Browse > Article
http://dx.doi.org/10.14578/jkfs.2021.110.2.179

Status and Quality Analysis on the Biodiversity Data of East Asian Vascular Plants Mobilized through the Global Biodiversity Information Facility (GBIF)  

Chang, Chin-Sung (Department of Forest Sciences and The Arboretum, Seoul National University)
Kwon, Shin-Young (Department of Forest Sciences and The Arboretum, Seoul National University)
Kim, Hui (Department of Pharmaceutical Resources, Mokpo National University)
Publication Information
Journal of Korean Society of Forest Science / v.110, no.2, 2021 , pp. 179-188 More about this Journal
Abstract
Biodiversity informatics applies information technology methods in organizing, accessing, visualizing, and analyzing primary biodiversity data and quantitative data management through the scientific names of accepted names and synonyms. We reviewed the GBIF data published by China, Japan, Taiwan, and internal institutes, such as NIBR, NIE, and KNA of the Republic of Korea, and assessed data in diverse aspects of data quality using BRAHMS software. Most data from four Asian countries have quality problems with the lack of data consistency and missing information on georeferenced data, collectors, collection date, and place names (gazetteers) or other invalid data forms. The major problem is that biodiversity management institutions in East Asia are using unstructured databases and simple spreadsheet-type data. Owing to the nature of the biodiversity information, if data relationships are not structured, it would be impossible to secure the data integrity of scientific names, human names, geographical names, literature, and ecological information. For data quality, it is essential to build data integrity for database management and training systems for taxonomists who are continuous data managers to correct errors. Thus, publishers in East Asia play an essential role not only in using specialized software to manage biodiversity data but also in developing structured databases and ensuring their integration and value within biodiversity publishing platforms.
Keywords
biodiversity informatics; data cleaning; data integrity; fitness-for-use; GBIF; georeferencing; scientific name;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Peterson, A.T., Knapp, S., Guralnick, R., Sobero N, J. and Holder, M.T. 2010. The big questions for biodiversity informatics. Systematics and Biodiversity 8(2): 159-168.   DOI
2 Sarkar, I.N. 2007. Biodiversity informatics: Organizing and linking information across the spectrum of life. Briefings in Bioinformatics 8(5): 347-357.   DOI
3 Scoble, M. J. 2010. Rationale and value of natural history collections digitisation. Biodiversity Informatics 7(2): 77-80.   DOI
4 Hardisty, A., Roberts, D. and The Biodiversity Informatics Community. 2013. A decadal view of biodiversity informatics: Challenges and priorities. BMC Ecology 13(1): 16-39.   DOI
5 Chapman, A.D. 2005b. Principles of data quality. Global Biod iversity Information Facility. https://doi.org/10.15468/doc.jrgg-a190. (2021. 3. 15).
6 Anderson, R.P., Araujo, M.B., Guisan, A., Lobo, J.M., Martinez-Meyer, E., Peterson, A.T. and Soberon, J.M. 2020. Optimizing biodiversity informatics to improve information flow, data quality, and utility for science and society. Frontiers of Biogeography 12(3): 1-14.
7 Bebber, D.P., Carine, M.A., Wood, J.R.I., Wortley, A.H., Harris, D.J., Prance, G.T., Davidse, G., Paige, J., Pennington, T.D., Robson, N.K.B. and Scotland, R.W. 2010. Herbaria are a major frontier for species discovery. Proceedings of the National Academy of Sciences of the United States of America 107(51): 22169-22171.   DOI
8 Berendsohn, W.G., Guntsch, A., Hoffmann, N., Kohlbecker, A., Luther, K. and Muller, A. 2011. Biodiversity information platforms: From standards to interoperability. ZooKeys 150: 71-87.   DOI
9 Chamberlain, S., Barve, V., Mcglinn, D., Oldoni, D., Desmet, P., Geffert, L. and Ram, K. 2021. RGBIF: Interface to the global biodiversity information facility API. R package version 3.5.2.93 https://cran.r-project.org/package=rgbif.(2021. 3. 15).
10 Pouwer, R., Willemse, L.P.M., Mols, J.B. and Wieringa, J.J. 2008. Guidelines for collection data registration with BRAHMS 6. Nationaal Herbarium Nederland. Leiden, The Netherlands.
11 Beach, J. 2018. Specify Collections consortium-building durable infrastructure. Biodiversity Information Science and Standards 2: e26860.   DOI
12 Shin, C.H. 2014. Report on improvement of the Herbarium specimens infrastructure for forest biodiversity on the Korean Peninsula. Korea National Arboretum. https://scienceon.kisti.re.kr/commons/util/originalView.do?cn=TRKO201500014016&dbt=TRKO&rn=. (2021. 03. 15).
