Back to Basics with Dublin Core Linda Powell IASSIST Conference 2009 The views expressed in this paper are those of the author and do not necessarily represent.

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Presentation transcript:

Back to Basics with Dublin Core Linda Powell IASSIST Conference 2009 The views expressed in this paper are those of the author and do not necessarily represent those of the Board of Governors of the Federal Reserve System.

Background Board of Governors of the Federal Reserve System –U.S. central bank – engages in monetary policy and banking supervision Improvements in technology led to improved data availability (more and better) Changes in the financial markets resulted in the need for more data

Historically Data that were purchased were used for specific research projects –Therefore, Economists that purchased data maintained the data Data collected by the Federal Reserve System were used for policy work –Therefore, data maintenance was centralized

Business Problem Currently no matter how data enter the Federal Reserve System (FRS) they may be used for policy work as well as research projects Data collected by the FRS was well documented and centralized Data purchased was decentralized

As of January 2009 The Board has three metadata repositories for firm level financial data 1.DANCE for collection level purchased data 2.MDRM for FRS collected data 3.Vendor metadata repository for variable level metadata from purchased data All three serve a purpose but they don’t work together

Times they are a-Changin As soon as DANCE was implemented in 2004 end users wanted more: –Lots more metadata –A way to make centralized notes about datasets –More datasets It was time to look at international standards So we decided to look at enhancing all three metadata repositories

What Standards did we Review? Although additional standards were reviewed, five candidates for the Board’s metadata warranted in-depth evaluation; SDMX and XBRL (which are familiar to Board Staff) MARC (which is familiar to library staff) Dublin Core and DDI (which were not familiar to Board staff)

Goldie Locks Approach SDMX - geared toward aggregate time series data DDI - good collection and variable level metadata but is geared toward social science rather than financial data and wasn’t (at the time of review) persistent over time. MARC - more bibliographic than we needed. None was ‘just right’ but Dublin Core has a robust set of collection level data and XBRL provided guidance for the firm level financial data.

Dance Variables Original vs. Dublin Core Original Variables FRB Name of Retained/ New Variables Dublin Core Element category databasetitle alternative database URLproduct url description keyword(s)keywordsubject vendorpublisher vendor URLvendor url creator record ididentifier date createddate date range availableavailable geographical coveragecoverage statusdataset statusaccrual policy data originationsource related resourcesrelation Original Variables FRB Name of Retained/ New VariablesDublin Core Element form of accessdata location form of accessformat type physical mediummedium update methodaccrual method software namesoftware update scheduleaccrual periodicity Data Contactdata contact Divisionpurchasing division data requestor contributing sectioncontributor purchasing section vendor contacts license contactlicense ownerrights holder license informationdata confidentialityrights bibliographic notationbibliographic citation license agreementlicense help filesinstructional method

Vendor Metadata Repository DC and XBRL Variables FRB Name of Retained/ New Variables Dublin Core ElementXBRL Element variable storage nametitle variable name shortalternative mnemonic description mdrm number id variableidentifier date start date end ordinal position flow-stock flow periodicity debit / credit indicator data type FRB Name of Retained/New Variables Dublin Core ElementXBRL Element multiplier numeric flag derived flag Formula formula variable length variable precision confidentiality formathasformat record last updated record updated by

Open Source Software Explored using an open source repository –EPrints, –FEDORA, and –DSpace – most promising and used a PostgreSQL database To meet the requirements for the new DANCE application the open source system would need significant customization. –Integrate with data security information –Integrate with Vendor Metadata repository –Allow end users to drill down through the application for related information –Provide a wiki bulletin board Decided to build our repository in-house

Conclusion Advantage of using the Dublin Core standard benefit of collective experience knowledge of hundreds of metadata professionals interoperability between systems that support Dublin Core