Welcome to DiSSCoTech
Data is most reusable where data types are simple and easy to describe, and when the community is organized and collaborative.
— Quote from “FAIR in practice”
Our Data Types
Our data types are formed around the basic concept of a Digital Specimen, being a digital representation on the Internet of a physical object in a natural science collection.
Our most recent blog posts on technical design of the DiSSCo infrastructure
Why it matters more in the age of AI and Machine Learning One of the key concepts outlined in the 2016 FAIR principle paper is “machine-actionability”: ..the idea of being machine-actionable applies in two contexts—first, when referring to the contextual metadata surrounding a digital object (‘what is it?’), and second, when referring to the contentContinue reading “FAIR Digital Objects and Machine-Actionability”
A news story published on Aug 6, 2020, in The Verge had the following to say: “Sometimes it’s easier to rewrite genetics than update Excel“. The story was about a known problem where Excel by default converts gene names to dates . You can try this out at home with the gene symbol “MARCHF1” —Continue reading “Why Spreadsheets Matter?”
Persistent identifiers, their links to other identifiers and various contextual data are essential components of the DiSSCo architectural design. Here is a brief example to demonstrate the importance of these identifiers, linking them and providing enough contextual information to perform operations on the digital specimen objects. The example here also highlights some of the challengesContinue reading “Identifiers and contextual data”
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Our Technical Team
The members of our technical team are all different, with diverse backgrounds, skills, and expertise to bring to the design of DiSSCo.