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Baby Steps to Data Publication: Data Papers and Data Journals

Baby Steps to Data Publication: Data Papers and Data Journals. 24 August 2011 UC Curation Center and Publishing Services California Digital Library. Problem: scientific data is at risk. Changes in the natural world produce lots of vital data that’s rarely shared or archived

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Baby Steps to Data Publication: Data Papers and Data Journals

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  1. Baby Steps to Data Publication:Data Papers and Data Journals 24 August 2011 UC Curation Center and Publishing Services California Digital Library

  2. Problem: scientific data is at risk Changes in the natural world produce lots of vital data that’s rarely shared or archived • Missing conventions and rewards • Hypothesis: supply them via “data publication” Global Change Galactic Change

  3. A data curation solution at CDL • New “data paper” publishing model [GBMF] • DataCite consortium and citation standards • Other fronts: • DataONE global data network [NSF] • Merritt: general-purpose data repository • EZID: scheme-agnostic & de-coupled creation, resolution, and management of persistent ids • Data management plan generator • Web archiving service [Library of Congress] • Open-source Excel add-in [MS Research & GBMF]

  4. Need to save data + processing Algorithms + Data Structures = Programs

  5. Vision for a “data paper” Idea: wrap the unfamiliar in a familiar façade • Funded by the Gordon and Betty Moore Foundation • A “data paper” minimally consists of a cover sheet and a set of links to archived artifacts • Cover sheet contains familiar elements such as title, date,authors, abstract, and persistent identifier (DOI, ARK, etc.) • Just enough to permit basic exposure to and discovery of datasets by internet search engines, which in turn permits • Building a basic data citation • Indexing by services such as Google Scholar • Instilling confidence in the identifier’s stability

  6. Hypothetical Data Paper

  7. Next could be the “data journal” There’s room for “data paper” format to grow in functionality • Incorporation of general-purpose and discipline-specific elements to enrich discovery, re-use, and archiving • Potential parallel emergence of a new kind of “data journal” • Like regular journals, data journals would spring up around disciplines and sub-disciplines as needed • Expect some of them to be peer-reviewed • An opportunity for hybrid publishing – publications, publications with data, data publications, etc. • Envisioned as “overlay” journal analogous to data paper • A variety of data paper sources • Table of contents, editorial policies, submission guidelines, etc.

  8. Provide incremental benefit for incremental effort ... plus nano-publications and executable papers.

  9. Data paper: envisioned outcomes • Familiar look and feel eases adoption and indexing • Getting credit motivates deposit • Stable storage and ids leads to citation and impact • Data products enter the record instead of being lost • Data journals spring up around disciplines • Peer review optimized by authors’ ability to indicate which information is essential or just related

  10. Questions? John.Kunze@ucop.edu California Digital Library http://www.cdlib.org “Data Paper” Paper: http://escholarship.org/uc/item/9jw4964t

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