Presentation on theme: "ODESI Introduction to Data, Library Data Services, and Why we need ODESI?"— Presentation transcript:
ODESI Introduction to Data, Library Data Services, and Why we need ODESI?
ODESI : How did we get here? Survey data - What’s that about? Background on what data services does Why share metadata? Why share data?
Survey data What? –Socio-economic and health surveys –Canada-wide (many 1000’s of surveys) and internationally –Public opinion polls Why? –Teaching, research, public policy Libraries’ role? –Data access, support, and data literacy
The 2006 Census of Population From your mailbox: May 16, 2006 … to statistics in the media September 13, 2007 Married people are now in the minority; For the first time in Canada, most adults are not legally wed, census shows. …more people are choosing common law over marriage. … Public-use microdata to be released in Summer 2009 How are surveys & censuses gathered?
Data/Stats ALL COME FROM THE QUESTIONS! 2006 Census– SHORT (2A) and LONG (2B) Questionnaires, on, e.g., question on type of union… SHORT (2A) LONG (2B) Questionnaires, etc.
Statistics come from… … DATA Data are processed to become Statistics Person 1…2
Tables, Charts, Graphs (in Books, CD-ROM, the WWW) A ‘number’ Survey Data (machine-readable) Data continuum… (Microdata) Continuum of Survey Data – User Needs
Les données et les statistiques comparées Data and statistics compared CONTINUUM OF NEEDS Données / Data : Disponible électroniquement Available electronically Le matériel brut The raw material Ne sont pas prêtes pour présenter Not presentation-ready Traitement demandé Require processing Statistiques / Statistics : Peuvent être utilisées par ordinateur Generally computer readable. Sommaires de données / Summaries of data Prêtes pour présenter / Presentation-ready Souvent présentées commes des cartes ou des graphiques / Often visually presented as graphs or maps or in pdf’s
Your next Question? Where is this data? How can I access it?
The not-so-good old days -Data and their Metadata “were” processed at individual Library Data Centres (in English and in French) - Resulting in isolated points of access with partial metadata (look a little, and touch less)
Sharing metadata Metadata is done once, and then shared by all libraries To allow users of systems like scholars portal / to search all the metadata
DDI in short Let’s the world find the “books” (data) and read them in parts or in their entirety
Why DDI ? Interoperability between data sites* Single Document – multiple purposes –Richer Meaning and Content to Explore –On-line Subsetting and Analysis –Precision in searching ! * Sometimes ODESI holds the data and metadata, sometimes it holds just the metadata and links to the data
The TOOL: Odesi Based on DDI standard Links metadata to data so users can correctly access and interpret the right data Uses Nesstar and MarkLogic! Best of both worlds : Power of data and searching
Post ODESI World… OCUL libraries… Relieved of so much data processing More time for : –promoting data access –collaborating with faculty –promoting data and statistical literacy (numeracy) –solving user’s technical and statistical problems –partnering to finding new sources of data for our users