title: Making open data work for plant scientists.
abstract: 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.
authors.affiliation: Egenis & Department of Sociology, Philosophy and Anthropology, Byrne House, St Germans Road, Exeter EX4 4PJ, UK.
authors.forename: Sabina
authors.initials: S
authors.lastname: Leonelli
authors.forename: Nicholas
authors.initials: N
authors.lastname: Smirnoff
authors.forename: Jonathan
authors.initials: J
authors.lastname: Moore
authors.forename: Charis
authors.initials: C
authors.lastname: Cook
authors.forename: Ruth
authors.initials: R
authors.lastname: Bastow
mesh_terms: D022126:Access to Information; D057166:High-Throughput Screening Assays; D033181:Information Dissemination; D016247:Information Storage and Retrieval; D010944:Plants / Q000378:metabolism*; D012586:Science
keywords: Data sharing; databases; metabolomics; open data; proteomics; publication; repositories; transcriptomics.
references.citation: Yale J Biol Med. 2007 Dec;80(4):165-78
references.pmid: 18449388
references.citation: Plant Cell. 2011 Mar;23(3):873-94
references.pmid: 21447789
references.citation: Plant Cell. 2011 Jul;23(7):2477-82
references.pmid: 21771932
references.citation: Nature. 2012 Nov 29;491(7426):711-6
references.pmid: 23075845
references.citation: Plant Cell. 2010 Aug;22(8):2530-6
references.pmid: 20807877
references.citation: Plant J. 2013 Jul;75(1):26-39
references.pmid: 23578292
references.citation: Nature. 2012 Nov 29;491(7426):705-10
references.pmid: 23192148
references.citation: EMBO Rep. 2010 Oct;11(10):730-4
references.pmid: 20847740
references.citation: Plant Cell. 2012 Jun;24(6):2248-56
references.pmid: 22751211
references.citation: PLoS One. 2007 Aug 08;2(8):e718
references.pmid: 17684564
references.citation: Nucleic Acids Res. 2011 Jan;39(Database issue):D1005-10
references.pmid: 21097893
references.citation: PLoS One. 2011;6(9):e24357
references.pmid: 21915316
references.citation: Plant Cell. 2012 Sep;24(9):3530-57
references.pmid: 23023172
references.citation: Plant Cell. 2012 Oct;24(10):3949-65
references.pmid: 23110901
references.citation: Plant Physiol. 2004 Sep;136(1):2621-32
references.pmid: 15375207
references.citation: Nucleic Acids Res. 2013 Jan;41(Database issue):D987-90
references.pmid: 23193272
references.citation: Nat Genet. 2001 Dec;29(4):365-71
references.pmid: 11726920