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Data Rescue Intern: Ziqian Han In the winter of 2025, I worked as an internship student with the Living Data Project where I archived salmon datasets for the Bottlenecks to Survival project under the Pacific Salmon Foundation. The datasets contain information on Passive Integrated Transponder (PIT) tagged salmons and detections of the tagged fishes at the Cowichan watershed in British Columbia, Canada. They are used to develop the evaluation framework and infrastructure to determine survival bottlenecks and strategies to maximize stocks for wild and hatchery Chinook, Coho and Steelhead for conservation of sustainability.  Data Rescue Intern: Megan Duchesne In November 2024, I had the privilege of working as a Data Rescue Intern with the Kamloops Naturalist Club. This project involved preserving five decades' worth of count data for species of swans and eagles throughout interior British Columbia.  Data Rescue intern: Abigail Brown
During my data rescue internship in the fall of 2024, I worked with the Centre for Community Mapping (Co-Map) to analyze the results of a nationwide survey. This survey aimed to build an inventory of freshwater ecological datasets across Canada, and assess the vulnerability of these datasets to extinction. Co-Map is an ad-hoc committee formed by researchers across several organizations concerned with the vulnerability of freshwater environmental datasets amid shifting government priorities, conflicting roles and responsibilities for environmental monitoring among organizations, staff turnover, and retirements. Data Rescue intern: Jess Lerminiaux In the fall of 2024, I had the opportunity to participate in an LDP Data Rescue internship, continuing the work done by previous intern Erica Fellin. This internship involved organizing and cleaning historical water quality data from St. Denis National Wildlife Area (SDNWA) that was collected by members of Environment and Climate Change Canada (ECCC), the University of Regina (U of R), and the University of Saskatchewan (U of S). The goal was to publish the data on DataStream, an open-access online platform specific to water quality data.  Data Rescue Intern: Claire Voss In the summer of 2024, I participated in the Living Data Project as a data rescue intern for the University of Toronto Vegetation Survey. The goal of this 6-week internship was to digitize and encode historical forest data from the second half of the 20th century, provided from the vegetation surveys of the lab of the late professor Paul Maycock. Currently housed on paper, the data required encoding to allow for their future use by the scientific community. To accomplish this, I created a relational database in Microsoft Access focusing on representing the whole of the data collected, streamlined data entry, and data quality assurance and control. Additionally, working with Peter Rodriguez, a PhD student in the Fortin Lab at the University of Toronto, we created an app in RShiny to visualize site distribution, displaying site name, coordinates, and date surveyed.  Intern: Jessica Ollinik
In the summer of 2024, I participated in a Data Rescue Internship where I archived historical ice data from Ontario lakes. Dr. Sapna Sharma of York University has a collection of long-term Ontario lake ice phenology records (freeze and thaw dates) acquired from several stewards across the province, with some Ontario ice records dating back to the mid-1800s. My internship was focused on cleaning and formatting this data for upload to DataStream. DataStream is an open-access platform where water quality data is formatted in a very consistent schema, and the data is easily accessible to the public. The data uploaded during my internship marks the first time that ice data has been included in DataStream, as their schema was only recently updated to include ice phenology parameters. This will encourage increased usage of Canadian lake ice data in global climate change analyses, and I am thankful to have been a part of this unique contribution to ice phenological research. Data rescue intern: Sandra Cuadros
In 2024, I had the opportunity to participate in a LDP Data rescue internship.. The original goal of the internship was for me to stay in New Brunswick for six weeks during the summer and get familiarized with historical archived data of the budworm project – a project that aims to monitor budworm populations in the east (mainly New Brunswick and Quebec), and therefore detect outbreaks to address them before they expand. This ongoing project has been collecting data for several decades. The project is impressive for several reasons, one of them being the temporal scale of it, and this is a clear example that long-term monitoring of populations is essential for conservation efforts. |
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