Announcing datapkggui v0.2.0

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I think it is already the time for the second public release of datapkggui. None of the previous milestones has been achieved in this release, because I wanted to work on two important aspects first: code cleanup and killing of running operations.

The project is also available on PyPi: http://pypi.python.org/pypi/datapkggui

What is included in this release?

  • Possibility to search for a package in TheDataHub
  • Gathering extended information about a Package and download it from there
  • Download a Package and its resources
  • Clean (=erase) a partially downloaded package if download is not successfull
  • Threaded operations, fluid GUI
  • Operations communicate nicely with the GUI; an operations can be in state “started”, “finished” or “error”
  • Possibility to Kill current running operations
  • Implementation of a (not yet complete) library that is proposed as the standard datapkg library
  • Code heavily refactored and cleaned up

What will be next?
The following are the next features that I plan to include in the next releases:

  • Creation of a Package and Resources
  • Registration of a Package in The Data Hub
  • Localization of the program
  • Integration of the Program in SofaStats

About the author

dgraziotin

Dr. Daniel Graziotin is a senior researcher (Akademischer Rat) at the University of Stuttgart, Germany. His research interests include human, behavioral, and psychological aspects of empirical software engineering, studies of science, and open science. He is associate editor at the Journal of Open Research Software and academic editor at the Research Ideas and Outcomes (RIO) journal. Daniel was awarded an Alexander von Humboldt Fellowship for postdoctoral researchers in 2017, the European Design Award (bronze) in 2016, and the Data Journalism Award in 2015. He received his Ph.D. in computer science at the Free University of Bozen-Bolzano, Italy.

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By dgraziotin

About Author

dgraziotin

Dr. Daniel Graziotin is a senior researcher (Akademischer Rat) at the University of Stuttgart, Germany. His research interests include human, behavioral, and psychological aspects of empirical software engineering, studies of science, and open science. He is associate editor at the Journal of Open Research Software and academic editor at the Research Ideas and Outcomes (RIO) journal. Daniel was awarded an Alexander von Humboldt Fellowship for postdoctoral researchers in 2017, the European Design Award (bronze) in 2016, and the Data Journalism Award in 2015. He received his Ph.D. in computer science at the Free University of Bozen-Bolzano, Italy.