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Research data as the main product of research can be unique and is often the result of a complex and cost-intensive research process. Reuse and reinterpretation of such material is envisioned, not only to maintain research integrity, but also to accelerate the advancement of science by sharing results in an early stage. Generally speaking, there is little general experience with preservation, provision and publishing of research data. Thus so far little research has been done when it comes to researching data publishing models. In history, this has partly been due to the limited existing infrastructures, but with current information technologies, modern and tailored research data provision and publishing are facilitated. Why tailored? Characteristics of research data vary across and within disciplines. This results in more complex prerequisites/specification when compared to the process of paper publication which is very similar across disciplines. Thus, tailored models are necessary to match the individual characteristics of research data across disciplines. Within this presentation three different approaches are distinguished: object centric, text centric and data centric. Prerequisites and limitations regarding timing and room of the data provision will be discussed and experiences with each of the different models presented. Regardless of these models, it becomes apparent that due to the individual characteristics of research data, its provision and publication is only possible with the support and knowhow of the research community. This know-how needs to be linked to the competences of infrastructure facilities.
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Research data “publishing” –models, roles and responsibilities
Sünje Dallmeier-Tiessen
CERN | Scientific Information Service
Humboldt Universität, Berlin
Outline
Research data “publishing”
• Introduction: Research data
• Models– Text-centered occurrence
– Data-centered occurrence
– Object-centric principle
• Roles– Motivation, Competences, Responsibilities
• Conclusions
Open Access – Open Data 2010 Sunje Dallmeier-Tiessen | CERN
Research data publishing
1884 2010
Open Access – Open Data 2010 Sunje Dallmeier-Tiessen | CERN
Foto: AWI Bremerhaven, Gutt
Research dataWhat is research data?
How does it look like?
How can this be integrated
into modern scholarly
communication?
Research data “publishing” beyond disciplines?
Discipline specific characteristics of research data, BUT challenges are similar:– Non existing data publishing culture
• Missing infrastructure• Non established workflows• Missing awareness/motivation/submission
“we need to get this paper out” vs. “we need to publish this dataset”
– Diverse research datasets• Complexity: From simple files to complex datasets• Size: From small to “huge”• Documentation: varying requirements
Open Access – Open Data 2010 Sunje Dallmeier-Tiessen | CERN
ModelsHow does the world of research data publishing look like today?
stand-alone, text centered, data centered
Occurence: text centered publication model
• Long tradition
• Linked research data in
external data respositories, e.g. DataCite
• Attached supplemental material: tables, graphs, audio/video/data files (on same plattform as text publication)
Text, Results, Interpretation
Research Data
Metadata
Documen-tation
Graphs, Figures
Tables
Open Access – Open Data 2010 Sunje Dallmeier-Tiessen | CERN
Supplement
Source: Nature 2006
Open Access – Open Data 2010 Sunje Dallmeier-Tiessen | CERN
Occurrence: data centered publication model
Research Data
Interpretation,
Article
IInterpretation,
Article
II
Metadata
Documen-tation
Graphs,
Figures
Tables
Services
Open Access – Open Data 2010 Sunje Dallmeier-Tiessen | CERN
Data Journal
Data centered publication
• including data documentation
• data access
• quality assurance – peer review
• open access
Incentive: publication for enhanced data provision
Open Access – Open Data 2010 Sunje Dallmeier-Tiessen | CERN
Direct data access
Open Access – Open Data 2010 Sunje Dallmeier-Tiessen | CERN
With modern information technology, many opportunities
… to service the different needs in the research communities:
• When do I want to publish my data?• After production?
• Before or after the “text” publication?
• And with whom would I like to share?• With my colleagues?
• With my community?
• With the entire world?
• … or maybe this might change over time?
Different models and responsibilities for involved parties
Open Access – Open Data 2010 Sunje Dallmeier-Tiessen | CERN
Looking into the future: Principle – object centered (“mash up”)
Figure
Table
Documentation
Research Data
Services
Materials and services as individually addressed objects• Persistence of objects/services, • Persistent identifier
Results and Interpretation
Open Access – Open Data 2010 Sunje Dallmeier-Tiessen | CERN
Hands-on!?
Information Science/
Publishers
Research Community
IT/
Computing
after Corral, 2008Foto by katera, flickr
Prerequisites for Research Data PublishingCooperation of researchers and service providers
Access
Persistence, Trust-
worthiness
QualityResearch data
(Documentation, Metadata…)
Infrastructure/Workflows
Community/Researchers:
Provision, Documentation,Quality control
Infrastructure providerWorkflowsOffer infrastructureStandardsTrustworthinessResponsibilities
Open Access – Open Data 2010 Sunje Dallmeier-Tiessen | CERN
Role of researchers
… as data providers[data production]• Data documentation• Data submission (preparation of publishable
dataset)• Data quality assurance/peer review
… as data users• Citation of dataset, acknowledgement
Foto by G. F. Wicke, flickr
Open Access – Open Data 2010 Sunje Dallmeier-Tiessen | CERN
Source: Nature 2006
Role of information scientists
Service• Management of the research material
remix– Facilitating new workflows– Integration of new features: e.g. data
citation– Preservation, catalogue
• Interface between IT and researcher– Make publishing platforms usable
• Submission• Search functionality
Open Access – Open Data 2010 Sunje Dallmeier-Tiessen | CERN
foto: flickr
Conclusions
• Missing data publishing culture in many communities
• New publishing models allow tailored services, developed with the community
• Significant role of community in research data preservation and publishing
– Implications for content recruitment
Open Access – Open Data 2010 Sunje Dallmeier-Tiessen | CERN
QUESTIONS
sunje.dallmeier-tiessen@cern.ch
Funded by BMBF, Gentner Scholarship
Open Access – Open Data 2010 Sunje Dallmeier-Tiessen | CERN
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