ManBIF: a Program for Mining and Managing Biobank Impact Factor Data.

Yu,  Ki Jin; Nam,  Jungmin; Her,  Yun; Chu,  Minseock; Seo,  Hyungseok; Kim,  Junwoo; Jeon,  Jaepil; Park,  Hyekyung; Park,  Kiejung

doi:2011.9.1.37

Genomics Inform > Volume 9(1); 2011 > Article

Original Article

Genomics & Informatics 2011;9(1): 37-38.

DOI: https://doi.org/10.5808/gi.2011.9.1.037

ManBIF: a Program for Mining and Managing Biobank Impact Factor Data.

Ki Jin Yu, Jungmin Nam, Yun Her, Minseock Chu, Hyungseok Seo, Junwoo Kim, Jaepil Jeon, Hyekyung Park, Kiejung Park

¹Division of Bio-Medical Informatics, Center for Genome Science, National Institute of Health, Cheongwon-gun 363-951, Korea. kjpark63@gmail.com
²Division of Korea BioBank, Center for Genome Science, National Institute of Health, Cheongwon-gun 363-951, Korea.

Abstract

Biobank Impact Factor (BIF), which is a very effective criterion to evaluate the activity of biobanks, can be estimated by the citation information of biobanks from scientific papers. We have developed a program, ManBIF, to investigate the citation information from PDF files in the literature. The program manages a dictionary for expressions to represent biobanks and their resources, mines the citation information by converting PDF files to text files and searching with a dictionary, and produces a statistical report file. It can be used as an important tool by biobanks.

Keywords: biobank; Biobank Impact Factor Data