Roadmap Activity 2a:A GEOSS citation standard:

Hans-Peter PlagIEEE

University of Nevada, Reno, Nevada, USA;

Activity 2: Encourage scientists and technical experts to contribute to GEOSS 2.1 Roadmap Activity 2a; a GEOSS citation standard: - Data citation receives rapidly increasing attention: ESIP, ICSU/CODATA, WDS, U.S. Academy of Sciences, DataCite, ...

John Wilbanks, Creative Commons, DataCite Annual Meeting 2011, Berkeley, August 25, 2011, see http://www.slideshare.net/wilbanks/datacite-wilbanks.

Citation: Wikipedia:This article is about the research concept acknowledging the use of another's ideas.

Data citation is about the research concept acknowledging the use of another's data.

Sequence:•Find data•Access data •Understand data•Be influenced by data•Give credit back to source of influence

Data citation data depends on a lot of other actions

There is a needs to determine whether this is about credit, influence, the advancement of science

DataCite Annual Meeting; Presentation by John Wilbanks, Creative Commons:

1. Starting point: data citation is needed2. There is uncertainty how to do it3. Data citation is not different from other citation (and other

attempts): Most likely, the first attempt will not be very successful

Therefore, let's not try to solve all the problem at once, but rather start with something that can evolve (reasoning behind V1.0!)

Remember: It's about the use of data and its influence on science

Question: Can we solve citation before we understand how to store and preserve, how to forget, how to name, how to find, how to distinguish?

John Wilbanks: Our solutions have to be:

Simple. Weak. Scalable. Open.

What do other say?

ESIP

CODATA

CODATAIssues Requiring Attention

A. Technical 1. Interoperability and Facilitation of Re-use. 2. Citation Formats. 3. Metadata. 4. Database Versioning.

B. Scientific - different disciplines may have disparate needs for granularity; - differences among disciplines that need to be addressed distinctly?

C. Institutional - What are the roles of the respective stakeholders? - What are the implications for these stakeholders? - Does this vary by discipline?

D. Financial - lot of granularity can be cost-prohibitive. - must be accessible and its costs affordable by all necessary user communities.

CODATAE. Sustainability

F. Persistent Identifiers - e.g., use of the DOI (Digital Object Identifier) System. - use of DOI names for datasets is promoted by the not-for-profit DataCite consortium, which has registered over 600,000 datasets; - however, significant differences between data and documents, that may make some aspects of the DOI system less attractive.

G. Legal Issues/Intellectual Property Rights - Any registry system must accommodate emerging intellectual property rights mechanisms, e.g. Creative Commons and Science Commons licensing, as well as traditional copyright law.

H. Socio-cultural and Community Norms - develop a common basis and community of practice for recognizing and rewarding data work;

J. Other Issues - will come up.

DataCite

DataCite