Ethical aspects of research are steadily receiving more attention, from descriptions of research that is proposed to be done to the documentation of ongoing research to reports about research already performed. One of the ways in which this trend manifests itself is the increasingly common addition of ethics statements to publications in fields like biomedicine, psychology or ethnography. Such ethics statements in publications provide the reader with a window into some of the practical yet typically hidden aspects of research ethics. As more and more publications are becoming available in full text and in machine readable formats through repositories like Europe PubMed Central, we propose to mine the literature for ethics statements and to extract information about the various aspects of research ethics that they address. The more standardized these statements are, the better the mined materials can be converted into structured and queryable information that can in turn be used to inform efforts towards higher levels of standardization in research ethics. This paper sketches out the motivation for such mining and outlines some methodological approaches that could be leveraged towards this end.
Ethical aspects of research continue to gain attention, be that in the process of proposing and planning research or performing, documenting or publishing it. One of the ways in which this trend manifests itself is the increasingly common addition of ethics statements to publications in fields like biomedicine, psychology or ethnography. Such ethics statements in publications provide the reader with a window into some of the practical yet typically hidden aspects of research ethics. As more and more publications are becoming available in full text and in machine readable formats through repositories like Europe PubMed Central, we propose to mine the literature for ethics statements and to extract information about the various aspects of research ethics that they address. The more standardized these statements are, the better the mined materials can be converted into structured and queryable information that can in turn be used to inform efforts towards higher levels of standardization in research ethics. This paper sketches out the motivation for such mining and outlines some methodological approaches that could be leveraged towards this end.
Humanity is facing a set of existential challenges, including the handling of the parallel and interconnected crises of climate change and biodiversity loss. In an effort to address these challenges, international bodies like the Intergovernmental Panel on Climate Change (IPCC) and the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) have been created. These bodies are producing a series of reports that compile scientific information on specific aspects of climate and biodiversity research and discuss policy options and other social implications. So far, these reports have been provided in formats that make it hard to mobilize the knowledge encapsulated in them. Our contribution demonstrates technical workflows for achieving such mobilization by mining the reports. Development of these workflows is spearheaded by young researchers from the SemanticClimate team of interns based at the National Institute of Plant Genome Research (NIPGR) in New Delhi, India, and volunteers from all over the world. The tool chain includes methods for cleaning up the formatting, for extracting and processing raw text, tables and figures and annotating them semantically with the help of controlled vocabularies, ontologies and Wikidata. The semantic information and the mined information can then be combined in a way that iteratively improves both, eventually resulting in versions of the reports wherein entities like species, countries or references are semantically marked up and rendered in responsive formats. Our framework supports multilingual and specialist interests (e.g., endangered species, plant chemistry), and we will also briefly discuss how the use of standard open licensing could further contribute to mobilizing information from the reports. We are keen to work with other groups sharing these interests as well as with the teams involved in producing the reports.
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