A Pilot Study to Locate Historic Scientific Data in a University Archive

Authors

DOI:

https://doi.org/10.29173/istl2728

Keywords:

University archives, Analog data, Historic data, Research data

Abstract

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.

Downloads

Download data is not yet available.

Author Biographies

Shannon Farrell, University of Minnesota

Natural Resources Librarian and Data Curator

Lois Hendrickson, University of Minnesota

Curator, Wangensteen Historical Library of Biology and Medicine

Kristen Mastel, University of Minnesota

Outreach and Instruction Librarian

References

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

Downloads

Published

2023-05-15

How to Cite

Farrell, S., Kelly, J., Hendrickson, L., & Mastel, K. (2023). A Pilot Study to Locate Historic Scientific Data in a University Archive. Issues in Science and Technology Librarianship, (103). https://doi.org/10.29173/istl2728

Issue

Section

Refereed Articles
Share |