Lessons from Integrated Biodiversity Information System Implementation Initiatives

Dana Indra Sensuse, Handrie Noprisson, Vina Ayumi, Lukman L, Erwin Dwika Putra, Marissa Utami, Hadiguna Setiawan, Nur Ani


Biodiversity information system (BIS) plays an essential role in supporting research, exploration, and conservation activities of biodiversity. However, the implementation of BIS is complex and challenging because it involves many stakeholders and various datasets and systems. As a developing country, Indonesia started to implement the integrated BIS because of its benefit to managing Indonesia’s biodiversity effectively. This paper attempted to explore the lesson learned of BIS implementation in several countries that may be useful for other countries to develop and implement BIS. This research was accomplished by conducting four focus group discussions (FGDs) that involved a representative of stakeholders, practitioners, and experts of a biodiversity information system in discussing issues in BIS implementation. The first FGD was conducted in Jakarta, Indonesia, which involved 16 participants. The second FGD has invited thirteen members and conducted them in Taiwan. The third session of FGD has been done by discussing with six members of FGD in Spain. The last FGD was held in Japan and invited eight members from several South Korea and Japan institutions. The output of FGDs was an analysis of five themes were identified, including data management, technology infrastructure, funding management, stakeholder involvement, and specialized agency. Stakeholder involvement is important to formulate policies and support BIS implementation and utilization sustainability. The lesson related to funding resources is that many organizations or people must be managed in centralization. It means a specialized agency is needed to conduct and control all programs related to BIS implementation.


Lesson learned; biodiversity; information system; developing countries.

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H. Y. Lin, C. M. Chen, Y. L. Chen, Y. H. Chang, and T. W. Pai, “Construction of a Taiwan biodiversity genetic database in cloud environments,” Proc. - 2012 Int. Symp. Biometrics Secur. Technol. ISBAST 2012, pp. 108–112, 2012, doi: 10.1109/ISBAST.2012.10.

S. Hassan and I. ul Haq, “Pervasive Pollution Problems Caused by Plastics and its Degradation,” Int. J. Online Biomed. Eng., vol. 15, no. 10, pp. 29–39, 2019.

G. Nelson and S. Ellis, “The history and impact of digitization and digital data mobilization on biodiversity research,” Philos. Trans. R. Soc. B Biol. Sci., vol. 374, no. 1763, pp. 2–10, 2019, doi: 10.1098/rstb.2017.0391.

M. Ramadhani and D. Fitrianah, “Implementation of data mining analysis to determine the tuna fishing zone using DBSCAN algorithm,” Int. J. Mach. Learn. Comput., vol. 9, no. 5, pp. 706–711, 2019, doi: 10.18178/ijmlc.2019.9.5.862.

D. Fitrianah, R. A. M. Zen, and N. H. Praptono, “Prediction Framework for Potential Tuna Fish Zone in Indonesia,” in Proceedings of the 2019 Asia Pacific Information Technology Conference, 2019, pp. 51–55.

D. Xiao-Ting, “Research Progress on Biodiversity Information System,” 2012 Int. Conf. Comput. Sci. Serv. Syst., pp. 296–299, 2012, doi: 10.1109/CSSS.2012.81.

J. Santos, F. Sales, and P. Rupino, “Accelerating Digitisation of Biological Collections: the Coimbra Herbarium case study,” Biodivers. Inf. Sci. Stand., vol. 3, 2019, doi: 10.3897/biss.3.37760.

D. Satria, D. I. Sensuse, and H. Noprisson, “A systematic literature review of the improved agile software development,” 2017.

A. C. F. Albuquerque, J. L. C. Dos Santos, and A. N. De Castro, “OntoBio: A biodiversity domain ontology for Amazonian biological collected objects,” Proc. Annu. Hawaii Int. Conf. Syst. Sci., vol. 2015-March, pp. 3770–3779, 2015, doi: 10.1109/HICSS.2015.453.

W. Chen, J. Liu, and Y. Wang, “Internet geographic information security supervision platform architecture research,” Int. J. Online Biomed. Eng., vol. 9, pp. 13–16, 2013, doi: 10.3991/ijoe.v9iS2.2562.

