中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Harmonizing, annotating and sharing data in biodiversityecosystem functioning research

文献类型:期刊论文

作者Nadrowski, Karin; Ratcliffe, Sophia; Boenisch, Gerhard1; Bruelheide, Helge4; Kattge, Jens1; Liu, Xiaojuan3; Maicher, Lutz2,7; Mi, Xiangcheng3; Prilop, Michael2,7; Seifarth, Daniel2
刊名METHODS IN ECOLOGY AND EVOLUTION
出版日期2013
卷号4期号:2页码:201-205
关键词Ecoinformatics BEF-China cooperating research groups web applications Ruby on Rails knowledge management Ecological Metadata Language semantic web spreadsheets Web of Data
ISSN号2041-210X
DOI10.1111/2041-210x.12009
文献子类Article
英文摘要The integrative research field of biodiversityecosystem functioning (BEF) requires close collaboration between researchers from different disciplines working on different scales in time, space as well as taxon resolution. Data can describe anything from abiotic ecosystem components, to organisms, parts of organisms, genetic information or element stocks and flows. Researchers prefer the convenience of spreadsheets for data preparation, which can lead to isolated data sets that are diverse in structure and follow diverging naming conventions. BEFdata (https://github.com/befdata/befdata) is a new, open source web platform for the upload, validation and storage of data from a formatted Excel workbook. Metadata can be downloaded in Ecological Metadata Language (EML). BEFdata allows the harmonization of naming conventions by generating category lists from the primary data, which can be reviewed and managed via the Excel workbook or directly on the platform. BEFdata provides a secure environment during ongoing analysis; project members can only access primary data from other researchers after the acceptance of a data request. Due to its generic database schema, BEFdata platforms can be used for any research domain working with tabular data. It supports the compilation of coherent data sets at the level of the primary data, allowing researchers to explicitly model correlation structures across data sets for synthesis. The EML export enables efficient publishing of data in global repositories.
学科主题Ecology
出版地HOBOKEN
WOS关键词SCIENCE ; DATABASES ; ECOLOGY
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
语种英语
WOS记录号WOS:000314974800012
出版者WILEY-BLACKWELL
资助机构German Science Foundation (DFG) through the BEF-China project ; EU project FunDivEUROPE
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/28100]  
专题植被与环境变化国家重点实验室
作者单位1.Univ Leipzig, Inst Special Bot & Funct Biodivers Res, D-04103 Leipzig, Germany
2.Chinese Acad Sci, Inst Bot, Beijing 100093, Xiangshan, Peoples R China
3.Univ Halle Wittenberg, Inst Bot Geobot & Bot Garden, D-06120 Halle, Germany
4.Max Planck Inst Biogeochem, D-07745 Jena, Germany
5.ESEMOS GmbH, Business Dev, D-04109 Leipzig, Germany
6.Fraunhofer Zentrum Mittel & Osteuropa MOEZ, D-04109 Leipzig, Germany
7.Univ Leipzig, Top Maps Lab, Nat Language Proc Grp, D-04109 Leipzig, Germany
推荐引用方式
GB/T 7714
Nadrowski, Karin,Ratcliffe, Sophia,Boenisch, Gerhard,et al. Harmonizing, annotating and sharing data in biodiversityecosystem functioning research[J]. METHODS IN ECOLOGY AND EVOLUTION,2013,4(2):201-205.
APA Nadrowski, Karin.,Ratcliffe, Sophia.,Boenisch, Gerhard.,Bruelheide, Helge.,Kattge, Jens.,...&Wirth, Christian.(2013).Harmonizing, annotating and sharing data in biodiversityecosystem functioning research.METHODS IN ECOLOGY AND EVOLUTION,4(2),201-205.
MLA Nadrowski, Karin,et al."Harmonizing, annotating and sharing data in biodiversityecosystem functioning research".METHODS IN ECOLOGY AND EVOLUTION 4.2(2013):201-205.

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来源:植物研究所

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