26 Matching Annotations
  1. Sep 2024
    1. Examples of these sources would include an established digital walletprovider, or an exhaustive catalogue of digital credentials that are available, such as the repositoryhosted by Credential Engine. Having the curricular data source, which has a connection to the parsingcompanies, also create a connection to credential information opens up a connection, albeit anindirect one, between the non-degree credential information and the parsing activity. Instead ofreceiving just a course name from the resume parser, the intermediary can also receive a non-degreecredential identifier that is sent to the credential data source to look up and return skills information

      Opportunity to go deep here. Bread crumb is to check out the issuer directory with Credential Engine, where they are inviting institutions to publish details about their credentials in a standardized format (CTDL) that will hopefully one day be consumed by connections like those hinted at here.

    2. The lack of reliable and consistent information about non-degree credentials presented by candidatesin the hiring process also meant that workshop participants had no information to classify candidatespost-hire. This gap made it impossible to know who among the employee base had earned whichcredentials. Without this basic profile data, HR leaders are unable to gather much-needed insight intowhat types of credentials appear to prepare candidates best for a given role or which credentialsappear to be more effective at training than others

      This could play into Credential Quality Assurance work in Higher Ed.

  2. Feb 2024
    1. The mainfactors limiting the level of trust include: doubts about the quality of somemicrocredentials, no agreed standards for quality assurance, and uncertainty as towhether certain microcredentials will be recognised by national authorities,employers or education and training providers

      Seeds of doubt on MC quality

  3. Oct 2023
  4. Apr 2022
    1. The Lancet. (2021, April 16). Quantity > quality? The magnitude of #COVID19 research of questionable methodological quality reveals an urgent need to optimise clinical trial research—But how? A new @LancetGH Series discusses challenges and solutions. Read https://t.co/z4SluR3yuh 1/5 https://t.co/94RRVT0qhF [Tweet]. @TheLancet. https://twitter.com/TheLancet/status/1383027527233515520

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  10. Jan 2021
    1. Mambrini. A. Baronchelli. A. Starnini. M. Marinazzo. D. De Domenico, M. (2020) .PRINCIPIA: a Decentralized Peer-Review Ecosystem. Retrieved from: chrome-extension://bjfhmglciegochdpefhhlphglcehbmek/pdfjs/web/viewer.html?file=https%3A%2F%2Farxiv.org%2Fpdf%2F2008.09011.pdf

  11. Nov 2020
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  18. Nov 2018
    1. In the academic setting especially, a premium will beplaced on clinical quality improvement, the develop-ment of practice guidelines, and outcomes research,not only to provide the physician with a creative out-let and a potential source of funding during thenonclinical months but also to give the academiccenter a practical research-and-development arm
  19. May 2018
    1. Negative values included when assessing air quality In computing average pollutant concentrations, EPA includes recorded values that are below zero. EPA advised that this is consistent with NEPM AAQ procedures. Logically, however, the lowest possible value for air pollutant concentrations is zero. Either it is present, even if in very small amounts, or it is not. Negative values are an artefact of the measurement and recording process. Leaving negative values in the data introduces a negative bias, which potentially under represents actual concentrations of pollutants. We noted a considerable number of negative values recorded. For example, in 2016, negative values comprised 5.3 per cent of recorded hourly PM2.5 values, and 1.3 per cent of hourly PM10 values. When we excluded negative values from the calculation of one‐day averages, there were five more exceedance days for PM2.5 and one more for PM10 during 2016.