Gathering Data

Gathering Data

NISO E-Resource Management Forum

Denver, ColoradoSeptember 24-25, 2007

Oliver PeschEBSCO Information Services

[email protected]

Overview

• The workflow

• The elements

• The entities

• Sources of the data

• Current and potential harvesting opportunities

• Standardization efforts and other initiatives

Overview

• The workflow

• The elements

• The entities




Product

ResourcesResources

ResourcesResources Interface

Location

Consortium

What

For whomMaking sure

How muchTrial

AcquisitionLibrary

License

Terms

AccessAdmin

Terms

Expose

TheDeal

Support

Product

ResourcesResources


Location

Consortium

What

For whoMaking sure

How muchTrail

AcquisitionLibrary

License

Terms

AccessAdmin

Terms

Expose

TheDeal

Support

315

Product

ResourcesResources


Location

Consortium

Trial

AcquisitionLibrary

License

Terms

AccessAdmin

TheDeal

E-ResourceE-Resource

LibraryLibrary

ConsortiumConsortium TrialTrial

AcquisitionAcquisition

LicenseLicense

TermsTerms

AccessAccessAdministrationAdministration

ProcessingProcessing

ContactsContacts

ENTITIES

Product

ResourcesResources


Location

Consortium

Trial

AcquisitionLibrary

License

Terms

AccessAdmin

TheDeal

E-ResourceE-Resource

LibraryLibrary

ConsortiumConsortium TrialTrial

AcquisitionAcquisition

LicenseLicense

TermsTerms

AccessAccessAdministrationAdministration

ProcessingProcessing

ContactsContacts

ENTITIES

33

16

14 9

24

23

71

2950

27

8

Overview

• The workflow

• The elements

• The entities




Sources of data

• Library

• Publisher/Provider

• Agent/Jobber

• Consortium

• A-to-Z/Knowledge base supplier

Overview

• The workflow

• The elements

• The entities




E-Resource Entity

Magnitude 10s of thousands

Total number of elements 33

Elements only from the library 4

Potential for harvesting 29

• Publisher/Provider 29 (11)

• Agent 28 (14)

• A-to-Z/Knowledge base supplier 22 (20)

• Consortium 0

Acquisition Entity

Magnitude Dozens





• Agent 11 (0*)

• A-to-Z/Knowledge base supplier 0

• Consortium 4 (0)

* This data is available to the ILS via EDI, just not the ERM

License Entity

Magnitude Dozens





• Agent 9 (2)


• Consortium 0

Terms Defined Entity

Magnitude Dozens





• Agent 59 (2)


• Consortium 0

Access Entity

Magnitude Dozens





• Agent 15 (8)


• Consortium 0

Administration Entity

Magnitude Dozens





• Agent 24 (0)


• Consortium 0

Overview

• The workflow

• The elements

• The entities




• Usage data

- COUNTER and SUSHI

• E-Resource information - Bibliographic

- MARC records from content providers

- MARC records from knowledge base vendors

• E-Resource information – Holdings

- Spreadsheets from vendors, agents, publishers

- Downloads from knowledge base vendors

• Spreadsheets, XML (ONIX SOH)

• Financial

- Spreadsheets or Invoice load (EDI) from agent

• Access/Admin data

- Reports (spreadsheets) from vendor

Current Data Harvesting opportunities

Current Standards initiatives

Existing

• COUNTER/SUSHI (usage)

• ONIX SPS (serials products and subscriptions)

• ONIX SOH (holdings)

• ONIX for Serials Coverage Statements

• ICEDIS (EDI)

In development

• ONIX PL (License Expression Group)

• ERMI-2 ILS/ERM interoperability

• TRANSFER

COUNTER

• A Code of Practice for making usage statistic consistent, credible and comparable

• Dictates, terminology, processing of logs, formatting of reports and delivery of usage data

• Vendors must now undergo usage audit to be compliant

• Revision 3 will be released next year, focus on Consortium reports, XML and SUSHI

• Relevance to this discussion is consistent usage data provides hope of ERMs to offer usage consolidation

• Status: Released

SUSHI (NISO Z39.93)

• Standardized Usage Statistics Harvesting Initiative

• Automates harvesting of usage data using “Web 2.0” approach

• ERM/Usage consolidation, can automatically connect to and retrieve usage data from any content provider with a SUSHI server

• Advantages

- Completely automates usage harvesting from compliant content providers

- Saves hours upon hours of staff time

• Challenges

- Lack of consistent identifiers (not always possible to map the given usage to the correct resource in the ERM)

- Adoption

• Status: Released (Just approved by NISO Membership!)

ONIX SPS

• Serials Publications and Subscriptions

• Used for communicating information about subscription products

• Designed for communicating price catalogs

• Advantages

- Does allow for some financial data

- Allows for title lists to be included in packages

• Challenges

- Does not accommodate price breakdown by component of a package, just the package itself

• Status: Draft

ICEDIS / EDI

• A series of formats to communicate order and activation data

• Latest revision expands message to include IP addresses and other components appropriate for e-resources

• Current format built on fixed data model

• Work being considered to upgrade to XML

• Advantages

- Used by many publishers and agents and ILS systems

• Challenges

- Lack of XML limits interoperability options

• Web service approach cannot be used easily (needed for real-time exchange of data)

• Fixed format nature makes implementation expensive


ONIX SOH

• Serials Online Holdings

• Used for communicating holdings information about electronic resources

• Includes coverage, URLs, embargos, etc.

• Version 1.1 accommodates ONIX Coverage Statements

• Advantages

- Excellent for transfer of holdings from one knowledge base to the next

• Challenges

- Lack of consistent identifiers of vendors, packages and even titles limit interoperability opportunities


TRANSFER

• A working group formed to address the problems caused by transfer of titles between publishers

• A set of guidelines for publishers to follow

• Ensure libraries have continuous access

• Considering a central repository of “transferred” titles

• Status: Under development

ONIX PL (License Expression Working Group)

• An XML schema that allows the terms of a license to be exchanged in a machine readable form

• Work also being performed on a license editor

• One goal was to allow negotiation to take place by exchanging and editing a license

• Advantages

- Captures the terms of a license

• Challenges

- An “ONIX” license represents the agreement and does not necessarily map to elements in the ERMI license element

- Interpretation of the license still needed (An “implementation” of ONIX PL is being experimented with to communicate the ERMI interpretations”)

• Status: In development

SERU

• Shared E-Resource Understanding

• An alternative to a license when librarians and publishers agree a license is not necessary

• Documents expectations of behavior on part of publisher, libraries and their users

• Advantages

- Simplifies the acquisition of e-resources

- Eliminates delays and complications by avoiding license negotiation (and approval)

• Challenges

- Will not fit every deal

- Does not explicitly “grant” every right a library may want

• Status: In trial through end of 2007

ERMI-2 ILS Acquisitions and ERM Interoperability

• Allow for the exchange of a core set of financial data between the ERM and the ILS

• Facilitate collection analysis by providing data for Cost-per-Use calculations

• Advantages

- Automate harvesting of data for collection analysis

• Challenges

- Identifiers

- Cost allocation for packages

• Status: Beginning stages

Summary

• An ERM is intended to be a single site to access all there is to know about an e-resource

• As such, the data needs are varied and complex

• DLF/ERMI data dictionary lists 315+ data elements and 25+ entities

• The data comes from many sources

- Providers, agents, knowledge base vendors, consortia

• It is unlikely that one source will supply all data

• Some automated feeds exist today and many more are possible

• Standards are key to interoperability and smooth data exchange

SUSHI

Thank you!

Oliver Pesch

[email protected]