activity
20092024
most cited10 Simple Rules for the Care and Feeding of Scientific Data

239 citations · 349 across the 10 of their papers we have counts for

collaborators

11 papers

cs.HC2024★ 16 cited

From Data Creator to Data Reuser: Distance Matters

Christine L. Borgman, Paul T. Groth

Sharing research data is necessary, but not sufficient, for data reuse. Open science policies focus more heavily on data sharing than on reuse, yet both are complex, labor-intensiv…

astro-ph.IM2021★ 8 cited

From Data Processes to Data Products: Knowledge Infrastructures in Astronomy

Christine L. Borgman, Morgan F. Wofford

We explore how astronomers take observational data from telescopes, process them into usable scientific data products, curate them for later use, and reuse data for further inquiry…

cs.DL2021

Why it takes a village to manage and share data

Christine L. Borgman, Philip E. Bourne

Implementation plans for the National Institutes of Health policy for data management and sharing, which takes effect in 2023, provide an opportunity to reflect on the stakeholders…

cs.DL2020★ 21 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★ 1 cited

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★ 1 cited

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…