Making open data work for plant scientists.
Making open data work for plant scientists.
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DOI：
10.1093/jxb/ert273
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发表时间：
2013-11
影响因子：
6.9
通讯作者：
Bastow R
中科院分区：
文献类型：
--
作者：
Leonelli S;Smirnoff N;Moore J;Cook C;Bastow R
尽管对开放数据共享的需求明确，但其在植物科学中的实施仍然有限。这至少在一定程度上是因为开放的数据共享对当前的研究实践提出了一些悬而未决的问题和挑战。在这篇评论中，强调了植物研究人员在生成、解释和试图传播数据时遇到的一些挑战。共享测序，转录组学，蛋白质组学和代谢组学数据所涉及的困难进行了审查。确定和评估了目前植物科学家可利用的三种数据共享场所的优缺点：（一）期刊出版物;（二）大学知识库;（三）社区和项目特定数据库。它的结论是，社区和项目特定的数据库是最有用的研究人员感兴趣的有效的数据共享，因为这些数据库是明确创建，以满足研究人员的需求，支持广泛的策展，并体现了提高认识，需要什么，使数据可重用的其他人。这种自下而上和社区驱动的方法需要得到研究界的重视，得到出版商的支持，并得到供资机构和政府的长期可持续支持。与此同时，这些数据库需要尽可能与通用数据库连接起来，以便大多数研究人员都能使用，从而促进有效和高效的数据共享。当我们期待一个拥抱开放获取数据和出版物的未来时，数据政策、数据策展、数据集成、数据基础设施和数据资金必须联系在一起，以促进数据访问和研究生产力。
Despite the clear demand for open data sharing, its implementation within plant science is still limited. This is, at least in part, because open data-sharing raises several unanswered questions and challenges to current research practices. In this commentary, some of the challenges encountered by plant researchers at the bench when generating, interpreting, and attempting to disseminate their data have been highlighted. The difficulties involved in sharing sequencing, transcriptomics, proteomics, and metabolomics data are reviewed. The benefits and drawbacks of three data-sharing venues currently available to plant scientists are identified and assessed: (i) journal publication; (ii) university repositories; and (iii) community and project-specific databases. It is concluded that community and project-specific databases are the most useful to researchers interested in effective data sharing, since these databases are explicitly created to meet the researchers’ needs, support extensive curation, and embody a heightened awareness of what it takes to make data reuseable by others. Such bottom-up and community-driven approaches need to be valued by the research community, supported by publishers, and provided with long-term sustainable support by funding bodies and government. At the same time, these databases need to be linked to generic databases where possible, in order to be discoverable to the majority of researchers and thus promote effective and efficient data sharing. As we look forward to a future that embraces open access to data and publications, it is essential that data policies, data curation, data integration, data infrastructure, and data funding are linked together so as to foster data access and research productivity.
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影响因子：
14.9
作者：
Rustici G;Kolesnikov N;Brandizi M;Burdett T;Dylag M;Emam I;Farne A;Hastings E;Ison J;Keays M;Kurbatova N;Malone J;Mani R;Mupo A;Pedro Pereira R;Pilicheva E;Rung J;Sharma A;Tang YA;Ternent T;Tikhonov A;Welter D;Williams E;Brazma A;Parkinson H;Sarkans U
通讯作者：
Sarkans U
影响因子：
14.9
作者：
Barrett T;Troup DB;Wilhite SE;Ledoux P;Evangelista C;Kim IF;Tomashevsky M;Marshall KA;Phillippy KH;Sherman PM;Muertter RN;Holko M;Ayanbule O;Yefanov A;Soboleva A
通讯作者：
Soboleva A
DOI：
10.1111/tpj.12194
发表时间：
2013-07
期刊：
The Plant journal : for cell and molecular biology
影响因子：
--
作者：
Hickman R;Hill C;Penfold CA;Breeze E;Bowden L;Moore JD;Zhang P;Jackson A;Cooke E;Bewicke-Copley F;Mead A;Beynon J;Wild DL;Denby KJ;Ott S;Buchanan-Wollaston V
通讯作者：
Buchanan-Wollaston V
影响因子：
3.7
作者：
Winter, Debbie;Vinegar, Ben;Nahal, Hardeep;Ammar, Ron;Wilson, Greg V.;Provart, Nicholas J.
通讯作者：
Provart, Nicholas J.
影响因子：
11.6
作者：
Baxter, Laura;Jironkin, Aleksey;Ott, Sascha
通讯作者：
Ott, Sascha