Dark data limit the biological sciences  

暗数据阻碍生物学发展

作　　者：Michael C.Orr Georg Albert Alice C.Hughes Ivan Koludarov Arong Luo Huijie Qiao Ming-Qiang Wang Douglas Chesters Chao-Dong Zhu Michael C.Orr;Georg Albert;Alice C.Hughes;Ivan Koludarov;罗阿蓉;乔慧捷;王明强;Douglas Chesters;朱朝东

机构地区：[1]Key Laboratory of Zoological Systematics and Evolution,Institute of Zoology,Chinese Academy of Sciences,Beijing 100101,China [2]Entomologie,Staatliches Museum für Naturkunde Stuttgart,Stuttgart,70191,Germany [3]Department of Forest Nature Conservation,University of Göttingen,Göttingen,37073,Germany [4]School of Biological Sciences,The University of Hong Kong,Hong Kong 999077,China [5]Department of Informatics,Bioinformatics&Computational Biology,Technical University of Munich,Munich,80333,Germany [6]College of Life Sciences,University of Chinese Academy of Sciences,Beijing 100040,China [7]Key Laboratory of Animal Ecology and Conservation Biology,Institute of Zoology,Chinese Academy of Sciences,Beijing 100101,China [8]CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization and Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province,Chengdu Institute of Biology,Chinese Academy of Sciences,Chengdu 610213,China [9]Key Laboratory of Animal Biodiversity Conservation and Integrated Pest Management,Institute of Zoology,Chinese Academy of Sciences,Beijing 100101,China

出　　处：《Science Bulletin》2025年第4期452-453,共2页科学通报(英文版)

摘　　要：The era of open science is upon us,and journals are finally beginning to mandate that analyses be fully reproducible.This entails providing both the methods and underlying data used,which will be critical for overcoming current biases in our knowledge of even the most basic distribution of species across the tree of life[1].These efforts are key for achieving FAIR(Findability,Accessibility,Interoperability,and Reuse)goals of transparent and interoperable scientific progress;[2].However,some ways that scientists share data are functionally more open than others,and even when data are said to be available upon request,the vast majority(83%)of queries are unfulfilled[3].Those data that are effectively unreachable,including those lacking sufficient meta-data,are declared“dark data”[4].Although a repository allowing straightforward direct data uploads(e.g,Dryad)might be sufficient to directly replicate a single study,these data are effectively inaccessible to downstream analyses without,in many cases,paper-by-paper approaches to searching for,downloading,and processing data due to lacking standards;some of these necessary papers are even at the risk of disappearing[5].In a world of increasingly large-scale analyses across space and time[6]using a variety of data types,dark data increasingly hinders us from understanding and preserving the natural world.

关 键 词：LIMIT STRAIGHT SEARCHING 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]