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  • CHANGES Project - Fish Collection Curated Data

    work
    Creator:
    King, Katelyn, Schell, Justin, Alofs, Karen, Thomer, Andrea, Wehrly, Kevin, Lenard, Michael, and Lopez-Fernandez, Hernan
    Description:
    Michigan lakes are an important resource, however, their ecosystems are declining and projected to continue to face further impacts under future land use and climate change. Understanding how lake ecosystems respond to environmental stressors and management actions is critical for identifying resilient lakes and developing adaptation strategies. However, the ability to manage lakes is hampered by a lack of historical information. Historical lake data in Michigan were originally archived as index cards at the Michigan Department of Natural Resources. All of the images of these cards are stored in this collection, Collections, Heterogeneous data, and Next Generation Ecological Studies (CHANGES) - Michigan Lake Surveys, and the images for this specific dataset are stored in the CHANGES Project- Fish Collection (FISHc) dataset. The CHANGES project used a crowd sourcing platform called Zooniverse to transcribe at least basic information (i.e. dates, collected by) from all of these cards. Some of the card types, such as the one in this dataset, were prioritized to transcribe to produce a usable (i.e. machine-readable, uniform, and standardized) historical dataset. and Fish collection card types include targeted and non-targeted fisheries surveys by the Department of Natural Resources and this information was transcribed and curated into a csv file (fishc_data.csv). These records include information on the gear types used, the area surveyed and the length and mesh size of nets fished. The number and common name of fish species caught were recorded as well and included in a species table (fishc_species_table). A description of all data fields can be found in the fishc_datadictionary.
    Keyword:
    lake , fish, gear, abundance, and Michigan
    Citation to related publication:
    King, K.B.S., Schell, J, Wehrly, K.E., Lenard, M., Singer, R., López-Fernández, H., Thomer, A.K., & Alofs, K.M. Community science helps digitize 78 years of fish and habitat data for thousands of lakes in Michigan, USA. under review and King, K.B.S, Giacomini, H.C., Wehrly, K., López-Fernández, H., Thomer, A.K., & Alofs, K.M. (2023). Using historical fish catch data to evaluate predicted changes in relative abundance in response to a warming climate. Ecography. 2023:8.  https://doi.org/10.1111/ecog.06798
    Discipline:
    Science

  • Maintaining repositories, databases, and digital collections in memory institutions: an integrative review supplement data

    work
    Creator:
    Thomer, Andrea K. , Starks, Joseph R. , Rayburn, Alexandria, and Lenard, Michael
    Description:
    This dataset is the results from qualitatively coding the 76 articles that represent the dataset from our literature review. We categorized papers according to their approach (case study, other research project, position paper), setting (library, museum, research lab), and publication domain (library information science, computer science, domain publication, other). We also coded for the focus of the paper, and whether motivating needs were listed as a reason for migration.
    Citation to related publication:
    Thomer, AK, Starks, JS, Rayburn, A, Lenard, M. Maintaining repositories, databases, and digital collections in memory institutions: an integrative review. Accepted at the 85th Annual Association for Information Science and Technology.
    Discipline:
    Social Sciences