Introduction to ARTstor and Creator-Side Relationships

1. Organizational Relationships and Shaping the Digital Resource July 21, 2010 Johanna Bauman, Senior Production Manager, ARTstor Introduction to ARTstor and Creator-Side Relationships

2. What is the ARTstor Digital Library? • Subscription-based digital library of over one million images in the areas of art, architecture, the humanities, and social sciences with a set of tools to view, present, and manage images for research and pedagogical purposes. • Community-based aggregator of existing image content to which we are committed to providing persistent and consistent access for ARTstor subscribers.

3. Some ARTstor Statistics • First collection launched in summer 2004 • 1,200 subscribing institutions • Over 1,000,000 images • Over 170 unique collections • Over 700,000 images in the queue to be added to ARTstor • 150,000-200,000 images added per year

7. Metadata

9. Who Uses the ARTstor Digital Library? • Educators, scholars, and students at a variety of non-profit institutions including universities, colleges, museums, public libraries, and K-12 schools. • Historians of art and architecture and others engaged in the visual arts, as well as individuals in fields as diverse as American Studies, Anthropology, Asian Studies, Classical Studies, Literary Studies, Medieval Studies, Music, Religious Studies, and Renaissance Studies.

10. Who Contributes Images to the ARTstor Digital Library? • Museums • Image Archives, Libraries, Special Collections • Visual Resources Collections • Sponsored Professional Photographers • Scholar Photographers with Unique Content

11. Image Sources • Existing Digital Scans • Born Digital Photography • New Scans from Transparencies • New Scans from Prints

12. Image Specifications • Format:TIFF or Camera RAW (or JPEG if no TIFFs or Camera RAW are available) • Pixel Dimensions: Minimum of 3,000 on the long side (preferably 6,000 for born digital and scans from large format transparencies) • Color Space: Adobe RGB (converted to sRGB for online delivery) • Bit Depth:16 bit (converted to 8 bit for online delivery often 8 bit is acceptable) • File size: ranging from 36-200 megabytes • Resolution: variable 300-600 ppi (pixels per inch)

13. Metadata Formats • Excel spreadsheets – data created in Excel or exported from other database systems • XML exported from other database systems • FileMaker Pro databases • Access databases • Embedded metadata in custom XMP panels or that uses IPTC

14. Most Commonly Encountered Metadata Schemata • VRA Core – Visual Resources Collections • CDWA (Cataloging for the Description of Works of Art) – Museums (TMS) • MARC – Libraries • Dublin Core – All • Custom – Scholars, Photographers, etc.

15. Collection Building Process • Image Capture/Scanning • Acquisition and Processing • Image Quality Control • Metadata Creation (ARTstor requires item-level control) • Metadata Mapping and Enhancement • Legal Review • Ingest to ARTstor • Long-Term Storage

16. Challenges in the Collection Building Process • Image quality is inadequate or images have been over-processed • Image sizes are inconsistent or don’t meet the minimum requirements and it is hard to weed them out by size • Images and metadata don’t match (image and/or data orphans) • Metadata is inconsistent and cannot be easily mapped • Metadata is too minimal to be enhanced or needs additional cataloging

17. Data Enhancements to Facilitate Advanced Search

18. Strategies to Improve the “Hand off” from Contributors to the ARTstor Digital Library • Review sample images before agreements are signed and provide guidance from the outset • Provide documentation of best practices for image enhancement and metadata creation • Provide potential contributors with Excel templates for cataloging • Set contributors up with custom XMP panels for cataloging their images

19. ARTstor Digital Library Collections that have come with Embedded Metadata • Larry Qualls – Photographer creating born digital images and cataloging them in Adobe Bridge using a custom panel • Christopher Roy – Scholar with existing digital content that needed to be cataloged • Milton Rogovin – Existing scanned photographs that needed to be cataloged

20. Embedded Metadata Challenges and Benefits

21. EMET – Embedded Metadata Extraction Tool • It is intended primarily to support the activities of archivists and librarians who received digital files with embedded metadata and need to extract data to upload to local systems • Extracts all XMP namespaces as well as EXIF fields targeted to meet NISO 739.87 standards that could be ingested into a PREMIS-based preservation system • Checks if files are corrupt • Checks for the presence of a custom panel and whether or not required fields have been filled in

22. EMET – Embedded Metadata Extraction Tool • Developed on the Adobe Air platform, which is available for download for free • Currently in QA • Will be available for free download from the ARTstor website and as an open source application by the end of 2010

23. New Directions: Shared Shelf • Networked image management platform that will allow institutions to build, manage, access, and share visual content across their own campuses and integrate it with ARTstor images • Partnering with eight colleges and universities in developing the tool set and infrastructure (Harvard, Cornell, Yale, NYU, Colby College, Middlebury, University of Illinois, U of Miami) • Tools will include: image management, cataloging, content management, and delivery • Will facilitate sharing of collections with other institutions as well as providing content to the ARTstor Digital Library