Adding OAI ORE Support to Repository Platforms
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1 Adding OAI ORE Support to Repository Platforms Alexey Maslov, Adam Mikeal, Scott Phillips, John Leggett, Mark McFarland Texas Digital Library OR 09
2 Texas Digital Library Use Case for OAI OREO Overview Mapping ORE model to DSpace architecture Implementation ti Results and Implications
3 Texas Digital Library State wide initiative Eighteen members Public/Private Small/Medium/Large /L
4 Electronic Theses and Dissertations Federated Collection Built on top of DSpace/Manakin
5 Current Federation Method Performed via scripted ingest process New batch every semester Manual corrections to existing content
6 Replacement Requirements Perform maintenance automatically Detect changes in existing content Support interchange of metadata and content
7 Harvesting Solution Use the Open Archives Initiative Protocol for Metadata Harvesting Member institutions as data providers TDL Federated Repository as a service provider * Open Archives Initiative Protocol for Metadata Harvesting
8 OAI PMH, advantages Ubiquitous Supports selective harvesting Tracks changes Can be automated
9 OAI PMH, obstacles No existing harvesting solution for DSpace Supports harvesting of metadata specifically
10 Disseminating content How do you disseminate content through a metadata harvesting protocol? Wrap it in a packaging format Include the metadata Encode the references to the files Harvest the package
11 METS, advantages Metadata Encoding and Transmission Standard Maintained by the Library of Congress Mature standard Widely adopted d * Metadata Encoding and Transmission Standard, Library of Congress
12 Packaging, disadvantages Complete packaging format Open to interpretation Ambiguities at the OAI PMH layer
13 OAI ORE ORE Open Archives Initiative Object Reuse and Exchange defines dfi standards d for the description i and exchange of aggregations of Web resources. Specialized Simple * Open Archives Initiative Object Reuse and Exchange
14 Mapping DSpace to OAI ORE ORE Abstract Data Model DSpace architecture The Mapping
15 ORE Data Model Aggregations Aggregated Resources Resource Maps
16 Aggregation (A) Describes a setof resources Conceptual construct
17 Aggregated Resource (AR) Object of interest Part of an aggregation Can itself be an aggregation
18 Aggregated Resource (AR) Object of interest Part of an aggregation Can itself be an aggregation
19 Resource Map (ReM) Describes an aggregation Enumerates its aggregated resources Can be serialized in RDF or Atom XML
20 DSpace Model v1.x Communities Collections Items Bundles Bitstreams
21 ORE DSpace
22 Mapping
23 Mapping
24 Mapping
25 Bundles?
26 Bundles, Potential Options Bundles as Aggregations of Bitstreams Bundles as filters for Aggregated Resources Bundles as DSpace specific metadata
27 Bundles, Observations By default, specialized for internal tasks Extendible for any use Obscured from the end user
28 DSpace Bundles
29 Serialization in Atom
30 ORE Dissemination Implementation ORE Harvesting Automation
31 Interfacing with DSpace Web UI LNI and SWORD Ingest and export scripts Crosswalks Ingestion Dissemination
32 ORE Dissemination Crosswalk Requires: A DSpace Item Produces: Atom serialized ORE ReM
33 ORE Dissemination via OAI PMH Dissemination crosswalk produces ORE ReMs from DSpace Items OAI PMH provider disseminates them
34 ORE Harvesting Item level ORE ReM interpreter Collection level OAI PMH harvester Repository level harvest scheduler
35 ORE Ingestion Crosswalk Requires: A DSpace Item Atom serialized ORE ReM Produces: A DSpace Item with Bitstreams created from AR s
36 OAI PMH Harvester Queries remote OAI PMH providers Processes responses as individual records Implemented at Collection level
37 Collection Settings Source of collection s content OAI PMH provider information Harvesting Level
38 Collection Source
39 OAI PMH Settings OAI PMH Provider OAI Set Id DMD Format
40 Harvest Level
41 Harvesting a Collection Local collection (OAI-PMH harvester) Remote collection (OAI-PMH provider)
42 Harvest Metadata Local collection (OAI-PMH harvester) Remote collection (OAI-PMH provider)
43 Metadata Replicated Local collection (OAI-PMH harvester) Remote collection (OAI-PMH provider)
44 Case 1: Metadata Only Local collection (OAI-PMH harvester) Remote collection (OAI-PMH provider)
45 Harvest ORE ReMs Local collection (OAI-PMH harvester) Remote collection (OAI-PMH provider)
46 Case 2: Metadata + Content Ref s Local collection (OAI-PMH harvester) Remote collection (OAI-PMH provider)
47 Case 2: Metadata + Content Ref s Local collection (OAI-PMH harvester) Remote collection (OAI-PMH provider)
48 Case 3: Metadata + Content Local collection (OAI-PMH harvester) Remote collection (OAI-PMH provider)
49 Case 3: Metadata + Content Local collection (OAI-PMH harvester) Remote collection (OAI-PMH provider)
50 Harvest Scheduling System Monitors harvested collections Starts harvests at regular intervals Alerts administrators i of errors
51 The Primary Use Case Results TDL in General The Greater Web The Greater Web Community
52 Harvesting using PMH+ORE Federated ETD collection currently in pre production production at TDL Addresses primary requirements Performs maintenance automatically Detects changes in existing content Supports interchange of metadata and content
53 Other Possibilities Specialized DSpace instances Flexible repository architecture Interoperability with other repository systems Large-scale ETD repositories: A case study of a digital library application, Adam Mikeal, James Creel, Alexey Maslov, Scott Phillips, John Leggett, Mark McFarland. JCDL 2009
54 Current Priorities Live deployment at TDL Release to the open source community Integration into DSpace 1.6
55 National Leadership Grant #LG
56 Questions?
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