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Assessment of FAIR data principles across the ACIAR research portfolio

FAIR data is Findable, Accessible, Interoperable and Reusable. Recent studies have estimated a huge opportunity cost of not applying FAIR data principles and the positive impact of FAIR on potential economic annual growth.  The project helped the Australian Centre for International Agricultural Research (ACIAR) to consider the barriers of using and applying data and the application of FAIR principles in its investment portfolio and looked at opportunities to address them and ways to improve its grant-making processes. Through an extensive examination of data management and sharing within ACIAR and its investment projects, evidence was gathered on the perception, awareness and implementation of the FAIR data principles. Based on this evidence, CABI provided recommendations on how investment outcomes could benefit from improved data management and how the FAIR data principles could be implemented in ACIAR and across its investments to increase efficiencies and in-country benefits.

Anna Szyniszewska

Neil Willsher

PlantwisePlus

Farmers’ crops are increasingly at the mercy of climate change, pests and diseases. PlantwisePlus will work to help countries predict, prepare for and prevent potential threats and reduce crop losses. We will provide comprehensive support to countries and farmers so they meet the increasing global demand for quality food in a changing climate.

Reviewing and revising CGIAR’s Open Access and Data Management Policy and Implementation Guidelines

Timely and accurate decisions are critical to the success of food systems around the world. Accessible and well-managed data promotes more efficient research and greater visibility and transparency for organizations that conduct it. With this in mind, CGIAR promised to publish their research data openly and free from restriction through the development of the CGIAR Open Access and Data Management (OADM) Policy in 2013. In this project, CABI led a review of the policy (and accompanying implementation guidelines) to determine how it was implemented across the CGIAR System and whether updates were required to remain relevant to today’s research landscape.

Enabling data access to support innovation in decision agriculture: soil health, agronomy and fertilizer

Healthy soil is critical to the growth of nutritious food and to farmers’ livelihoods. However, declining soil health is causing low productivity which leads to unstable food security and incomes. National systems can help farmers by sharing data and information on soil health which can then be used to make more informed decisions about agricultural practices, helping farmers produce healthier crops. This project aims to facilitate better data-driven decisions within the investments of Bill & Melinda Gates Foundation (BMGF) Decision Agriculture and the national systems in which the investments operate.