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The journal as index and incentive for data publication Myles Axton Editor, Nature Genetics Cambridge Oct 23 rd 2011.

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Presentation on theme: "The journal as index and incentive for data publication Myles Axton Editor, Nature Genetics Cambridge Oct 23 rd 2011."— Presentation transcript:

1 The journal as index and incentive for data publication Myles Axton Editor, Nature Genetics Cambridge Oct 23 rd 2011

2 Nature quality primary research in genetics and genomics - Professional editors choose which papers to publish - Peer referees provide technical guidance to improve the work - Editorial standards and decision criteria are constantly revised in light of referee advice, author comments, conference presentations and lab visits - Standards of the journal constantly get higher All Nature Research Journals use two basic criteria for decisions: Novelty: new data, new resource Conceptual advance: new ideas, new strategies Plus: Nature: Is this work of general interest to all scientists, to decision makers or to the public? Nature Genetics: How many other researchers will do their research differently as a result of this work?

3 Scope of Nature Genetics Common/complex diseases - Risk Gene networks - Wiring Cancer Human disease genetics Pharmacological genomics Epigenetics Developmental genetics Functional genomics Stem cell genetics Genetic technology Genome evolution

4 Results, data, funding and contributors

5 Footnotes and XML tags for contributor roles

6 Publisher metadata transmitted to popular sites

7 Better information and metrics for authors and funders

8 Citable data management plans by data producers - Citable by unique digital object identifier (DOI) that points to current version. - Previous versions stored and independently citable. - Project descriptions (“marker papers”) grouped in a Collection together with funder policy documents and community standards papers.

9 What conventions and accession codes do 8 journals enforce? Annals of Human Genetics, Genetics in Medicine, Genome Research, Human Mutation, Journal of Human Genetics, Journal of Medical Genetics, Nature Genetics, PLoS Biology Grant and funder information6 by initials, 3 optional Competing financial interests5 publish, 1 if positive, 2 optional OMIM accession4 mandate, 4 do not HGNC gene names4 throughout, 3 first use, 2 no obligation Model organism database: genes4 mandate mouse, 3 all models DNA sequence 4 public deposit, 2 encourage, 2 no obligation Primer sequences4 mandate publication, 4 no obligation Expression array 3 mandate, 2 encourage, 3 no obligation LOVD deposition of human variants3 endorse, 5 not policy Prepublication data sharing2 for review, 1 if referees, 1 no enforcement, 4 no policy Postpublication data sharing2 enforce, 1 policy, 5 no policy NCBI/EBI deposition of human variants2 mandate, 3 endorse, 3 not policy Author contribution statement2 by initials, 4 optional, 1 in supplementary information HGVS allele nomenclature1 throughout, 1 first use, 2 optional, 4 no policy

10 Pilot study in data publishing and citation Thomson Reuters Joel Hammond Bruce Kiesel NPG Myles Axton Tony Hammond Penn. State U. Belinda Giardine Erasmus Med. Cent. Bharat Singh Free U. Amsterdam Paul Groth Leiden U. Med. Cent. Herman van Haagen Erik Schultes Barend Mons Ivo Fokkema Johan den Dunnen

11 Microattribution  Journals provide citation links from paper to paper. Quantitative citation provides a rough measure of usefulness.  Database accessions should be traceable to their original source.  Citations to database accessions in peer reviewed papers and in database entries should be counted and the count made public.  Microcitation provides incentive for collaborative genome annotation and a more accurate picture of individual and group research activity.  Microattribution can be extended to web traffic analysis.

12 Microattribution is an incentive to database deposition Microattribution started

13 Human Variome Microattribution Review (Hemoglobin)

14 RDF/XML triplet with provenance metadata Supplementary Table 1 Nanopublications of the form [HGVS gene variant name][has][Variant frequency] A"/> 0.25% Sardinian HbVar (A )

15 Our experiments suggest articles are a poor source of data  Leiden Open Variation Database (LOVD)196,000 variants in 3,267 genes from 84,937 individuals  Giardine et al. (ng.785) 1,901 unique variants in 37 genes affecting hemoglobin levels 1) Text search 10m PubMed abstracts with 4,940 gene variants of 11 genes in LOVD. 16 out of 10,000,000 abstracts contained gene variants from the search set 2) Search for 2,545 DMD variants in the full text of 109 articles on Duchenne muscular dystrophy selected by LOVD curator Johan den Dunnen. 625 out of 2,545 variants were found in 22 out of 109 articles (2,565 total mentions) 3) Search all LOVD entries with PubMed PMIDs indicating Nature Genetics articles. LOVD database linked a gene variant to 19 of 36 articles. Only 3 articles mention the variant in unambiguous HGVS nomenclature in the text. 4) Text mining ng.785 for nanopublications concerning all biomedical concepts. a) From the article, 13 out of a total of 698 nanopublications assert genetic variation b) From the Supplementary Tables, 1,734 nanopublications of the form [HGVS variant][has][OMIM VarID] and 121 of the form [HGVS variant][has][variant frequency] c) >40,000 nanopublications from the HbVarDB described by the article

16 Scholarly communication CurrentProposed Nature Genetics 43, 281–283 (2011) doi: /ng

17 Thank you!


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