Enriching metadata of an institutional research repository: Mining grey literature/technical reports for research funding-related information
Author(s)
Issue Date
June 15, 2018
Publisher
euroCRIS
Source
"FAIRness of Research Information": Proceedings of the 14th International Conference on Current Research Information Systems (CRIS2018)
Procedia Computer Science 146: 112-122 (2019)
Type
Presentation
Abstract
Funding acknowledgements in research papers are an important resource not only for studying the impact of funding on research, but they also present a utility for mapping the funding landscape, co-funding activities,
the portfolios of certain funding agencies as well as the research performance of scientists and institutions. Even though the major literature databases Scopus and Web of Science have indexed funding
acknowledgements for a number of years, the presence of funding acknowledgements varies in depth and lacks consistency in its usage and detail in research papers.
As it becomes increasingly important for research organizations to show the impact of their research to donor agencies, grey literature/technical reports can serve as a valuable source of information of an organization to
complement the missing or incomplete funding acknowledgements in their research information management systems (RIMs). In addition, grey literature can serve as a means to bridge the delay between the research activities and their publication or even the possibility that some research may never be published.
The purpose of this paper is to demonstrate how funding-related information can be extracted from grey literature through text mining and incorporated into the corresponding field of MARC 21 bibliographic
records of an institutional research repository of an international agricultural research and development organization for further analysis of its funding and research trends. Enriching the metadata with additional
bibliographic notes (funding information) provides additional information about the resource that can be parsed and utilized in a linked open data environment.
Description
Contains extended abstract accepted at the CRIS2018 Conference
URI
https://dspacecris.eurocris.org/handle/11366/652
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Name
Zschocke_CRIS2018_paper_Enriching_metadata_institutional_research_repository.pdf
Description
Extended abstract (PDF)
Size
531.16 KB
Format
Adobe PDF
Checksum (MD5)
60d0406d3adb8f3ff8bcd9b237f97bc5
Conference(s)