach opposite direction - reduce size FDO until individual entity, collection, arrive at destination. In our proposed talk will outline ways semantically-defined twins overlap. We show examples action argue sufficient granularity would serve purpose. Venn diagram circle. have attributes do have. For example, might real-time feeds (such current temperature, fuel consumption, heart-rate… ), control interface change their state (turn on off, raise draw-bridge, etc). These dynamic activities hint one difference between two behaviour. things time. There’s nothing specification suggests that’s important required, but lack imagination, rather than desirability. other lobe properties mainly concerned with historical “now” while collection data, possibly many entities period This mismatch overcome by using dataset “data bypass” pattern allow transferred “out band” requestor, given access permissions. Perhaps strict equivalence going too far. certainly share common features posit where machines humans cooperate Maybe answer admixture two?