654 Matching Annotations
  1. Apr 2019
    1. Powered by Data wrote 4 of the resources on this page. "Measuring Outcomes" is about admin data. "Understanding the Philanthropic Landscape" is about open data - sp. open grants data. "Effective Giving" is an intro. And "Emerging Data Practices" is a tech backgrounder from June 2015.

    1. A Vision for Scholarly Communication Currently, there is a strong push to address the apparent deficits of the scholarly communication system. Open Science has the potential to change the production and dissemination of scholarly knowledge for the better, but there is no commonly shared vision that describes the system that we want to create.

      A Vision for Scholarly Communication

    1. Instead of encouraging more “data-sharing”, the focus should be the cultivation of “data infrastructure”,¹⁴ maintained for the public good by institutions with clear responsibilities and lines of accountability.

    1. An attractive Interface for browsing and reading Wikibase information

      blog post with feature requirements and story for improved wikibase interface. Talks about reasonator

    1. Seized with the desire to improve the visibility of Canadian music in the world, a ragtag band of librarians led by Stacy Allison-Cassin set out to host Wikipedia edit-a-thons in the style of Art+Feminism, but with a focus on addressing Canadian music instead. Along the way, they recognized that Wikidata offered a low-barrier, high-result method of making that data not only visible but reusable as linked open data, and consequently incorporated Wikidata into their edit-a-thons. This is their story.

    1. When we think about caring for our neighbors, we think about local churches, and charities—systems embedded in our communities. But I see these technological systems as one of the main ways that we take care of each other at scale. It’s how Americans care for all three hundred million of our neighbors, rich or poor, spread over four million square miles, embedded in global supply chains.
  2. Mar 2019
    1. The main purpose of the Discovery IN is to provide interfaces and other user-facing services for data discovery across disciplines. We explore new and innovative ways of enabling discovery, including visualizations, recommender systems, semantics, content mining, annotation, and responsible metrics. We apply user involvement and participatory design to increase usability and usefulness of the solutions. We go beyond academia, involving users from all stakeholders of research data. We create FAIR and open infrastructures, following the FAIR principles complemented by the principles of open source, open data, and open content, thus enabling reuse of interfaces and user-facing services and continued innovation. Our main objectives are:
    1. Engaging the Public Through Wikipedia: Strategies and Tools Show affiliations

      Engaging the Public Through Wikipedia: Strategies and Tools

    1. There is a serious crisis of discoverability. To overcome it, we have to tear down the walls of dark knowledge and invest in the open discovery infrastructure, esp. user interfaces.

    1. Mithering about the unmodellable. "Sometime late last year I went to the Euro IA conference with Anya and Silver to give a talk on the domain modelling work we've been doing in UK Parliament."

    1. Psychological safety is an organizational climate in which individuals feel they can speak truthfully and openly about problems without fear of reprisal.

    1. An emerging body of evidence featuring the social side of evidence use—infrastructure, capacity, relationships, and trust—points the way toward a more nuanced understanding of evidence use.

    1. Super cool. The difference between annotating the web, and annotating academic scholarship / science.

  3. Feb 2019
    1. It is, I promise, worse than you think. If your anxiety about global warming is dominated by fears of sea-level rise, you are barely scratching the surface of what terrors are possible, even within the lifetime of a teenager today.