Bringing information science perspectives to data science: Opportunities and gaps
这篇短文指出数据科学与信息科学在学术和专业领域有许多衔接点，并呼吁信息科学界在理论理解、出版格局和社会部门映射等方面发挥更大作用。
Abstract Data science has many articulation points with information science, both in academic research contexts and in professional situations. Several recent journal special issues show the need for reflexivity in identifying and further building out these articulation points. In this brief communication, I outline aspects of data science that were not extensively discussed in detail within these special issues and deserve more attention from the JASIST community. I discuss how the information science community has important roles in building stronger theoretical understanding of data and data science, developing a more detailed understanding of the data science publishing landscape, and in mapping different manifestations of data science across societal sectors. Information science‐informed work in these areas will enable further understanding of data and data science as academic and societal phenomena.