The research data landscape: an overview - Oya Rieger, Cornell University

Vision for Open Research Data

Oya Y. Rieger

Cornell University Library

rieger@cornell.edu

June 2012, Copenhagen

Research involves the systematic collection and analyses of information to

increase our understanding of the phenomenon under study

source: flicker.com

Scholarly communication involves the creation, exchange, and dissemination of knowledge within the context of

academic discourse.

Research

Data Collection

Authoring

Presenting

Publishing

Dissemination

Archiving

Preservation

Analysis

Interpretation

Sharing

Networking

KNOWLEDGE

CREATION

?

Access to Research Data

• support open scientific inquiry

• encourage diversity of hypotheses & data analysis

• encourage interdisciplinary research

• provide greater returns for public investment in

research

• facilitate the education of new researchers

• foster downstream commercialization of outputs

• support studies on data collection & analysis methods

• engage public in science

Arzberger et al., “Promoting Access to Public Research Data for Scientific,

Economic, and Social Development.” Data Science Journal, 3/29, 2004

http://data.research.cornell.edu

http://data.research.cornell.edu

Steinhart et al., Journal of eScience Librarianship, 2012; 1(2)

Steinhart et al., Journal of eScience Librarianship, 2012; 1(2)

txt

doc

xls

jpeg

Steinhart et al., Journal of eScience Librarianship, 2012; 1(2)

What might prevent you from sharing the data you have produced or

intend to produce for this project?

The Loon Project (Funded by NSF)

flickr.com

http://www1.chapman.edu/~wpiper/index.html

http://ecommons.library.cornell.edu/handle/1813/13098

http://ecommons.library.cornell.edu/handle/1813/13098

Carrol

http://ecommons.library.cornell.edu/handle/1813/17040

http://www.cornell.edu/video/index.cfm?VideoID=1166

Loon Project

technical informational

organizational sociocultural

usability

technical infrastructure

• scalable and flexible systems to store,

discover, access, and archive content

• interoperability standards to link related

information objects and various types of

repositories

• metadata standards to facilitate discovery,

access, archiving, and repurposing

sociocultural issues

• community-based standards for deposit, use,

and maintenance of data

• different access provisions in support of

academic, and entrepreneurial requirements

• incentives and rewards for scientists to share

the outputs of their research endeavors

information policies

• information policies to support:

– IPR

– privacy

– confidentiality

– institutional ownership

– security

– access limitations

– retention and deaccessioning

organizational infrastructure

• business and sustainability plans

• governance models

• recognition and engagement of stakeholders

• collaboration strategies

• communication and marketing strategies

usability

• data quality standards

• ease of deposit to encourage end-users

• tools to support analytics, mining, integration,

and visualization

• digital identifiers to persistently locate

• citation standards to reference resources

• metrics to track and communicate impact

technical informational

organizational sociocultural

usability