A Pilot Study to Locate Historic Scientific Data in a University Archive
DOI:
https://doi.org/10.29173/istl2728Keywords:
University archives, Analog data, Historic data, Research dataAbstract
Historic data in analog (or print) format is a valuable resource that is utilized by scientists in many fields. This type of data may be found in various locations on university campuses including offices, labs, storage facilities, and archives. This study investigates whether biological data held in one institutional university archives could be identified, described, and thus made potentially useful for contemporary life scientists. Scientific data was located and approximately half of it was deemed to be of some value to current researchers and about 20% included enough information for the study to be repeated. Locating individual data sets in the collections at the University Archives at the University of Minnesota proved challenging. This preliminary work points to possible ways to move forward to make raw data in university archives collections more discoverable and likely to be reused. It raises questions that can help inform future work in this area.
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Akmon, D., Zimmerman, A., Daniels, M., & Hedstrom, M. (2011). The application of archival concepts to a data-intensive environment: Working with scientists to understand data management and preservation needs. Archival Science, 11(3–4), 329–348. https://doi.org/10.1007/s10502-011-9151-4
Assante, M., Candela, L., Castelli, D., & Tani, A. (2016). Are scientific data repositories coping with research data publishing? Data Science Journal, 15. http://doi.org/10.5334/dsj-2016-006
Brazdil, R., Chroma, K., Valasek, H., Dolak, L., & Reznickova, L. (2016). Damaging hailstorms in South Moravia, Czech Republic, in the seventeenth to twentieth centuries as derived from taxation records. Theoretical and Applied Climatology, 123(1–2), 185–198. https://doi.org/10.1007/s00704-014-1338-1
Buma, B. (2018). The hidden value of paper records. Science, 360(6389), 613. https://doi.org/10.1126/science.aat5382
Buma, B., Bisbing, S., Krapek, J., & Wright, G. (2017). A foundation of ecology rediscovered: 100 years of succession on the William S. Cooper plots in Glacier Bay, Alaska. Ecology, 98(6), 1513–1523. https://doi.org/10.1002/ecy.1848
Buma, B., Bisbing, S. M., Wiles, G., & Bidlack, A. L. (2019). 100 yr of primary succession highlights stochasticity and competition driving community establishment and stability. Ecology, 100(12). Article e02885. https://doi.org/10.1002/ecy.2885
Carter, R. G. S. (2006). Of things said and unsaid: Power, archival silences, and power in silence. Archivaria, 61, 215–233. https://archivaria.ca/index.php/archivaria/article/view/12541
Duff, W. M., & Johnson, C. A. (2002). Accidentally found on purpose: Information-seeking behavior of historians in archives. The Library Quarterly, 72(4), 472–496. http://www.jstor.org/stable/40039793
Engelhard, G. H., Righton, D. A., & Pinnegar, J. K. (2014). Climate change and fishing: A century of shifting distribution in North Sea cod. Global Change Biology, 20(8), 2473–2483. https://doi.org/10.1111/gcb.12513
Farrell, S. L., & Kelly, J. A. (2018). Identifying potential solutions to increase discoverability and reuse of analog datasets in various campus locations. Issues in Science and Technology Librarianship, 88, https://doi.org/10.5062/F4PC30NR
Gracy, K. F. (2015). Archival description and linked data: A preliminary study of opportunities and implementation challenges. Archival Science, 15(3), 239–294. https://doi.org/10.1007/s10502-014-9216-2
Griffin, E. R. (2015). When are old data new data? GeoResJ, 6, 92–97. https://doi.org/10.1016/j.grj.2015.02.004
Grivell, L. (2006). Seek and you shall find? EMBO reports, 7(1), 10-13. https://doi.org/10.1038/sj.embor.7400605
Haas, J. K., Simmons, B. T., & Samuels, H. W. (1985). Appraising the records of modern science and technology: A guide. Massachusetts Institute of Technology. https://hdl.handle.net/2027/mdp.39015011296897
Hoffman, K. M., Clarke, C. T., Shiue, H. S. Y., Nicholas, P., Shaw, M., & Fenlon, K. (2020). Data rescue: An assessment framework for legacy research collections. University of Maryland. https://doi.org/10.13016/1zmx-ghhq
