A Critical Literature Review of Historic Scientific Analog Data: Uses, Successes, and Challenges

Autor: Julia A. Kelly, Shannon L. Farrell, Lois G. Hendrickson, James Luby, Kristen L. Mastel
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Data Science Journal, Vol 21, Iss 1 (2022)
Druh dokumentu: article
ISSN: 1683-1470
DOI: 10.5334/dsj-2022-014
Popis: 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.
Databáze: Directory of Open Access Journals