D. Hobern et al., “Connecting data and expertise: A new alliance for biodiversity knowledge,” Biodivers. Data J., vol. 7, 2019, doi: 10.3897/BDJ.7.e33679.

E. Budiman and S. N. Alam, “Database: Taxonomy of plants Nomenclature for borneo biodiversity information system,” in 2017 Second International Conference on Informatics and Computing (ICIC), 2017, pp. 1–6.

N. Dengen, E. Budiman, J. A. Widians, M. Wati, U. Hairah, and M. Ugiarto, “Biodiversity information system: Tropical rainforest borneo and traditional knowledge ethnic of dayak,” J. Telecommun. Electron. Comput. Eng., vol. 10, no. 1–9, pp. 59–64, 2018.

E. Budiman, N. Puspitasari, S. N. Alam, T. M. A. Akbar, and D. Indra, “Performance Analysis of the Resource Loading Time for Borneo Biodiversity Information System,” in 2018 Third International Conference on Informatics and Computing (ICIC), 2018, pp. 1–5.

E. Budiman, U. Hairah, A. Tejawati, S. Darmawan, and S. Wahyuni, “Biodiversity Information System of Medicinal Plants from Tropical Rainforest Borneo Based on Traditional Knowledge Ethnic of Dayak,” Adv. Sci. Lett., vol. 24, no. 11, pp. 8668–8673, 2018.

L. Hakim, M. Soemarno, and S.-K. Hong, “Challenges for conserving biodiversity and developing sustainable island tourism in North Sulawesi Province, Indonesia,” J. Ecol. Environ., vol. 35, no. 2, pp. 61–71, 2012.

Y. Herdiyeni, A. R. Ginanjar, M. R. L. Anggoro, S. Douady, and E. A. M. Zuhud, “MedLeaf: Mobile biodiversity informatics tool for mapping and identifying Indonesian medicinal Plants,” in 2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR), 2015, pp. 54–59.

J. A. Widians, M. Wati, A. Tejawati, and E. Budiman, “Biodiversity Information System for Management of Medicinal Plants Data Tropical Rainforest Borneo,” Int. J. Eng. Technol., vol. 7, no. 4.44, pp. 31–36, 2018.

R. da S. Torres, C. B. Medeiros, M. A. Gonçalves, and E. A. Fox, “A digital library framework for biodiversity information systems,” Int. J. Digit. Libr., vol. 6, no. 1, pp. 3–17, 2006, doi: 10.1007/s00799-005-0124-1.

F. K. Amanqui, K. J. Serique, S. D. Cardoso, J. L. Dos Santos, A. Albuquerque, and D. A. Moreira, “Improving biodiversity data retrieval through semantic search and ontologies,” Proc. - 2014 IEEE/WIC/ACM Int. Jt. Conf. Web Intell. Intell. Agent Technol. - Work. WI-IAT 2014, vol. 1, pp. 726–731, 2014, doi: 10.1109/WI-IAT.2014.44.

N. Khan, M. Thelwall, and K. Kousha, “Data citation and reuse practice in biodiversity - Challenges of adopting a standard citation model,” 17th Int. Conf. Sci. Inf., vol. 1, no. 2011, pp. 1220–1225, 2019.

J. Kitzinger, “Focus Groups,” in Qualitative Research in Health Care, P. C and M. N, Eds. Malden: Blackwell publishing, 2006, pp. 21–31.

M. Vaismoradi, H. Turunen, and T. Bondas, “Content Analysis and Thematic Analysis: Implications for Conducting a Qualitative Descriptive Study,” Nurs. Heal. Sci., vol. 15, no. 3, pp. 398–405, 2013, doi: 10.1111/nhs.12048.

V. Garousi, K. Petersen, and B. Ozkan, “Challenges and best practices in industry-academia collaborations in software engineering: A systematic literature review,” Inf. Softw. Technol., vol. 79, pp. 106–127, 2016.

A. K. Ghosh and P. Wisniewski, “Understanding User Reviews of Adolescent Mobile Safety Apps: A Thematic Analysis,” in Proceedings of the 19th International Conference on Supporting Group Work, 2016, pp. 417–420.

