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
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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 |
DOI | 10.1111/2041-210x.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. |
入库方式: OAI收割
来源:植物研究所
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