Research data management in the field of Ecology: an overview
Authors: 
Cristiana Alves, João Aguiar Castro, Cristina Ribeiro, João Pradinho Honrado, Angela LombaAuthors Info & Claims
Pages 87 - 94
Abstract
The diversity of research topics and resulting datasets in the field of Ecology (the scientific study of ecological systems and their biodiversity) has grown in parallel with developments in research data management. Based on a meta-analysis performed on 93 scientific references, this paper presents a comprehensive overview of the use of metadata tools in the Ecology domain through time. Overall, 40 metadata tools were found to be either referred or used by the research community from 1997 to 2018. In the same period, 50 different initiatives in ecology and biodiversity research were conceptualized and implemented to promote effective data sharing in the community. A relevant concern that stems from this analysis is the need to establish simple methods to promote data interoperability and reuse, so far limited by the production of metadata according to different standards. With this study, we also highlight challenges and perspectives in research data management in the domain of Ecology towards best practice guidelines.
References
[1]
Aloisio, G., Milillo, G., & Williams, R. D. (1999). An XML architecture for high-performance web-based analysis of remote-sensing archives. Future Generation Computer Systems, 16(1), 91-100.
[2]
Baker, E., Rycroft, S., & Smith, V. S. (2014). Linking multiple biodiversity informatics platforms with Darwin Core Archives. Biodiversity Data Journal(2), e1039.
[3]
Ball, A., Greenberg, J., Jeffery, K., & Koskela, R. (2016). RDA Metadata Standards Directory Working Group.
[4]
Berkley, C., Bowers, S., Jones, M. B., Madin, J. S., Schildhauer, M., & Ieee. (2009). Improving Data Discovery in Metadata Repositories through Semantic Search.
[5]
Berkley, C., Jones, M., Bojilova, J., & Higgins, D. (2001). Metacat: A schema-independent XML database system.
[6]
Buchadas, A., Vaz, A. S., Honrado, J. P., Alagador, D., Bastos, R., Cabral, J. A.,... Vicente, J. R. (2017). Dynamic models in research and management of biological invasions. Journal of Environmental Management, 196, 594-606.
[7]
Costello, M. J., Michener, W. K., Gahegan, M., Zhang, Z.-Q., & Bourne, P. E. (2013). Biodiversity data should be published, cited, and peer reviewed. Trends in Ecology & Evolution, 28(8), 454-461.
[8]
Cushing, J. B., Nadkarni, N., Finch, M., Fiala, A., Murphy-Hill, E., Delcambre, L., & Maier, D. (2007). Component-based end-user database design for ecologists. Journal of Intelligent Information Systems, 29(1), 7-24.
[9]
da Silva, J. R., Castro, J. A., Ribeiro, C., Honrado, J., Lomba, A., & Goncalves, J. (2014). Beyond INSPIRE: An Ontology for Biodiversity Metadata Records. In R. Meersman, H. Panetto, A. Mishra, R. ValenciaGarcia, A. L. Soares, I. Ciuciu, F. Ferri, G. Weichhart, T. Moser, M. Bezzi, & H. Chan (Eds.), On the Move to Meaningful Internet Systems: Otm 2014 Workshops (Vol. 8842, pp. 597-607).
[10]
European Commission. Guidelines on FAIR Data Management in Horizon 2020. (2016). Retrieved from http://ec.europa.eu/research/%0Aparticipants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf.
[11]
Filetti, M., & Gnauck, A. (2011). A Concept of a Virtual Research Environment for Long-Term Ecological Projects with Free and Open Source Software. In J. Hrebicek, G. Schimak, & R. Denzer (Eds.), Environmental Software Systems: Frameworks of Eenvironment (Vol. 359, pp. 235-244).
[12]
Gil, I. S., Hutchison, V., Frame, M., & Palanisamy, G. (2010). Metadata Activities in Biology. Journal of Library Metadata, 10(2-3), 99-118.
[13]
Guralnick, R., Walls, R., & Jetz, W. (2017). Humboldt Core -- toward a standardized capture of biological inventories for biodiversity monitoring, modeling and assessment. Ecography, n/a-n/a.
[14]
Heidorn, P. B. (2008). Shedding Light on the Dark Data in the Long Tail of Science. Library Trends, 57(2), 280-299.
[15]
Henshaw, D. L., Spycher, G., & Remillard, S. M. (2002). Transition from a legacy databank to an integrated ecological information system.
[16]
Higgins, D., Berkley, C., & Jones, M. B. (2002). Managing heterogeneous ecological data using Morpho.
[17]
Higgins, J. P., & Green, S. (2011). Cochrane handbook for systematic reviews of interventions (Vol. 4): John Wiley & Sons.
[18]
Jetz, W., McPherson, J. M., & Guralnick, R. P. (2012). Integrating biodiversity distribution knowledge: toward a global map of life. Trends in Ecology & Evolution, 27(3), 151-159.