S. K. Wiser, P. J. Bellingham, and L. E. Burrows, “Managing Biodiversity Information : Development of New Zealand’s National Vegetation,” N. Z. J. Ecol., vol. 25, no. 2, pp. 1–17, 2001.

J. K. Reaser, A. Simpson, G. F. Guala, J. . Morisette, and P. Fuller, “Envisioning a national invasive species information framework,” Biol. Invasions, vol. 22, no. 1, pp. 21–36, 2020.

G. Canonico et al., “Global observational needs and resources for marine biodiversity,” Front. Mar. Sci., vol. 6, p. 367, 2019.

M. Dillen et al., “A benchmark dataset of herbarium specimen images with label data,” Biodivers. Data J., vol. 7, 2019.

C. König, P. Weigelt, J. Schrader, A. Taylor, J. Kattge, and H. Kreft, “Biodiversity data integration—the significance of data resolution and domain 17, no. 3 (2019): .,” PLoS Biol., vol. 17, no. 3, p. e3000183, 2019.

R. Kays, W. J. McShea, and M. Wikelski, “Born‐digital biodiversity data: Millions and billions,” Divers. Distrib., vol. 26, no. 5, pp. 644–648, 2020.

U. Kõljalg et al., “PlutoF: Biodiversity data management platform for the complete data lifecycle,” Biodivers. Inf. Sci. Stand., 2019.

H. Xu, D. Wang, and X. Sun, “Biodiversity Clearing-House Mechanism in China: present status and future needs,” Biodivers. Conserv., pp. 361–378, 2000.

A. R. Hardisty et al., “The Bari Manifesto: An interoperability framework for essential biodiversity variables,” Ecol. Inform., vol. 49, pp. 22–31, 2019, doi: 10.1016/j.ecoinf.2018.11.003.

M. Dimitrova, V. Senderov, K. Simov, T. Georgiev, and L. Penev, “OpenBiodiv-O Ontology: Bridging the Gap Between Biodiversity Data and Biodiversity Publishing,” Biodivers. Inf. Sci. Stand., vol. 3, 2019, doi: 10.3897/biss.3.35773.

H. Noprisson, D. I. Sensuse, Y. G. Sucahyo, and Lukman, “Metadata Development for Ethnophytomedicine Resources Using Metadata Analysis Approach,” 2016.

I. A. A. Sabri and M. Man, “A performance of comparative study for semi-structured web data extraction model,” Int. J. Electr. Comput. Eng., vol. 9, no. 6, pp. 5463–5470, 2019.

O. Boiral and I. Heras-Saizarbitoria, “Managing Biodiversity Through Stakeholder Involvement : Why , Who , and for What Initiatives?,” J Bus Ethics, 2015, doi: 10.1007/s10551-015-2668-3.

B. Anthony Jr, “Green information system integration for environmental performance in organizations,” Benchmarking An Int. J., vol. 26, no. 3, 2019.

P. J. Stephenson, “The Holy Grail of biodiversity conservation management: Monitoring impact in projects and project portfolios,” Perspect. Ecol. Conserv., vol. 17, no. 4, pp. 182–192, 2019.

L. Coad et al., “Widespread shortfalls in protected area resourcing undermine efforts to conserve biodiversity,” Front. Ecol. Environ., vol. 17, no. 5, pp. 259–264, 2019.

J. Evans and J. Russell-Smith, “Delivering effective savanna fire management for defined biodiversity conservation outcomes: an Arnhem Land case study,” Int. J. Wildl. Fire, vol. 29, no. 5, pp. 386–400, 2020.

A. Wood, M. Tolera, M. Snell, P. O’Hara, and A. Hailu, “Community forest management (CFM) in south-west Ethiopia: Maintaining forests, biodiversity and carbon stocks to support wild coffee conservation,” Glob. Environ. Chang., vol. 59, p. 101980, 2019.

M. C. Rubino, “Biodiversity Finance,” R. Inst. Int. Aff. (Special Biodivers. Issue), vol. 76, no. 2, pp. 223–240, 2000.

B. S. Freeling and S. D. Connell, “Funding conservation through an emerging social movement,” Trends Ecol. Evol., vol. 35, no. 1, pp. 3–6, 2020.

