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DataCite 2011 PLoS Perspectives on Data Publishing: Open Access, Open Data Jennifer Lin, Product Manager, PLoS. Committed to making the world’s scientific and medical literature a public resource. Open Access = Share research freely and openly online.
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DataCite 2011 PLoS Perspectives on Data Publishing: Open Access, Open Data Jennifer Lin, Product Manager, PLoS Committed to making the world’s scientific and medical literature a public resource
Open Access = Share research freely and openly online But do scientific ‘users’ of our papers just want to read them? • Everyone can read, store and index your paper • Easy to find – all in PubMed Central
Open Data is essential to Open Access • Research papers do not make sense without supporting statements, i.e., data. • Scientific readers want more than just to read a paper: • They want to replicate the work themselves, so as to build on it • They want to re-use the data for other purposes (e.g. meta-analysis) • They want to mine the data in various ways and mash-up • The people who collect and generate data want attribution so they get the credit for all their hard work
PLoS champions Open Data We acknowledge the need for a permanent, stable, curatedonline repository for all types of data used in published papers. • Preserve data in a form that is citable, openly accessible, searchable, and reusable. • Link data to the publicationin which they originally appeared. • Ensure that data are maintained for future use. • Gene and genome sequences: GenBank • Clinical trials: clinicaltrials.gov • Specialised fieldsFlyBase (Drosophila) • Dryad, open access database for ‘homeless’ data associated with publications
Sharing data directly benefits authors But authors do not optimally share now
PLoS’s efforts with Open Data • Change the behaviors of researchers to share openly with its publication policies – biggest challenge • Partner with funders, institutions and others who have a stake in this area (e.g., Dryad, ORCID, etc.) • Incorporate tools to make it easier to capture the data as researchers do the work
Open Data is valuable datawhen made visible and freely available to the research community Example: Article-level Metrics (ALM) • Provides post-publication view of research impact from digital locations inclusive of and beyond conventional publication channels: • article usage, community input (within PLoS) • citations in scholarly and non-scholarly literature, • media and blog coverage • social/behavioral mining • Serves as a tool to discover and interpret content in the problem of filtering, aggregation, and evaluation of research • Counters the lack of meaning in the journal Impact Factor and provides an alternative metric for research evaluation
Value of ALM Research & Discovery Self-Metrics
New ALM Uses from the Community Jason Priem Mike Chelen
Open ALM Data: no known limit to its value Via PLoS’s open API, the uses of ALM data are unbounded. • Current implementation* includes: • Interactive and dynamic filtering tools to select for variables and constraints specific to researcher’s needs • Novel data analytics to compare research to other papers in same field • Navigation tools to conduct highly targeted, efficient searches based on particular impact indicators • Data visualization, which engages innovative statistical analyses and computational algorithms within an intuitive, visual language system * Existing or currently in development • Future ideas? • Mendeley/Binary Battle currently underway • ∞