Data Usage Policy
In 2009 the Toronto International Data Release Workshop agreed on a policy statement about prepublication data sharing (Nature 461, 168-170). Prepublication data release was recommended for genetic association studies involving "genomewide association analysis of thousands of samples", among other kinds of studies.
Accordingly, many of the datasets in T3 are being made available prior to publication of a global analysis by the data producers. Guidelines for appropriate sharing of these data are given in the excerpt from the Toronto Statement below.
Producers' information about specific datasets
Description | Source | Datasets | Publication plan | Date in T3 | Unrestricted as of |
---|---|---|---|---|---|
Trial data on a two-row spring barley training and validation population for multi-environment genomewide selection. | Kevin Smith | UMN Spring 2-row MET | Part of Ph.D. thesis by Jeffrey L. Neyhart. Will also be published outside of thesis. | Jan 2017 | May 2018 |
Adult and seedling stem rust severity of elite materials from the UMN-Pathology program, adult data collected in Ethiopia, Kenya, South Africa, and Minnesota; seedling data to Pgt race TTKSK (2012-2017). | Brian Steffenson | UMN-Pathology Stem Rust Trial | Case 2017 "Genetics, Sources, and Mapping of Stem Rust Resistance in Barley" | May 2017 | Nov 2017 |
Adult and seedling stem rust severity of the barley core collection from NSGC, data collected in Kenya, South Africa, and Minnesota; seedling data to Pgt races TTKSK, TTKST, TRTTF, TKTTF, MCCFC, QCCJB, HKHJC, and Pgs isolate 92-MN-90 (2012-2017). | Brian Steffenson | TCAP Core Stem Rust Trial | Case 2017 "Genetics, Sources, and Mapping of Stem Rust Resistance in Barley" | May 2017 | Nov 2017 |
Adult plant stem rust severity of RIL populations Hietpas-5/Hiproly (HH) and PI382313/Hiproly (PH) in Kenya, South Africa, and Minnesota (2015-2017). | Brian Steffenson | HH_PH RIL Stem Rust Trial | Case 2017 "Genetics, Sources, and Mapping of Stem Rust Resistance in Barley" | May 2017 | Nov 2017 |
Adult and seedling leaf rust severity of Hietpas-5/Hiproly (HH) population in South Africa; seedling leaf rust reaction to Ph isolate SAPh1601 (2015-2017). | Brian Steffenson | HH_PH RIL Leaf Rust Trial | Case 2017 "Genetics, Sources, and Mapping of Stem Rust Resistance in Barley" | May 2017 | Nov 2017 |
MN Trial Data for FHB | Brian Steffenson | FHB_2010_Crookston | Feb 2016 | July 2016 | |
MN Trial Data for FHB | Brian Steffenson | FHB_2011_Crookston | Feb 2016 | July 2016 | |
MN Trial Data for FHB | Brian Steffenson | FHB_2011_Crookston | Feb 2016 | July 2016 | |
MN Trial Data for FHB | Brian Steffenson | FHB_2010_SaintPaul | Feb 2016 | July 2016 | |
MN Trial Data for FHB | Brian Steffenson | FHB_2011_SaintPaul | Feb 2016 | July 2016 | |
MN Trial Data for FHB | Brian Steffenson | FHB_2012_SaintPaul | Feb 2016 | July 2016 | |
MN Trial Data for FHB | Brian Steffenson | FHB_2011_Hangzhou | Feb 2016 | July 2016 | |
MN Trial Data for Spot Blotch Seedling Infection Response | Brian Steffenson | SB_ND4008_2014_StP | Feb 2016 | July 2016 | |
MN Trial Data for Spot Blotch Seedling Infection Response | Brian Steffenson | SB_ND85F_2015_StP | Feb 2016 | July 2016 | |
MN Closed and Re-opened line panels | Kevin Smith | Closed Re-opened | Jun 2013 | Jun 2014 |
Toronto Statement
Data producers should state their intentions and enable analyses of their data by:
- Informing data users about the data being generated, data standards and quality, planned analyses, timelines, and relevant contact information, ideally through publication of a citable marker paper near the start of the project or by provision of a citable URL at the project or funding-agency website
- Providing relevant metadata (e.g., questionnaires, phenotypes, environmental conditions, and laboratory methods) that will assist other researchers in reproducing and/or independently analysing the data, while protecting interests of individuals enrolled in studies focusing on humans
- Ensuring that research participants are informed that their data will be shared with other scientists in the research community
- Publishing their initial global analyses, as stated in the marker paper or citable URL, in a timely fashion
- Creating databases designed to archive all data (including underlying raw data) in an easily retrievable form and facilitate usage of both pre-processed and processed data
Data analysts/users should freely analyse released prepublication data and act responsibly in publishing analyses of those data by:
- Respecting the scientific etiquette that allows data producers to publish the first global analyses of their data set
- Reading the citeable document associated with the project
- Accurately and completely citing the source of prepublication data, including the version of the data set (if appropriate)
- Being aware that released prepublication data may be associated with quality issues that will be later rectified by the data producers
- Contacting the data producers to discuss publication plans in the case of overlap between planned analyses
- Ensuring that use of data does not harm research participants and is in conformity with ethical approvals
- Scientific journal editors should engage the research community about issues related to prepublication data release and provide guidance to authors and reviewers on the third-party use of prepublication data in manuscripts