About this Research Topic
Understanding the impact of a research program(s) is of interest to a broad community of stakeholders, such as funders, institutions, biotech, policy makers, and practitioners of research evaluation. While bibliometrics is frequently used to estimate research impact, its limitations, when used alone, have been extensively documented in the literature. Integrating additional research outputs and data types enables a more comprehensive approach for studying impact. For example, linking awards (grants and contracts from funders), publications, patents, clinical trials, clinical guidelines, and registered medical products can provide a more complete picture of the impact of a research program in the biomedical research field. These integrated data be presented in document-centric or person-centric fashion, and relationships between data items can be traced using unique identifiers and semantic techniques. Development of new methods for data acquisition, curation, and integration supports analytics for impact assessment, emergent topics, strengths, and weaknesses.
An aim of this Research Topic is to provide centralized and collaborative access to usage cases with high quality data and evaluation, to inform and support future users conducting research evaluation studies. We welcome contributions from methods developers, data and solution providers, and practitioners that describe and evaluate research experiences (particularly using linked data), state-of-the-art methods, proven solutions, and identify challenges under practical conditions.
Keywords: data mining, research evaluation, research output, science of science, impact
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.