A translucent overlay journal could publish FAIR assets based on existing open-access publications. Typically, an overlay journal is transparent – it is a window to selected already-available content. The value added to the existing body of content is that of curation. However, scholarly digital assets – data, algorithms, tools, workflows, etc. – that support the narratives expressed in many publications are often insufficiently FAIR.

A mean is a central tendency or location. Examples include arithmetic and geometric means. A distribution can have a strong or weak central tendency, that is, a small or large dispersion, respectively.

The DIKW ¹ decomposition expresses a layering of context on top of raw observations. Data points are attributes – components of facts. They are actuals (e.g., measured numbers) that can be connected to contexts. Information is data tied to context, i.e. processed data (“history”) that reduces uncertainty wrt what, when, where, and who.

I was alerted to a great discussion ¹ about unifying versus partitioning data models. That is, you have some data powering some part of your system, and you need to decide how to structure that data and associate validation logic and behavior – like calculating properties or triggering other system actions – with the bundle of data as it evolves over the course of some ongoing or completing process.

There are user facilities for scientific research. They were born out of the cost of doing “big science” with hardware that was increasingly resource-intensive, in terms of physical space, personnel time, and materials. Lawrence’s first cyclotron fit in the palm of his hand. Then he needed the hills behind Berkeley’s university campus.

When writing a multiline data structure literal, the usual convention is to put delimiters like commas at the end of each line.

This is a test to see if tag-specific RSS feeds are automatically generated for each tag in a Hugo blog. The front matter for this post is: --- title: "Automatic RSS Feed for Each Tag in Hugo" date: 2021-09-03T09:33:37-04:00 draft: false tags: - test --- Woohoo! /tags/test/index.xml was automatically created on deploy!

Irving et al. ¹ approach digital research infrastructure through three related but distinct concepts: openness, reproducibility, and sustainability. Openness is about making digital resources generally accessible for reuse, sharing, and adaptation through an open license.

What do knowledge governance systems look like in practice? By knowledge governance, I don’t just mean governing ontologies. By knowledge, I mean categories/sets/types of things – what a thing “is,” or at least what it is described to be in the information system – and the relationships between these types, as opposed to specific recorded facts.

The more precisely the position of some particle is determined, the less precisely its momentum can be predicted from initial conditions, and vice versa.

A lot of extract-transform-load (ETL) work requires unloading and un-transforming first. Rather than \ETL\, it’s \L_A^{-1}T_A^{-1}ET_BL_B\. What the data provider did is \A\. What you want to do is \B\. The data provider gave you a “dump” of their data. You don’t know what it means. If you did, you could extract (subset) from it according to your needs – filter entities by some meaningful criteria and collect selected attributes.