1. Publish your data

2. The Data Journal concept Data must be well described before others can use it and benefit from it. Scientists who share data in a reusable manner deserve credit through citable publications. Data quality matters 2

3. A diversity of new data journals 201220132014In PubMed 39 Pending Gigascience (Data Notes) 11 9 Yes F1000R (Data Notes) 1 5 4 Yes Biodiversity Data Journal (Data Paper) 1 9 Yes Earth System Science Data 5 20 No Ubiquity metajournals Journal of Open Archaeology Data 9 23 No Open Health Data 5 7 No Journal of Open Psychology Data 1 6 No 3 Data publications per year

4. Now Live!

5. Get Credit for Sharing Your Data Publications will be indexed and citeable. Open-access Articles are published by default under a Creative Commons Attribution licence (CC BY). Each publication supported by CCO metadata. Focused on Data Reuse All the information others need to reuse the data; no interpretative analysis, or hypothesis testing Peer-reviewed Rigorous peer-review focused on technical data quality and reuse value Promoting Community Data Repositories Not a new data repository; data stored in community data repositories

6. When might you submit a manuscript to a data journal? Publish your data early Publish a data paper alongside your research publications Describe standalone datasets that don’t fit in your other publications Release data used in your previous research articles 6

7. Publish early: screening data Full screen data for RNAi knockdown of 238 genes Data at figshare & GenomeRNAi Findings from specific hits published later at PLOS One

8. Publish alongside: major consortiums See the Focus on RNA sequencing quality control (SEQC) In the September issue of Nature Biotechnology A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium SEQC/MAQC-III Consortium | doi:10.1038/nbt.2957 The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance Wang et al. | doi:10.1038/nbt.3001 Cross-platform ultradeep transcriptomic profiling of human reference RNA samples by RNA-Seq Xu et al. | doi:10.1038/sdata.2014.20 Transcriptomic profiling of rat liver samples in a comprehensive study design by RNA-Seq Gong et al. | doi:10.1038/sdata.2014.21

9. Publish after: Earth sciences Data in at BODC/NERC Builds on previous article at Nature Geoscience

10. Publish standalone data Code in GitHub New Dataset Data in OpenfMRI Source code in GitHub Big Data

11. Get the most from your data Preserve it Encourage reuse Get credit

12. Now launched! Visit nature.com/scientificdata Email scientificdata@nature.com Tweet@ScientificData Managing Editor, Scientific Data Andrew L. Hufton andrew.hufton@nature.com Honorary Academic Editor Susanna-Assunta Sansone Advisory Panel and Editorial Board including senior researchers, funders, librarians and curators Thanks! Supported by