The Korean Bird Information System (KBIS) through open and public participation
© Paik et al. 2009
Published: 3 December 2009
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© Paik et al. 2009
Published: 3 December 2009
The importance of biodiversity conservation has been increasing steadily due to its benefits to human beings. Recently, producing and managing biodiversity databases have become much easier because of the information technology (IT) advancement. This made the general public's participation in biodiversity conservation much more practical than ever. For example, an openfree web service can be devised for a wider spectrum of people to collaborate with each other for sharing biodiversity information. Bird migration is one such area of the collaboration. Korean migratory birds are usually traceable in the important routes of the East Asian-Australia Flyway (EAAF), and they play a key role as an environmental change indicator of the Earth. Therefore, the preservation of migratory birds requires an information system which involves a broader range of voluntary and interactive knowledge network to process bird information production, circulation, and dissemination.
The Korean Bird Information System (KBIS) aims to construct a cooperative partnership domestically and internationally through the acquisition, management, and sharing of Korean bird information involving both expert and non-expert groups. KBIS has six goals: data standard, system linkage, data diversity, utilization, bird knowledge network, and statistics. The key features of KBIS are to provide a simple search, gallery (photographs), and community to lead the participation of numerous non-experts, especially amateur bird watchers. The function of real-time observation data submission through the internet has been accomplished. It also provides bird banding database, statistics, and taxon network for experts. Especially, the statistics part provides the user with easy understanding of ecological trends of species based on the time and region.
KBIS is a tool for the conservation and management of bird diversity and ecosystem that encourages users to participate by providing the openfree data access and real-time data input web-interface. It will enhance bird knowledge networking activities locally, nationally, and internationally. In addition, it provides opportunities to enhance the public awareness for the preservation of bird diversity and species information in relevant localities through the database construction and networking activities. It can be found at http://korbird.naris.go.kr.
Korea is located in the midst of the eastern Asian and Australian migratory bird flight paths  which have been serving as an important habitat for over 50 million water birds, equivalent to about 250 populations. However, because of coastal land reclamation and development policies, the Korean wetlands have been rapidly decreasing . As birds migrating across national boundaries are at the top echelon of the food chain, the preservation and management of bird species requires a global effort.
Birds serve an important role as an indicator of the earth's environmental issues [3–5], pollution [6, 7], and habitat environment . As indicator species, birds require cooperative monitoring network with not only expert groups but the general public  as well. Through such cooperation, the construction of a bird information network has been actively carrying out in the world.
As an exemplary case, the Avian Knowledge Network (AKN)  is an outgrowth of voluntary participation of citizens to build databases for bird species and habitat information, thereby contributing to effective and efficient bird preservation and management. Recently, the knowledge associated with pre-existing knowledge management  have shifted their strategy which focused on technicality and efficiency before and this shift in strategy further developed into a two-way feedback structure as a knowledge network in the form of self-organization  and co-evolution  of knowledge, which in fact borrowed its concept from the ecological principles. In this sense, the AKN is striving to construct a bird knowledge network, a voluntary knowledge community  by occasioning the huge observational information supplied by birth watchers to be shared with ornithologists, conservation biologists, and land managers through the utility and real-time accessibility rendered possible by eBird .
Currently, the development of a biodiversity information system which can be shared, accessible, and utilized by on-line is underway by various institutions globally . This trend is attributable to the low costs incurred and the resulting high-efficiency for requisite research, collection, application, and publication of biodiversity information which in turn contributes to the preservation, sustainable use, and management of biodiversity resources [16, 17].
Recently, web environments, such as Web 2.0 which is defining characteristics with users' participation and data sharing, have emphasized to maximize the utility and accessibility of the vast number of bird observations made by recreational and professional bird watchers. There are some contributing factors to promote such web environment: the development of GPS and digital cameras, public awareness concerning sustainable society, public science, Flicker , Youtube , and personal media. Especially, since biodiversity is involved with global partnerships, the aforementioned web environment is perfectly in accord with the necessity for the development of biodiversity information system.
Based on this background, as a device for Korean bird diversity preservation and management, we developed KBIS to access and share the bird sightings and locations with birding community made by experts and non-experts.
For the data standardization regarding bird species and habitats, the guidelines and classification systems from Global Biodiversity Information Facility (GBIF)  and Wetlands International have been adopted. The banding DB has been made compatible with those of domestic and international. To accelerate practical use encouraging the acquisition and application of observational data from the public, the functions of 'Gallery' and 'My page' have been adopted. The former is primarily comprised of photographs taken by domestic bird watchers. The latter is for exchanging opinions and comments to control any incorrect information and for setting up personal information. A statistics function has been developed to show the bird populations based on the time or geographical location and the most current location of each group and population.
The user interface of KBIS is mainly comprised of data search (e.g., integrated search and simple search in My Guide Book), search results, data input (in banding DB, gallery, and my page), input results, and statistics.
The future development of KBIS will include several new functions. First, the bird species identification program by its morphology will be developed to encourage easier participation of inexperienced users. Second, efforts will be made to increase the collection of various contents through the linkage with NARIS and GBIF. Third, KBIS will enforce the data error management function. Because the generation, publication, and utilization of the extensive bird knowledge network with many participation by the general public will be more required for data reliability. Finally, we plan to implement the mobile application interface so that researchers can easily and rapidly deposit and monitor data in real time for sampling locations, collections, and observations.
KBIS's goal is to maximize the utility and accessibility of the vast number of bird observations, based on the interaction between recreational and professional bird watchers. KBIS has adopted international guidelines, such as Darwin Core 2.0 and DiGIR protocol, for data standard and exchange protocol. For the data quality control, the entered data are accompanied by comments and go through the verification by expert's reviews. The ecological information of bird was generated from observational and habitat data. The statistical function based on the region and time is accomplished to identify the variation and ecological tendencies of birds. With these various functions, KBIS are expected to play a great role in the conservation and protection of birds, collaborative partnerships, and environmental governance to the biodiversity community.
We thank Byung-Ho Kang, Seung-hun Baek, Hee-Yeun Lee and Seong-Yong Yang, who provided technical assistance while constructing the database. This work was supported by the Korea Science and Engineering Foundation (KOSEF) grant funded by the Ministry of Education, Science and Technology (No. 20090080150, 20090080140 and M10869030001-08N6903-00110) in 2009. The authors thank Maryana Bhak for editing.
This article has been published as part of BMC Bioinformatics Volume 10 Supplement 15, 2009: Eighth International Conference on Bioinformatics (InCoB2009): Bioinformatics. The full contents of the supplement are available online at http://www.biomedcentral.com/1471-2105/10?issue=S15.
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.