Skip to content
No description, website, or topics provided.
Python HTML CSS
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
CarePackages
DataPackageExamples Update LC Books data package Feb 13, 2018
assets Add saverkamp's images Feb 15, 2018
DataGuide.md adds link sent by thomas padilla to data practices manifesto Feb 17, 2018
Presentation.html
README.md correct mistyping Slides -> Presentation (thanks Selena Chau) Feb 17, 2018

README.md

Beyond Open Data

Prepared for Code4lib 2018.
More information: http://2018.code4lib.org/talks/beyond-open-data

This repository contains:

  • This README(.md)
  • DataGuide(.md)
  • Presentation(.html)
  • CarePackages / a folder with experiments, tools, and other inspiration
  • DataPackageExamples / a folder with examples(.json)

Talk Outline

  • Introduction
  • Why care?
  • Who cares?
  • What cares? (What are the cares?)
  • Some Experiments
    • Philly Art Museum
    • LC/MARC
    • NYPL
  • Data packaging tools
  • BTW here is a guide
  • Conclusion

Proposal

In our daily lives, we are awash in data, visualizations and analysis. Libraries, too, recognize the potential power in expressing our collections and their content as data, and we've made some strides in putting this data online to be downloaded, manipulated, recombined, and analyzed. But who is actually using and making sense of it? If we are to encourage a data revolution in libraries, we will need to make our data more accessible and malleable to more people, civilians and librarians alike, in formats that work with common tools and that make it easy for anyone to learn about the potentials and limitation in our data and collections. Having learned some tough lessons from technical and institutional challenges in generating, publishing, and stewarding open cultural heritage data, we're working on a way to look beyond current library practices to get open data out and about the world and into the hands of people of all skillsets. We're putting out a call to you to join us in breaking open datasets free from their institutional homes, repackaging them in more standard, tool-friendly data structures, and promoting them more widely. Using the Frictionless Data spec, the Internet Archive, and open data from all around the library world as an example, we'll show a possible model for liberating data for wider use.

You can’t perform that action at this time.