IDEAS home Printed from https://ideas.repec.org/p/osf/socarx/4u6we.html
   My bibliography  Save this paper

Overview of the “Syntucky” data for the participants of the Data literacy & Evidence building class by NYU/Accenture/UMD/KYStats/Coleridge Initiative

Author

Listed:
  • Haensch, Anna-Carolina

Abstract

This document was written for participants of the DATA LITERACY & EVIDENCE BUILDING class by NYU/Accenture/UMD/KYStats/Coleridge Initiative, providing a focused overview of the synthetic data in the class. The instructors decided to use synthetic data for its accessibility and relevance. This document does not delve into the complexities of synthetic data, but rather, it recounts the key aspects that are important for participants when using synthetic data in class. This includes a comprehensive glossary of terms related to synthetic data and privacy, which will help participants navigate. In the following sections, we will summarize the focus of the class, as it helps in understanding the chosen dataset as well as the decision for synthetic data. We will then describe the data more in detail, beginning with an overview of the original data structure, sourced from the Kentucky Postsecondary Education Data System (KPEDS). We will then focus on our target sample, which comprises cohorts that commenced studying in Kentucky between 2013 and 2015, and a cross-sectional snapshot was taken in 2015. Subsequently, we will delve into the data preprocessing techniques implemented to clean and organize the dataset for the class. Lastly, we will discuss the synthetic data generation methods.

Suggested Citation

  • Haensch, Anna-Carolina, 2023. "Overview of the “Syntucky” data for the participants of the Data literacy & Evidence building class by NYU/Accenture/UMD/KYStats/Coleridge Initiative," SocArXiv 4u6we, Center for Open Science.
    • Handle: RePEc:osf:socarx:4u6we
    DOI: 10.31219/osf.io/4u6we
    as

    Download full text from publisher

    File URL: https://osf.io/download/64c6f933c7ab290e91d4e05e/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/4u6we?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Darolia, Rajeev & Guo, Chuanyi & Kim, Youngran, 2023. "The Labor Market Returns to Very Short Postsecondary Certificates," IZA Discussion Papers 16081, Institute of Labor Economics (IZA).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      More about this item

      Statistics

      Access and download statistics

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:socarx:4u6we. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://arabixiv.org .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.