Reproducibility, Open Data, Multiplication of Data Impact
| dc.contributor.author | Koch, Steve | |
| dc.date.accessioned | 2012-11-07T23:36:20Z | |
| dc.date.available | 2012-11-07T23:36:20Z | |
| dc.date.issued | 2011-10-25 | |
| dc.identifier.uri | http://hdl.handle.net/10150/251353 | |
| dc.description.abstract | This presentation was given at the 2011 Open Access Week program, “The Future of Data: Open Access and Reproducibility” on October 25, 2011. Open Access Week is a world-wide event where academic institutions explore Open Access – the ideal of free, full-text, immediate, online access to peer-reviewed scholarship and research results so new ideas and information can be obtained rapidly and freely by everyone. Open Data is the idea that data should be freely available to anyone to use and reuse without access restrictions, licenses, copyright, patents and charges for use. For many scientists, integrating data is becoming a necessity. | |
| dc.relation.url | http://www.mindmeister.com/119784203/2011-arizona-oa-week-reproducibility-open-data-multiplication-of-data-impact-steve-koch-u-new-mexico-stevekochscience-gmail-com-click-on-arrows-for-links | en_US |
| dc.subject | Open access | en_US |
| dc.subject | Open data | en_US |
| dc.subject | Open science | en_US |
| dc.subject | Open notebook science | en_US |
| dc.title | Reproducibility, Open Data, Multiplication of Data Impact | |
| dc.type | Presentation | en_US |
| dc.contributor.department | University of New Mexico | en_US |
| html.description.abstract | This presentation was given at the 2011 Open Access Week program, “The Future of Data: Open Access and Reproducibility” on October 25, 2011. Open Access Week is a world-wide event where academic institutions explore Open Access – the ideal of free, full-text, immediate, online access to peer-reviewed scholarship and research results so new ideas and information can be obtained rapidly and freely by everyone. Open Data is the idea that data should be freely available to anyone to use and reuse without access restrictions, licenses, copyright, patents and charges for use. For many scientists, integrating data is becoming a necessity. |