most citedJupyter notebooks as discovery mechanisms for open science: Citation practices in the astronomy community

21 citations · 21 across the 1 of their papers we have counts for

collaborators

5 papers

cs.DL202021 cited

Jupyter notebooks as discovery mechanisms for open science: Citation practices in the astronomy community

Morgan F. Wofford, Bernadette M. Boscoe, Christine L. Borgman +2

Citing data and software is a means to give scholarly credit and to facilitate access to research objects. Citation principles encourage authors to provide full descriptions of obj…

cs.DL2018

Using the Jupyter Notebook as a Tool for Open Science: An Empirical Study

Bernadette M. Boscoe, Irene V. Pasquetto, Milena S. Golshan +1

As scientific work becomes more computational and data intensive, research processes and results become more difficult to interpret and reproduce. In this poster, we show how the J…

cs.DL2018

Text Data Mining from the Author's Perspective: Whose Text, Whose Mining, and to Whose Benefit?

Christine L. Borgman

Given the many technical, social, and policy shifts in access to scholarly content since the early days of text data mining, it is time to expand the conversation about text data m…

cs.DL2018

Open Data, Grey Data, and Stewardship: Universities at the Privacy Frontier

Christine L. Borgman

As universities recognize the inherent value in the data they collect and hold, they encounter unforeseen challenges in stewarding those data in ways that balance accountability, t…

cs.DL2018

Digital Data Archives as Knowledge Infrastructures: Mediating Data Sharing and Reuse

Christine L. Borgman, Andrea Scharnhorst, Milena S. Golshan

Digital archives are the preferred means for open access to research data. They play essential roles in knowledge infrastructures - robust networks of people, artifacts, and instit…