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Data management in Social Science

 

Have you had a situation where you were interested in accessing a particular dataset, but the public access was unfortunately not allowed? Or have you had problems of opening a dataset because it was stored in an obsolete file format? Data management covers the knowledge of best practices in managing your data, including metadata, long-term preservation, data re-usage, and data ethical issues. In this workshop, we will walk through several major components in data management in the context of social science. Also, you will have the opportunity of creating your own data management plan in this workshop by utilizing the DMP Tool.

Data Management in Social Science slides

Expected Outcomes:

  1. Understand the best practices in managing social science data, e.g., naming, storing, etc
  2. Understand the importance of long-term preservation and accessibility to other researchers
  3. Understand metadata standards in social science and codebooks
  4. Create a preliminary data management plan by using the DMP tool

Tools/Software: Laptop

Date:
Wednesday, February 12, 2020
Time:
2:00pm - 3:30pm
Location:
Digital Studio Conference Space
Campus:
Chestnut Hill Campus
Categories:
  Digital Scholarship  
Registration has closed.

Event Organizer

Profile photo of Jiebei Luo
Jiebei Luo