Jupyter notebooks as discovery mechanisms for open science: Citation practices in the astronomy community
| Autor: | Christine L. Borgman, Milena S. Golshan, Morgan F. Wofford, Bernadette M. Boscoe, Irene V. Pasquetto |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
Open science General Computer Science business.industry Computer science 05 social sciences General Engineering 050301 education Astronomy Computer Science - Digital Libraries 02 engineering and technology Metadata Software Data access Knowledge extraction Publishing Citation analysis 0202 electrical engineering electronic engineering information engineering Digital Libraries (cs.DL) 020201 artificial intelligence & image processing Citation business 0503 education GeneralLiterature_REFERENCE(e.g. dictionaries encyclopedias glossaries) |
| Popis: | 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 objects, with stable links, in their papers. As Jupyter notebooks aggregate data, software, and other objects, they may facilitate or hinder citation, credit, and access to data and software. We report on a study of references to Jupyter notebooks in astronomy over a 5-year period (2014-2018). References increased rapidly, but fewer than half of the references led to Jupyter notebooks that could be located and opened. Jupyter notebooks appear better suited to supporting the research process than to providing access to research objects. We recommend that authors cite individual data and software objects, and that they stabilize any notebooks cited in publications. Publishers should increase the number of citations allowed in papers and employ descriptive metadata-rich citation styles that facilitate credit and discovery. |
| Databáze: | OpenAIRE |
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