S. K. Sharma and A. Bashir, “Sustainable Management of Biodiversity in the Context of Climate Change-Issues , Challenges and Response,” vol. 82, no. November, pp. 251–260, 2012, doi: 10.1007/s40011-012-0095-0.

Y. Meng, Y. Chen, F. Zhu, and E. Tian, “The Integration of Marine Biodiversity Information Resources Based on Big Data Technology,” J. Coast. Res., vol. 103, pp. 806–811, 2020.

D. Fitrianah, A. N. Hidayanto, R. A. Zen, and A. M. Arymurthy, “APDATI: E-Fishing Logbook for Integrated Tuna Fishing Data Management,” J. Theor. Appl. Inf. Technol., vol. 75, no. 2, 2015.

R. Wang and J. A. Gamon, “Remote sensing of terrestrial plant biodiversity,” Remote Sens. Environ., vol. 231, p. 111218, 2019.

N. Fitriah Isa, H. Kasmin, N. Yahya, M. Abdul Rahim, and Z. Md Ghazaly, “Green roof performance under malaysia tropical climates: a review,” Indones. J. Electr. Eng. Comput. Sci., vol. 18, no. 2, p. 614, 2020, doi: 10.11591/ijeecs.v18.i2.pp614-621.

M. F. Yaakub, F. H. Mohd Noh, M. F. I. Mohd Zali, and M. H. Harun, “Prospective study of power generation from natural resources using hybrid system for remote area,” Indones. J. Electr. Eng. Comput. Sci., vol. 18, no. 2, pp. 642–647, 2020, doi: 10.11591/ijeecs.v18.i2.pp642-647.

M. Chen and Y. Lin, “Exploration and implementation of intelligent park information system based on cloud computing and Internet of Things,” Int. J. Online Biomed. Eng., vol. 15, no. 1, pp. 115–128, 2019, doi: 10.3991/ijoe.v15i01.9783.

J. Xiong, “Application of multi-source data hybrid technology in navigation and communication technology,” Int. J. Online Biomed. Eng., vol. 15, no. 1, pp. 156–170, 2019, doi: 10.3991/ijoe.v15i01.9775.

H. Gholizadeh et al., “Detecting prairie biodiversity with airborne remote sensing,” Remote Sens. Environ., vol. 221, no. June 2018, pp. 38–49, 2019, doi: 10.1016/j.rse.2018.10.037.

I. H. Ikasari, V. Ayumi, M. I. Fanany, and S. Mulyono, “Multiple regularizations deep learning for paddy growth stages classification from LANDSAT-8,” in International Conference on Advanced Computer Science and Information Systems (ICACSIS), 2016, pp. 512–517, doi: 10.1109/ICACSIS.2016.7872790.

J. M. Zaspel et al., “Human Health, Interagency Coordination, and the Need for Biodiversity Data,” Bioscience, vol. 70, no. 7, pp. 527–527, 2020.

A. Peterson and K. Herkül, “Mapping benthic biodiversity using georeferenced environmental data and predictive modeling,” Mar. Biodivers., vol. 49, no. 1, pp. 131-146., 2019.

G. Talukdar, A. T. Peterson, and V. Mathur, “Biodiversity Data Sharing by Public Funded Institutions: Perspectives from India,” Biodivers. Inf. Sci. Stand., 2019.

A. . Rochette et al., “Developing policy-relevant biodiversity indicators: lessons learnt from case studies in Africa,” Environ. Res. Lett., vol. 14, no. 3, p. 035002, 2019.

S. Y. Kim, H. J. Yi, and S. Huh, “Current and planned adoption of data sharing policies by editors of Korean scholarly journals,” Sci. Ed., vol. 6, no. 1, pp. 19–24, 2019.

W. D. Chawinga and S. Zinn, “Global perspectives of research data sharing: A systematic literature review,” Libr. Inf. Sci. Res., vol. 41, no. 2, pp. 109–122, 2019.

DOI: http://dx.doi.org/10.18517/ijaseit.12.4.12968


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