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PIDs for policy elementsAbstractExamplesNotesSee alsoAbout

Hammurabi's code Detail of Hammurabi's code. Image: Claude Valette, CC BY-SA 4.0.

Title

PIDs for policy elements

Abstract

Policies are a common way to structure interactions amongst humans as well as between humans and human-made systems. In turn, they have a structure to themselves, which may vary considerably across use cases but can generally be broken down into individual policy elements, similar to ingredients within a recipe. In this session - which will be presented from https://github.com/Daniel-Mietchen/events/blob/master/PIDapalooza-2018.md - we will entertain the idea of assigning PIDs to such policy elements and explore the effects that might have on

Examples

Hammurabi's Code

Data sharing policies

Let's consider data sharing policies, which are increasingly being drafted and implemented by a range of players in the research landscape, including research institutions, research funders, research publishers, learned societies and others.

Some key elements of policies in this space could be, e.g.

  • whether there is an embargo period before data can be shared openly,
    • and if so,
      • whether it
        • is
          • optional
          • required
        • has
          • conditions
      • what data it applies to,
      • when it starts and
      • when it ends, or
  • whether there are licensing requirements,
    • and if so,
      • whether they apply to data and/ or metadata
      • which licenses fulfill them
  • whether there are any consequences for non-compliance,
    • and if so,
      • which ones.

Now imagine these policy elements to be available and addressable in a format that machines can act on, i.e. using a consistent predefined structure and a controlled vocabulary linked to persistent identifiers.

If we can do this for cocktails, why not for policies?

Technical approaches to automated handling of policy elements

Notes in drafting

Target policies

This session is not specific to any domain, so I'll try to structure it around examples from various areas. For the moment, though, I'll just list here some potential starting points:

Open Knowledge Maps

Since I am new to the topic of analyzing legal language, I am trying to get an overview of how others are doing it, for which I am using Open Knowledge Maps. In order to document my discovery process, I am listing below the queries that I ran, roughly in the order in which I ran them:

Scholia

See also

About

This file hosts my session proposal for PIDapalooza 2018. It was submitted on September 22, 2017, which was the extended submission deadline. On October 11, I was notified that the proposal had been accepted. The session took place at 2pm CET on January 24 on Stage 2.