[19]
Jones, C., Blanchette, C., Brooke, M., Harris, J., Jones, M., & Schildhauer, M. (2007). A metadata-driven framework for generating field data entry interfaces in ecology. Ecological Informatics, 2(3), 270-278.
[20]
Leigh, C., Laporte, B., Bonada, N., Fritz, K., Pella, H., Sauquet, E.,... Datry, T. (2017). IRBAS: An online database to collate, analyze, and synthesize data on the biodiversity and ecology of intermittent rivers worldwide. Ecology and Evolution, 7(3), 815-823.
[21]
Lyon, L. (2007). Dealing with Data: Roles, Rights, Responsibilities and Relationships. Consultancy Report.
[22]
Malaverri, J. G., Vilar, B., & Medeiros, C. B. (2009). A TOOL BASED ON WEB SERVICES TO QUERY BIODIVERSITY INFORMATION.
[23]
Mayernik, M. (2011). Metadata realities for cyberinfrastructure: Data authors as metadata creators.
[24]
Michener, W. K., Beach, J. H., Jones, M. B., Ludascher, B., Pennington, D. D., Pereira, R. S.,... Schildhauer, M. (2007). A knowledge environment for the biodiversity and ecological sciences. Journal of Intelligent Information Systems, 29(1), 111-126.
[25]
Michener, W. K., Brunt, J. W., Helly, J. J., Kirchner, T. B., & Stafford, S. G. (1997). NONGEOSPATIAL METADATA FOR THE ECOLOGICAL SCIENCES. Ecological Applications, 7(1), 330-342.
[26]
Michener, W. K., Brunt, J. W., & Vanderbilt, K. L. (2002). Ecological informatics: A long-term ecological research perspective.
[27]
Michener, W. K., & Jones, M. B. (2012). Ecoinformatics: supporting ecology as a data-intensive science. Trends in Ecology & Evolution, 27(2), 85-93.
[28]
Michener, W. K., Porter, J., Servilla, M., & Vanderbilt, K. (2011). Long term ecological research and information management. Ecological Informatics, 6(1), 13-24.
[29]
Nadrowski, K., Ratcliffe, S., Bönisch, G., Bruelheide, H., Kattge, J., Liu, X.,... Wirth, C. (2013). Harmonizing, annotating and sharing data in biodiversity--ecosystem functioning research. Methods in Ecology and Evolution, 4(2), 201-205.
[30]
Nilsson, M. (2008). The Singapore framework for Dublin Core application profiles. ttp://dublincore. org/documents/singaporeframework/.
[31]
Palmer, C. L., Thomer, A. K., Baker, K. S., Wickett, K. M., Hendrix, C. L., Rodman, A.,... Fouke, B. W. (2017). Site-based data curation based on hot spring geobiology. PLOS ONE, 12(3), e0172090.
[32]
Pfeifer, M., Lefebvre, V., Gardner, T. A., Arroyo-Rodriguez, V., Baeten, L., Banks-Leite, C.,... Ewers, R. M. (2014). BIOFRAG -- a new database for analyzing BIOdiversity responses to forest FRAGmentation. Ecology and Evolution, 4(9), 1524-1537.
[33]
Qin, J., & Li, K. (2013). How portable are the metadata standards for scientific data? a proposal for a metadata infrastructure. Paper presented at the International Conference on Dublin Core and Metadata Applications.
[34]
Reichman, O. J., Jones, M. B., & Schildhauer, M. P. (2011). Challenges and Opportunities of Open Data in Ecology. Science, 331(6018), 703-705.
[35]
Tani, A., Candela, L., & Castelli, D. (2013). Dealing with metadata quality: The legacy of digital library efforts. Information Processing & Management, 49(6), 1194-1205.
[36]
Thanos, C. (2017). Research Data Reusability: Conceptual Foundations, Barriers and Enabling Technologies. Publications, 5(1), 2.
[37]
Veiga, A. K., Saraiva, A. M., Chapman, A. D., Morris, P. J., Gendreau, C., Schigel, D., & Robertson, T. J. (2017). A conceptual framework for quality assessment and management of biodiversity data. PLOS ONE, 12(6), e0178731.
[38]
Weibel, S., Kunze, J., Lagoze, C., & Wolf, M. (1998). Dublin core metadata for resource discovery (2070-1721).
[39]
White, H. C. (2014). Descriptive Metadata for Scientific Data Repositories: A Comparison of Information Scientist and Scientist Organizing Behaviors. Journal of Library Metadata, 14(1), 24-51.
[40]
Wieczorek, J., Bloom, D., Guralnick, R., Blum, S., Döring, M., Giovanni, R.,... Vieglais, D. (2012). Darwin Core: An Evolving Community-Developed Biodiversity Data Standard. PLOS ONE, 7(1), e29715.
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Published: 10 September 2018
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