Janzen, M. E. (1980). Scientific records in a "general" repository. The Midwestern Archivist, 5(1), 29–37. https://www.jstor.org/stable/41101499
Kearney, C., & Mullins, A., III. (2018, June 21-26). How can a historical archive support STEM research? [Poster Presentation]. American Library Association Annual Conference, New Orleans, Chicago, IL, United States, https://www.eventscribe.com/2018/ALA-Annual/fsPopup.asp?Mode=posterinfo&PosterID=153408
Kelly, J. A., Farrell, S. L., Hendrickson, L. G., Luby, J. J., & Mastel, K. L. (2022). A critical literature review of historic scientific analog data: Uses, successes, and challenges. Data Science Journal, 21, 1–11. http://doi.org/10.5334/dsj-2022-014
Kelly, M. (2016). Rescuing and sharing historical vegetation data for ecological analysis: The California vegetation type mapping project. Biodiversity Informatics, 11(1), 40–62. https://doi.org/10.17161/bi.v11i0.5886
Krämer, T., Papenmeier, A., Carevic, Z., Kern, D., & Mathiak, B. (2021). Data-seeking behaviour in the social sciences. International Journal on Digital Libraries, 22, 175-195. https://doi.org/10.1007/s00799-021-00303-0
Lauriault, T. P., Craig, B. L., Taylor, D. F., & Pulsifer, P. L. (2007). Today’s data are part of tomorrow’s research: Archival issues in the sciences. Archivaria, 64, 123–179. https://archivaria.ca/index.php/archivaria/article/view/13156
McClenachan, L., Ferretti, F., & Baum, J. K. (2012). From archives to conservation: Why historical data are needed to set baselines for marine animals and ecosystems. Conservation Letters, 5(5), 349–359. https://doi.org/10.1111/j.1755-263X.2012.00253.x
McGowan, S., Barker, P., Haworth, E. Y., Leavitt, P. R., Maberly, S. C., & Pates, J. (2012). Humans and climate as drivers of algal community change in Windermere since 1850. Freshwater Biology, 57(2), 260–277. https://doi.org/10.1111/j.1365-2427.2011.02689.x
Niu, J. (2016). Aggregate control of scientific data. Archives & Records, 37(1), 53–64. https://doi.org/10.1080/23257962.2016.1145578
Noonan, D., & Chute, T. (2014). Data curation and the University Archives. American Archivist, 77, 201–240. https://doi.org/10.17723/aarc.77.1.m49r46526847g587
Pagnotta, A., Schaefer, B. E., Xiao, L., Collazzi, A. C., & Kroll, P. (2009). Discovery of a second nova eruption of v2487 ophiuchi. The Astronomical Journal, 138(5), 1230–1234. https://doi.org/10.1088/0004-6256/138/5/1230
Pienta, A. M., Akmon, D., Noble, J., Hoelter, L., & Jekielek, S. (2017). A data-driven approach to appraisal and selection at a domain data repository. International Journal of Digital Curation, 12(2) p. 366. https://doi.org/10.2218/ijdc.v12i2.500
Schoenebeck, S., & Conway, P. (2020). Data and power: Archival appraisal theory as a framework for data preservation. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW2), 1–18. https://doi.org/10.1145/3415233
Shiue, H. S. Y., Sorensen, A., Clarke, C. T., & Fenlon, K. (2021, November 3-11). Recovering and reusing archival data for science: Investigating curatorial practices across disciplines [Poster presentation]. Research Data Alliance Virtual Plenary 18. https://doi.org/10.13016/znk2-rjnw
Sparks, T. H. (2007). Lateral thinking on data to identify climate impacts. Trends in Ecology & Evolution, 22(4), 169–171. https://doi.org/10.1016/j.tree.2007.01.003
Torres-Vila, L. M., Ferrero-Garcia, J. J., Martin-Vertedor, D., Moral-Garcia, F. J., Bueno, P. P., Morillo-Barragan, J., Sanchez-Gonzalez, A., & Mendiola, F. J. (2015). Sparrow plagues in Extremadura (western Spain) over four centuries (1501-1900): A spatio-temporal analysis of records from historical archives. Ardeola, 62(1), 19–33. https://doi.org/10.13157/arla.62.1.2015.19
Wiebe, P. H., & Allison, M. D. (2015). Bringing dark data into the light: A case study of the recovery of Northwestern Atlantic zooplankton data collected in the 1970s and 1980s. GeoResJ, 6, 195–201. https://doi.org/10.1016/j.grj.2015.03.001
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Copyright (c) 2023 Shannon Farrell, Julia Kelly, Lois Hendrickson, Kristen Mastel
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