关键词:
limit
straight
searching
摘要:
The era of open science is upon us,and journals are finally beginning to mandate that analyses be fully *** 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.