Announcing DataDeck v0.3.1

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Finally, I was able to work on DataDeck and release version 0.3.1 to the public. During the last 10 days I favored working on the new dpm library. It is difficult for me to contribute to both the projects because DataDeck is completely dpm dependent. Meanwhile, dpm is facing many internal changes. It is switching from a manager for open knowledge packages to a git-styled manager to “clone”, modify and submit packages. I am very happy about the new changes because it will really help people to contribute to OpenData projects.

Here is the changelog for DataDeck v0.3.1:

  • Copes well if dpm has not been installed yet.
  • Deleted internal library to favour dpm.lib
  • Fixed bug when overwriting packages
  • Added initial settings using ~/.dpmrc
  • Added selection of default path for downloading packages
  • Added entry point for running DataDeck from SofaStats
  • Removed dpm dependency from setup.py because it has not been officially released yet

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.