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Community Organizations Center for Open Science
Center for Open Science
Center for Open Science
Acronym
COS
Non Governmental organization

Location

Center for Open Science
210 Ridge McIntire Road
Suite 500
2903-5083
Charlottesville
Virginia
United States
Working languages
inglês

Our mission is to increase openness, integrity, and reproducibility of research.


These are core values of scholarship and practicing them is presumed to increase the efficiency of acquiring knowledge.


For COS to achieve our mission, we must drive change in the culture and incentives that drive researchers’ behavior, the infrastructure that supports their research, and the business models that dominate scholarly communication.


This culture change requires simultaneous movement by funders, institutions, researchers, and service providers across national and disciplinary boundaries. Despite this, the vision is achievable because openness, integrity, and reproducibility are shared values, the technological capacity is available, and alternative sustainable business models exist.


COS's philosophy and motivation is summarized in its strategic plan and in scholarly articles outlining a vision of scientific utopia for research communication and research practices.


Because of our generous funders and outstanding partners, we are able to produce entirely free and open-source products and services. Use the header above to explore the team, services, and communities that make COS possible and productive.

Members:

Resources

Displaying 401 - 405 of 447

Theme Overview: Transitions in Agriculture

Reports & Research
Dezembro, 2012
Australia
Norway

Agriculture, Agricultural Finance, Agricultural Policy, Farm Firms and Farm households, Land ownership and Tenure, Retirement, Agribusiness, Agricultural and Food Policy, Agricultural Finance, Consumer/Household Economics, Land Economics/Use, Research and Development/Tech Change/Emerging Technologies, N25, Q12, Q14, Q15, Q18, J26,

Does land fragmentation affect land productivity? Empirical evidence from Bulgaria

Reports & Research
Dezembro, 2012
Bulgaria

Land fragmentation is considered a major obstacle to the efficient use of land and other agricultural resources in Bulgaria. This study is concerned with formally testing the relationship between fragmentation of land plots and land productivity in the country. Multiple regression analysis and agricultural data obtained from the 2003 Bulgaria Multi-topic Household Survey is employed for the purpose. Results of the study suggest that the level of current fragmentation is relatively low and not likely to adversely affect land productivity.

Institutional Change on First Nations: Examining factors influencing First Nations Adoption of the Framework Agreement on First Nation Land Management

Reports & Research
Dezembro, 2012
Australia
British Indian Ocean Territory
United States of America

In 1999 the Canadian Federal government passed the First Nations Land Management Act, ratifying the Framework Agreement on First Nation Land Management signed by the government and 14 original signatory First Nations in 1996. This Agreement allows First Nations to opt out of the 34 land code provisions of the Indian Act and develop individual land codes, and has been promoted as a means of increasing First Nation autonomy and facilitating economic growth and development on reserve lands.

Public Participation in Land Use Planning: Values and Case Analysis

Reports & Research
Janeiro, 2012
Norway

Objective: we want to explore values and methods of public participation in land use planning through analysis on values of public participation and case of Ji’an County in Jiangxi Province. Methods: document and data method, case analysis method, qualitative and quantitative combined methods. Results: public participation in land use plays a positive role in improving science and practice of planning.

Spatio-temporal Dynamic Simulation of Urban Land Use in Karst Areas Based on CLUE-S Model: A case Study of Dahua Yao Nationality Autonomous County in Guangxi Zhuang Autonomous Region

Reports & Research
Janeiro, 2012
China

This article uses TM images in 1999 and 2006 in Dahua County, selects the driving factors having great impact on urban land use change, and conducts data processing using GIS software. It then uses CLUE-S model to simulate land use change pattern in 2006, and uses land use map in 2006 to test the simulation results. The results show that the simulation achieves good effect, indicating that we can use CLUE-S model to simulate the future urban land use change in karst areas, to provide scientific decision-making support for sustainable development of land use.