13 Stribling, J.B., Moulton, S.R. and Lester, G.T. 2003. Determining the quality of taxonomic data. Journal of the North American Benthological Society 22(4): 621-631.   DOI
14 Williams, P., Margules, C.R. and Hilbert, D.W. 2002. Data requirements and data sources for biodiversity priority area selection. Journal of Biosciences 27(4): 327-338.   DOI
15 Rahm, E. and Do, H.H. 2000. Data cleaning: Problems and current approaches. IEEE Data Engineering Bulletin 23(4): 3-13.
16 Shao, K.T., Lai, K.C., Lin, Y.C., Chen, L.S., Li, H.Y., Hsu, C.H., Lee, H., Hsu, H.W. and Mai, G.S. 2013. Experience and strategy of biodiversity data integration in Taiwan. Data Science Journal 12: WDS61-WDS69.   DOI
17 Wen, J., Ickert-Bond, S.M., Appelhans, M.S., Dorr, L.J. and Funk, V.A. 2015. Collections-based systematics: Opportunities and outlook for 2050. Journal of Systematics and Evolution 53(6): 477-488.   DOI
18 Chapman, A.D. 1999. Quality control and validation of pointsourced environmental resource data. In Spatial accuracy assessment: Land information uncertainty in natural resources. K. Lowell and A. Jaton (eds.), Ann Arbor Press, Chelsea.
19 Kier, G. and Barthlott, W. 2001. Measuring and mapping endemism and species richness: A new methodological approach and its application on the flora of Africa. Biodiversity & Conservation, 10(9): 1513-1529.   DOI
20 Anderson, R.P., Araujo, M., Guisan, A., Lobo, J.M., Martinez-Meyer, E., Peterson, A.T. and Soberon, J. 2016. Final report of the task group on GBIF data fitness for use in distribution modelling. Global Biodiversity Information Facility. Copenhagen. pp. 27.
21 Do, M.S., Lee, J. W., Jang, H. J., Kim, D. I., Park, J. and Yoo, J. C. 2017. Spatial distribution patterns and prediction of hotspot area for endangered herpetofauna species in Korea. Korean Journal of Environment and Ecology, 31(4): 381-396.   DOI
22 Berendsohn, W.G. 2009. Data and information management and communication. pp. 253-272. In: Barthlott, W., Linsenmair, K.E. and Porembski, S. (Ed.). Biodiversity: Structure and Function - Volume I. EOLSS Publishers. Oxford, UK.
23 Chavan, V. and Krishnan, S. 2003. Natural history collections: A call for national information infrastructure. Current Science-Bangalore 84(1): 34-42.
24 Chapman, A.D. 2005a. Principles and methods of data cleaning: Primary species and species-occurrence data, version 1.0. Report for the Global Biodiversity Information Facility. http://www.gbif.org/document/80528. (2021. 3. 15).
25 GBIF.org. 2021a. GBIF.org(29th Jan 2021) GBIF Occurrence Download (China) https://www.gbif.org/occurrence/download/0176738-200613084148143. (2021.01.29).
26 Gilbert, E., Franz, N. and Sterner, B. 2020. Historical overview of the development of the symbiota specimen management software and review of the interoperability challenges and opportunities informing future development. Biodiversity Information Science and Standards 4: e59077.   DOI
27 Orr, K. 1998. Data quality and systems theory. Communications of the ACM 41(2): 66-71.   DOI
28 Chapman, A.D. et al. 2020. Developing standards for improved data quality and for selecting fit for use biodiversity data. Biodiversity Information Science and Standards 4: e50889.   DOI
29 Fuentes, N., Pauchard, A., Sanchez, P., Esquivel, J. and Marticorena, A. 2013. A new comprehensive database of alien plant species in Chile based on herbarium records. Biological Invasions 15(4): 847-858.   DOI
30 GBIF.org. 2020. GBIF.org (24th Dec 2020) GBIF Occurrence Download (Taiwan) https://www.gbif.org/occurrence/download/0172317-200613084148143. (2020.12.24).
31 GBIF.org. 2021b. GBIF.org(29th Jan 2021) GBIF Occurrence Download (Korea) https://www.gbif.org/occurrence/download/0176754-200613084148143. (2021.01.29).
32 GBIF.org. 2021c. GBIF.org(29th Jan 2021) GBIF Occurrence Download (Japan) https://www.gbif.org/occurrence/download/0144048-200613084148143. (2021.01.29.).
33 Goodwin, Z.A., Harris, D.J., Filer, D., Wood, J.R.I. and Scotland, R.W. 2015. Widespread mistaken identity in tropical plant collections. Current Biology 25(22): R1066-R1067.   DOI
34 Gwinn, N.E. and Rinaldo, C.A. 2009. The biodiversity heritage library: Sharing biodiversity with the world. The International Federation of Library Associations and Institutions Journal 35(1): 25-34
35 Kim, H.W. 2017. Status assessment and cause of herbarium database errors -Selected woody plants taxa stored in national herbarium of Korea- (Dissertation). Seoul. Seoul National University, MS.