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Choose the right tools for your organization’s farm data collection and analysis and make the most of interoperable farm data standards with Our Sci’s help. Find examples of how this works below.

Using the right tools

  • Tool evaluation
  • Training in open source tools
  • Gap analysis

Farm data management

  • Collection and management
  • Research design
  • Design-based soil sampling plans

Learning from your data

  • Data visualization
  • Data analysis
  • Model development

Building your tech stack

Navigating the agricultural data management landscape is difficult, yet it’s more necessary than ever to get it right. Organizations supporting farmers need to understand how to collect, manage, and analyze multiple sources of farm data while maintaining data security and privacy. We can help:

  • Identify the right software for your organization and your farmers
  • Get the most out of your software tools
  • Identify and solve gaps in your data collection and management processes
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Open Source Farm Data Management

  • Data Collection and Management: Collecting and managing quality data from producers can be challenging. You need effective and intuitive tools to collect, review, and edit data safely and securely.
  • Research Design: A key to developing effective data pipelines is understanding how the data will be used in your final analysis and working backward. Experienced researchers can help design your research programs.
  • Design-Based Soil Sampling Plans: SoilStack evaluates the spatial variability of individual fields to develop transparent and replicable soil sampling plans. You can get more value from your soil samples with zone sampling, using all the information available about your land.
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How to Use Agricultural Data

  • Data Visualization: Interactive reporting dashboards for peer-to-peer benchmarking and data exploration for your stakeholders reshape the way you interpret and communicate the information on hand.
  • Data Analysis: Researchers and statisticians can help investigate trends, output customized reports and publish in peer-reviewed journals.
  • Model Development: Whether you need to convert Reflectometer measurements into soil carbon predictions or create conservation and agroecological decision support models, our team is experienced in developing and deploying models customized to your organization.

Open-Source Data Management for Organizations Serving Farmers:

Trust your work to a team with a strong track record of delivering impactful data management projects in food systems. Our Sci’s expertise spans multiple disciplines, including farm technology infrastructure consulting, agricultural research design and data analysis, data-driven land stewardship, and community of practice development.

    Farm data platforms for nonprofits

    From 2018 to 2023 we built and managed a soil and produce testing lab for the Bionutrient Institute, as well as the necessary software, sample collection, data management, and reporting infrastructure, successfully managing data from over 30,000 processed samples from 30+ states across 15+ crops. In addition to building the data pipeline, we developed an interactive data explorer so farm partners could explore how their results compared to the broader community and worked with partners to analyze the dataset and generate reports and peer-reviewed scientific journal articles.

    Check out our REPORTS and PUBLICATION

    Open-source data management for organizations serving farmers

    We built a custom data collection, management, and quality review pipeline for Pasa Sustainable Agriculture using SurveyStack and a customized FarmOS module. The pipeline supports collection, translation and quality control of farm practice and soil health data for their Soil Health Benchmarking Study, which includes over 14,000 activities from over 200 farms.

    Learn more about Pasa's study.

    Data management for regional food systems

    We are partnering with multiple organizations to develop a multi-tenant FarmOS module. The customized FarmOS module enables organizations to manage data from hundreds of farms from a single platform. Users can use quick forms to simplify data collection and use customized views to simplify quality review and reporting all while providing the producers access to their submitted data.

    Interoperable farm data standards

    Collaboration can often be hampered by a lack of interoperable data. We partnered with AxiLab, QLever, Farmier, OpenTEAM, and the USDA to develop the Common Farm Convention, a set of guidelines for collection and storage of interoperable farm practice and soil health data, including the Modus standard for labelling soil health data from labs.

    Learn more about the Common Farm Convention, a shared language for farm record data.







Partner with Us

Gain access to a diverse team with a combined 35 years in on-farm, supply chain and research agriculture working across the agricultural sector (conventional to regenerative; row crops to market farms). Our customer support specialists, data scientists, and domain experts can develop your tech stack and data management and analysis protocol. You will build a more efficient, adaptable, easy-to-use, and culturally aligned agricultural data management system that supports your farm’s growth and success.

Contact us today to learn more about how we can help you achieve your goals.

Book a time with Greg or Book a time with Dan or email us at info@our-sci.net