Data Publishing and Institutional Repositories
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Varsha Khodiyar discussed data publishing and institutional repositories. Data papers allow data producers to receive credit and make data reuse easier by including details about what was done to generate the data, how it was processed, its location, who was involved and technical analyses supporting its quality. Unlike traditional articles, data papers do not contain new scientific hypotheses testing. Scientific Data publishes both a human-readable article and machine-accessible metadata. It recommends data repositories and allows authors to use their institution's repository when submitting, obtaining a DataCite DOI. Repositories are evaluated based on recognition, preservation plans, community standards implementation, stable identifiers and open access without commercial use restrictions.
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Data Publishing and Institutional Repositories
- 1. Varsha Khodiyar, PhD Data Curation Editor, Scientific Data Nature Publishing Group @varsha_khodiyar @scientificdata Twitter friendly talk Data Publishing and Institutional Repositories FORCE16 : Libraries United in Opening New Scholarly Platforms 18th April 2016
- 3. Why data papers? – Credit for data producers 3
- 4. Why data papers? - Data reuse is easier 4 “The Data Descriptor made it easier to use the data, for me it was critical that everything was there…all the technical details like voxel size.” Professor Daniele Marinazzo
- 5. Results Discussion Analysis & Conclusions What was done to generate the data? How was the data processed? Where is the data? Who did what and when? Methods and technical analyses supporting the quality of the measurements. Do not contain tests of new scientific hypotheses Comparison of data paper to traditional article
- 6. Data papers at Scientific Data 6 Human readable representation of study i.e. article (HTML & PDF) Human readable component i.e. article text (HTML & PDF) Machine accessible component i.e. metadata (ISA format)
- 7. Scientific Data’s Repository List Almost 80 recommended data repositories listed 1. Is there a public data-specific repository for your data? 2. If there is no public data-specific repository for your data exists, does your funder or institution mandate deposition to a particular repository? www.nature.com/sdata/data-policies/repositories 7
- 8. Authors can use their own IR when submitting to Scientific Data For institutional repositories (such as ScholarsArchive@OSU), select ‘DataCite DOI’ as Repository Name during submission DataCite 8
- 9. + IR Scientific Data’s IR workflow
- 11. What do data journals require from a repository? 1. Recognized within their scientific community 2. Long-term data preservation plan 3. Implementation of community reporting standards 4. Stable identifiers for published datasets 5. Allow open access to data without unnecessary restrictions e.g. no commercial use restrictions Questionnaire for new repositories requesting listing: http://www.nature.com/sdata/data-policies#repo-suggest 11
- 12. Visit nature.com/sdata Email scientificdata@nature.com Tweet @ScientificData Honorary Academic Editor Susanna-Assunta Sansone Managing Editor Andrew L. Hufton Data Curation Editor Varsha K. Khodiyar Advisory Panel and Editorial Board including senior researchers, funders, librarians and curators Supported by
Editor's Notes
- Scientific Data is an open-access, peer-reviewed publication for descriptions of scientifically valuable datasets. Our primary article-type, the Data Descriptor, is designed to make your data more discoverable, interpretable and reusable.
- Biology example: Sequence data from this Data Descriptor, was used to help develop and test this groundbreaking assembly algorithm published at Nature. Data publication does NOT in any way preclude collaboration and co-authorship – our observations so far suggest very much the opposite.
- Daniele knew about the dataset prior to Chris’ paper being published, as Chris had shared this in Torrent Exchange. However he did not access the data from this. He saw on Twitter when the SciData paper was published and then read the paper. Daniele said “I would never have collected this data myself, as it’s not my primary field of work”. He said the Data Descriptor made it easier to use the data “for me it was critical that everything was there [in the Data Descriptor ]…all the technical details like voxel size.”
- Data Descriptors are methodologically driven while traditional research articles are hypothesis driven. Nature-titled journals have agreed that prior publication of a Data Descriptor will not compromise the novelty of new manuscript submissions as long as those manuscripts go substantially beyond a descriptive analysis of the data, and report important new scientific findings appropriate for the journal. See full policy online: http://www.nature.com/sdata/for-authors/editorial-and-publishing-policies/#prior-pub
- We currently list almost 80 repositories, across biological, medical, physical and social sciences When required, we provide guidance to authors on the best place to store their data