Journal:A critical literature review of historic scientific analog data: Uses, successes, and challenges
| Full article title | A critical literature review of historic scientific analog data: Uses, successes, and challenges |
|---|---|
| Journal | Data Science Journal |
| Author(s) | Kelly, Julia A.; Farrell, Shannon L.; Hendrickson, Lois G.; Luby, James; Mastel, Kristen L. |
| Author affiliation(s) | University of Minnesota |
| Primary contact | Email: jkelly at umn dot edu |
| Year published | 2022 |
| Volume and issue | 21 |
| Article # | 14 |
| DOI | 10.5334/dsj-2022-014 |
| ISSN | 1683-1470 |
| Distribution license | Creative Commons Attribution 4.0 International |
| Website | https://datascience.codata.org/articles/10.5334/dsj-2022-014 |
| Download | https://storage.googleapis.com/jnl-up-j-dsj-files/journals/1/articles/1444/submission/proof/1444-1-10637-1-10-20220728.pdf (PDF) |
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This article should be considered a work in progress and incomplete. Consider this article incomplete until this notice is removed. |
Abstract
For years, scientists in fields from climate change to biodiversity to hydrology have used older data to address contemporary issues. Since the 1960s, researchers, recognizing the value of this data, have expressed concern about its management and potential for loss. No widespread solutions have emerged to address the myriad issues around its storage, access, and findability. This paper summarizes observations and concerns of researchers in various disciplines who have articulated problems associated with analog data and highlights examples of projects that have used historical data. The authors also examined selected papers to discover how researchers located historical data and how they used it. While many researchers are not producing huge amounts of analog data today, there are still large volumes of it that are at risk. To address this concern, the authors recommend the development of best practices for managing historic data. This will take communication across disciplines and the involvement of researchers, departments, institutions, and associations in the process.
Keywords: analog data, historic data, data policies, risk of loss, data rescue, dark data
Introduction
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Notes
This presentation is faithful to the original, with only a few minor changes to presentation. In some cases important information was missing from the references, and that information was added.
