1. A Journey in Data Discovery Wendy Watkins TSES 3001 30 October, 2007

2. (Ontario Data Documentation, Extraction Service and Infrastructure) A project to provide data on a browser-based platform Uses the DDI (Data Documentation Initiative) international standard for metadata Written in XML so it can be read across multiple platforms –Text-based representation that can be preserved (ascii) Allows searching across datasets and servers Provides an easy-to-use interface for beginning researchers

3. A $1.04 million project funded by OntarioBuys (province) and OCUL (University Libraries) Labour-intensive project requiring the input of extensive metadata to provide better access and preservation A collaborative effort between Carleton and Guelph Work is being done by co-op students from both universities Will include: –55 years of Gallup Canada datasets (1945-2000) –About 250 Statistics Canada surveys –Canadian election surveys from 1965-2006 –Other polling data –Data from the Inter-university Consortium for Political and Social Research at Ann Arbor Data will be mounted on Scholars’ Portal XML files will be shared across the country

4. Will build on previous work CRIC files are already in this format Exposes undergraduates to the research enterprise at an early stage in their careers Is important in developing numeracy skills Focus is on understanding what the data show, not on the formulae More will be available at Carleton by the next term

5. Uses the Nesstar software Metadata is first put into the publisher Can be as rich as you want to make it Can be exported as an XML file –If something better comes along, the new software will read the file Collaboration through sharing the work

6. click

13. Will allow data to be shared by all with access to the web Because of its format, evaporation will be avoided

14. (Ontario Data Documentation, Extraction Service and Infrastructure) A project to provide data on a browser-based platform Uses the DDI (Data Documentation Initiative) international standard for metadata Written in XML so it can be read across multiple platforms –Text-based representation that can be preserved (ascii) Allows searching across datasets and servers Provides an easy-to-use interface for beginning researchers

15. A $1.04 million project funded by OntarioBuys (province) and OCUL (University Libraries) Labour-intensive project requiring the input of extensive metadata to provide better access and preservation A collaborative effort between Carleton and Guelph Work is being done by co-op students from both universities Will include: –55 years of Gallup Canada datasets (1945-2000) –About 250 Statistics Canada surveys –Canadian election surveys from 1965-2006 –Other polling data –Data from the Inter-university Consortium for Political and Social Research at Ann Arbor Data will be mounted on Scholars’ Portal XML files will be shared across the country

16. Will build on previous work CRIC files are already in this format Exposes undergraduates to the research enterprise at an early stage in their careers Is important in developing numeracy skills Focus is on understanding what the data show, not on the formulae More will be available at Carleton by the next term

17. Uses the Nesstar software Metadata is first put into the publisher Can be as rich as you want to make it Can be exported as an XML file –If something better comes along, the new software will read the file Collaboration through sharing the work

18. click

25. Will allow data to be shared by all with access to the web Because of its format, evaporation will be avoided