Dr. Kathleen Liang�W.K. Kellogg Distinguished Professor of Sustainable Agriculture�Director, Center for Environmental Farming Systems�North Carolina Agricultural and Technical State University�336 285 4683 cliang@ncat.edu
Transformative design of effective supply chains under the bioeconomy concept
Key points
Bioeconomy
Conduct of the Supply Chain
The "conduct" of a supply chain refers to the ethical behavior and responsible practices of the organizations and individuals within it, encompassing how they manage and execute activities from sourcing raw materials to delivering finished products to consumers. Key aspects of supply chain conduct include adherence to labor standards, human rights, environmental responsibility, and business ethics to foster a sustainable and trustworthy system. (Generative AI)
Conduct of the Supply Chain - Bioeconomy
Construction of the Supply Chain
Actions
Entities
Impacts
Input
Feedback
Coordination
In 2016, the ‘FAIR Guiding Principles for scientific data management and stewardship’ were published in Scientific Data. The authors intended to provide guidelines to improve the Findability, Accessibility, Interoperability, and Reuse of digital assets. The principles emphasise machine-actionability (i.e., the capacity of computational systems to find, access, interoperate, and reuse data with none or minimal human intervention) because humans increasingly rely on computational support to deal with data as a result of the increase in volume, complexity, and creation speed of data.
A practical “how to” guidance to go FAIR can be found in the Three-point FAIRification Framework.
Findable�The first step in (re)using data is to find them. Metadata and data should be easy to find for both humans and computers. Machine-readable metadata are essential for automatic discovery of datasets and services, so this is an essential component of the FAIRification process.
F1. (Meta)data are assigned a globally unique and persistent identifier
F2. Data are described with rich metadata (defined by R1 below)
F3. Metadata clearly and explicitly include the identifier of the data they describe
F4. (Meta)data are registered or indexed in a searchable resource
Accessible�Once the user finds the required data, she/he/they need to know how they can be accessed, possibly including authentication and authorisation.
A1. (Meta)data are retrievable by their identifier using a standardised communications protocol
A1.1 The protocol is open, free, and universally implementable
A1.2 The protocol allows for an authentication and authorisation procedure, where necessary
A2. Metadata are accessible, even when the data are no longer available
Interoperable�The data usually need to be integrated with other data. In addition, the data need to interoperate with applications or workflows for analysis, storage, and processing.
I2. (Meta)data use vocabularies that follow FAIR principles
I3. (Meta)data include qualified references to other (meta)data
Reusable�The ultimate goal of FAIR is to optimise the reuse of data. To achieve this, metadata and data should be well-described so that they can be replicated and/or combined in different settings.
R1. (Meta)data are richly described with a plurality of accurate and relevant attributes
R1.1. (Meta)data are released with a clear and accessible data usage license
R1.2. (Meta)data are associated with detailed provenance
R1.3. (Meta)data meet domain-relevant community standards
The principles refer to three types of entities: data (or any digital object), metadata (information about that digital object), and infrastructure. For instance, principle F4 defines that both metadata and data are registered or indexed in a searchable resource (the infrastructure component).
Examples of Innovative Supply Chain and Opportunities of Community Development
Need everyone’s engagement
Design an entrepreneurial supply chain�Choose one type of composting
Examples of Future Composting��- new gaps and opportunities
Community-based Precision Composting
How about General Small Businesses?
Rural Development (RD) RD invested over $200 million in bioeconomy projects, including advanced biofuels, biofuel infrastructure, renewable fertilizer production, and biogas and biomass projects; as well as greatly expanded the BioPreferred® Program
Research, Education, and Economics (REE) USDA National Institute of Food and Agriculture and USDA Agricultural Research Service programs invested over $500 million in new research and development to advance the Nation’s bioeconomy. Programs include the Bioproduct Pilot Program, the Agriculture and Food Research Initiative, and the Biomass Research Centers and Utilization Centers in a wide range of topics
Natural Resources and Environment (NRE) The USDA Forest Service made catalytic investments in the wood-based bioeconomy to support land management, wildfire risk reduction, climate adaptation, and local economies, totaling $72 million across 160 projects to support innovation, market development, and new and expanded manufacturing capacity to bolster the critical connection between healthy and resilient Federal, State, Tribal, and private forests and the wood products economy
Farm Production and Conservation (FPAC) The USDA Risk Management Agency adopted new flexibilities to insure double-crop soybeans in approximately 845 additional counties, or on roughly 32 percent more acres in 2023 when compared to prior years (2014-2022). The agency also expanded insurance for camelina and carinata in 10 States, enabling farmers to supply these oilseed crops to meet increasing demand for biofuels
What could we work together to build a stronger bioeconomy and community?
Some key Issues
Enrich People Imagine Place Cultivate Prosperity
Grow (Education, Outreach, Training)
knowledge, information, networks, opportunity