Standardized and Open Data
- Home
- who we are
- behaviors
Standardized and Open Data
![Standardized and Open Data](/images/behaviors/fair.webp)
Standardized and Open Data
From unFAIR and disorganized data/tools to standardized and open FAIR (Findable, Accessible, Interoperable, Reusable) data and tools
At EiA, we spearhead a transformative journey in agronomy research and development, transitioning from unFAIR and disorganized data/tools to a paradigm where standardized and open FAIR (Findable, Accessible, Interoperable, Reusable) data and tools form the cornerstone of our approach. Traditionally, agronomy data and tools have been collected and developed without agreed standards, limiting their accessibility and adherence to FAIR principles. In response, EiA is committed to establishing a robust infrastructure that adheres to FAIR and open access principles. We will host data and tools following community standards and governance practices, ensuring their widespread availability. Despite an increased recognition of the value of FAIR and open data, the agronomy sector still grapples with unFAIR data practices and restricted resource access. EiA recognizes the critical role of data science and allied technologies in agilely developing agronomic solutions at the envisioned scale. We are dedicated to not only sourcing and reusing existing data assets but also collecting new, standardized data. These assets will be open, adhering to community standards championed by EiA to unite agronomists in a coherent data-to-analytics infrastructure based on open access and good governance. Departing from prevailing bespoke and fragmented approaches, EiA’s commitment to open-source analytics solutions, by default, marks a significant shift. These solutions are designed to streamline the journey from data to insight, offering flexibility and collaborative computational capabilities suitable for low-bandwidth situations. With generic, modular workflows and consistent protocols, our ‘turnkey solutions’ are tailored for broad applicability across agro-ecologies, countries, crops, and cropping systems. This approach lowers barriers for new Use Cases, enhances efficiency, and accelerates the delivery of effective agronomic applications. At EiA, we are driving the evolution towards standardized and open FAIR data and tools, redefining the future of agronomy research and development.