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Historical Scientific Analog Data: Life Sciences Faculty’s Perspectives on Management, Reuse and Preservation Cover

Historical Scientific Analog Data: Life Sciences Faculty’s Perspectives on Management, Reuse and Preservation

Open Access
|Dec 2020

References

  1. 1Allen, B and Mandrak, NE. 2019. Historical changes in the fish communities of the Credit River watershed. Aquatic Ecosystem Health & Management, 22(3): 316328. DOI: 10.1080/14634988.2019.1672463
  2. 2Bosilovich, MG, et al. 2013. On the Reprocessing and Reanalysis of Observations for Climate. In: Asrar, GR and Hurrell, JW (eds.), Climate Science for Serving Society: Research, Modeling and Prediction Priorities. Dordrecht: Springer Netherlands, pp. 5171. DOI: 10.1007/978-94-007-6692-1_3
  3. 3Bowser, CJ. 1986. Historic data sets: lessons from the past, lessons for the future. In: Michener, WK (ed.), Research Data Management in the Ecological Sciences. Columbia: University of South Carolina Press, pp. 155179.
  4. 4Bradshaw, E, Rickards, L and Aarup, T. 2015. Sea level data archaeology and the Global Sea Level Observing System (GLOSS). GeoResJ. (Rescuing Legacy Data for Future Science), 6: 916. DOI: 10.1016/j.grj.2015.02.005
  5. 5Buma, B, et al. 2019. 100 yr of primary succession highlights stochasticity and competition driving community establishment and stability. Ecology. DOI: 10.1002/ecy.2885
  6. 6Burgi, M, Steck, C and Bertiller, R. 2010. Evaluating a Forest Conservation Plan with Historical Vegetation Data A Transdisciplinary Case Study from the Swiss Lowlands. Gaia-Ecological Perspectives for Science and Society, 19(3): 204212. DOI: 10.14512/gaia.19.3.10
  7. 7Chen, X. 2019. Dynamics of forest composition and growth in Alabama of USA under human activities and climate fluctuation. Journal of Sustainable Forestry. Philadelphia: Taylor & Francis Inc, 38(1): 5467. DOI: 10.1080/10549811.2018.1497998
  8. 8Clavero, M and Delibes, M. 2013. Using historical accounts to set conservation baselines: the case of Lynx species in Spain. Biodiversity and Conservation, 22(8): 16911702. DOI: 10.1007/s10531-013-0506-4
  9. 9Coulter, A, et al. 2020. Using harmonized historical catch data to infer the expansion of global tuna fisheries. Fisheries Research, 221: 105379. DOI: 10.1016/j.fishres.2019.105379
  10. 10Farrell, SL, et al. 2019. Resurfacing Historical Scientific Data: A Case Study Involving Fruit Breeding Data. Journal of eScience Librarianship, 8(2). DOI: 10.7191/jeslib.2019.1171
  11. 11Griffin, ER. 2015. When are Old Data New Data? GeoResJ, 6: 9297. DOI: 10.1016/j.grj.2015.02.004
  12. 12Gross, KL and Pake, CE. 1995. Final report of the Ecological Society of America committee on the future of Long-term Ecological Data (FLED). Washington, DC: Ecological Society of America, p. 122.
  13. 13Maday, C and Moysan, M. 2014. Records management for scientific data. Archives and Manuscripts, 42(2): 190192. DOI: 10.1080/01576895.2014.911686
  14. 14Mayernik, MS, et al. 2020. Risk Assessment for Scientific Data. Data Science Journal. Ubiquity Press, 19(1): 10. DOI: 10.5334/dsj-2020-010
  15. 15McGowan, S, et al. 2012. Humans and climate as drivers of algal community change in Windermere since 1850. Freshwater Biology, 57(2): 260277. DOI: 10.1111/j.1365-2427.2011.02689.x
  16. 16Wilkinson, M, et al. 2016. The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3: 160018. DOI: 10.1038/sdata.2016.18
Language: English
Submitted on: May 18, 2020
Accepted on: Nov 25, 2020
Published on: Dec 15, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Shannon L. Farrell, Lois G. Hendrickson, Kristen L. Mastel, Julia A. Kelly, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.