Evaluating the possibilities of DataCite for developing 'Open data metrics' on the production and usage of datasets worldwide
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1. Researchers Nicolas Robinson-Garcia, Phillipe Mongeon, Wei Jeng, and Rodrigo Costas presented findings from a study evaluating DataCite's potential for developing open data metrics on the global production and usage of datasets. 2. The study examined which countries are most active in sharing data through DataCite and whether certain disciplines are more biased towards data sharing. It also looked for evidence of data reuse by analyzing whether researchers are using DataCite DOIs to link papers to datasets or mentioning datasets through social media. 3. Preliminary results showed the top countries contributing data to DataCite, the types of data being shared, limitations in analyzing data citations due to heterogeneity in data publishing
Evaluating the possibilities of DataCite for developing 'Open data metrics' on the production and usage of datasets worldwide
- 1. 3:AM in BUCHAREST| September 28-29, 2016 Evaluating the possibilities of DataCite for developing ‘Open data metrics’ on the production and usage of datasets worldwide Nicolas Robinson-Garcia, Phillipe Mongeon, Wei Jeng & Rodrigo Costas
- 2. Promotion of data sharing infrastructures • Data repositories • Data Citation Index • Persistent linkages (DOIs) Promotion of data sharing practices • Data sharing incentives • Perceived benefits Sharing and citing data DATA CITATIONS
- 3. Promotion of data sharing infrastructures • Data repositories • Data Citation Index • Persistent linkages (DOIs) Promotion of data sharing practices • Data sharing incentives • Perceived benefits Sharing and citing data DATA CITATIONS Maximizing investment Searching for evidences of data sharing
- 4. Aims of this study 1.Who shares data? • Which countries are sharing scientific data (in DataCite)? • Are there biases by discipline (in DataCite)? 2.Are there evidences of data reuse? • Are researchers using DOIs to link papers to datasets? • Are they mentioning datasets through social media?
- 5. Citations to publications • Based on researchers’ communication patterns • Influenced by research evaluation schemes • Highly standardized and extended within the scientific practice Citations to datasets • Promoted by funding bodies • Not embedded on scholarly communication patterns • Heterogeneous forms of acknowledgement (paper, dataset, none…) From citing papers to citing data
- 6. The metadata schema of DataCite Mandatory fields Source: DataCite Metadata Working Group (2016). http://doi.org/10.5438/0012
- 7. Citations to data Recommended format Source: DataCite Metadata Working Group (2016). http://doi.org/10.5438/0012 Creator (PublicationYear): Title. Publisher. Identifier
- 8. Preliminary results Types of data
- 9. Preliminary results Availability of Publisher information
- 10. Preliminary results What is a Publisher?
- 11. Preliminary results Citations Altmetric.com (Twitter) DataCite records with DOI 6352875 Records with metrics (matched on DOI) 6432 14314 %records with metrics 0.10% 0.23% Intensity (records with metrics/metric) 17.9 4.1 • Citation and altmetric analysis • Matches based only on DOIs!
- 12. The no. 1s The most cited dataset? The most tweeted dataset?
- 13. Preliminary results Country of origin based on publisher info Country # Records UK 1728428 Germany 966289 Switzerland 591062 USA 560799 Canada 81471 Spain 32795 Netherlands 26791 Italy 25241 Australia 21059 Ireland 19416 Austria 18571 USA, UK 12981 France 9443 Denmark 8804 BE,DE,IT,NL,ES 5366 Sweden 2816 Korea 2
- 14. Preliminary results Country of origin based on publisher info
- 15. Bibliometric limitations Technical Heterogeneity of sources Lack of basic data (affiliation) Lack of standard normalisation Conceptual Publication vs. Data production patterns Data citations vs. Data reuse Conceptual heterogeneity
- 16. Some examples Publication author vs. Data producer distribution Authors (non disambiguated) WoS records Creators DataCite records WANG, Y 56596 Geml, József 487363 ZHANG, Y 54203 Ryberg, Martin 487351 WANG, J 49817 Lumbsch, H. Thorsten 487350 LIU, Y 46307 Tedersoo, Leho 487350 LI, Y 45773 Hampe, Felix 487350
- 18. Some examples [ " #IHaveWrittenMyOwnOneNewScientificPaperOnTheGeographyAndMarsLif e. #IHaveAlreadySuccessfullyOFFICIALLYPublishedItOn #DiscoveryNews #ScienceAlert #DiscoveryChannelIndia #AndAlsoOn #DiscoveryCommunications #AndItsOFFICIALPublicationIsThereOnAllOfItSoPlea Heterogeneity of Publisher information Phys.Rev. C75 (2007) 045203 ETH-Bibliothek Zürich, Bildarchiv / Fotograf: Unbekannt / Fel_027418- VE / Public Domain Mark (see the metadata of copyright: http://www.e- pics.ethz.ch/index/ethbib.bildarchiv/ETHBIB.Bildarchiv_Fel_008192- RE_257002.html) JHEP 1311 (2013) 183 References DOI numbers Copyright statements Hashtags???
- 19. 3:AM in BUCHAREST| September 28-29, 2016 Thank you!