Construction of scientific data APIs for plant diversity

<p indent="0mm">With the rapid development of big data technology and artificial intelligence technology, scientific data have become one of the core scientific and technological resources driving the transformation of scientific research paradigm. Biodiversity scientific data, like biological resources themselves, have become an important national strategic and a focal point of international competition in science, technology, and industry. To address the gap between domestic plant diversity scientific data and international mainstream databases in terms of openness and sharing, Application Programming Interfaces (APIs) for plant diversity scientific data are proposed and implemented in this study. Based on plant scientific data, including plant name, species information, picture metadata, germplasm metadata, DNA barcode, specimen metadata, as well as book and literature metadata collected and organized by the Scientific Data Center, Kunming Institute of Botany, Chinese Academy of Sciences, the APIs business process and standard specifications were designed through cataloging of diverse plant scientific data. Using a modular development method, the APIs for plant diversity scientific data were developed and built, enabling functions such as flexible combination queries of arbitrary attribute fields, efficient data retrieval, data security assurance, and interface access control. These APIs contribute to the establishment and improvement of domestic standards for plant diversity scientific data interfaces, enhance the level of data sharing level of plant diversity scientific data in China, promote research on plant diversity, and provide data and technical support for biodiversity conservation. In addition, the proposed framework can serve as a reference for the construction of scientific data APIs in other disciplinary domines.