1. The document discusses the design of a metadata scheme for describing data that is at risk of being lost, unused, or destroyed. 2. It outlines the major questions and principles that informed the design, including what essential metadata is needed to aid in data rescue efforts across scientific disciplines. 3. The proposed metadata scheme is described which includes elements like research area, physical form of data, content and context, current holder, dates, and risk level. A case study testing the scheme is also summarized.

1. Metadata for Data Rescue and Data at Risk William L. Anderson, John L. Faundeen, Jane Greenberg, Fraser Taylor PV2011, Toulouse, 17 November 2011 Presented by Nico Carver In collaboration with the DARi SILS Student Learning Circle

3. Major Questions informing Research Where is at-risk data? How are scientists using historic data? How do we define at-risk? “ 8 inch floppy” Retrieved from: http://johnkingworld.com/aplus/images/storage-8inch-floppy.jpg How do others define at-risk? What must be done to rescue data-at-risk?

4. Major Question informing Scheme Design What is essential metadata for describing data-at-risk and aiding in data rescue?

5. Metadata requirements • Be applicable across a range of disciplines and scientific research areas. • Sufficiently support the data rescue mission.

6. Functions of the Inventory Function Initial Metadata Properties Describe data of scientific value that is at-risk of being lost, unused, or destroyed. 1. Science area 2. Nature of data 3. Date or date-span 4. Location of original 5. Present location Act as a starting point for the data rescue mission. 6. Expected future 7. Risk level

8. Metadata Frameworks Useful for Data-at-Risk U.S.Geological Service: “Create a Rescue Request”, URL: http://eros.usgs.gov/government/archive_rescue/archive_request.php

9. Metadata Frameworks Useful for Data-at-Risk “ Growing the Vocabuary” http://dublincore.org/resources/training/frd_20091217/Tutorial_FRD_baker-1.pdf

10. Metadata Frameworks Useful for Data-at-Risk “ The PREMIS Data Dictionary” http://www.loc.gov/standards/premis/v2/premis-dd-2-1.pdf

11. Data-at-Risk Inventory (DARI) Metadata Scheme: guiding principles • Simple • Broadly applicable • Extensible

12. DARI Metadata Scheme (current) DARTG DARI Metadata, Version 1.0 Metadata Element Name Element Description Research Area(s) The domains represented by DARTG experts and the more general category of “Other”. Title The name associated with the collection. Physical form of the data Paper, photograph, specimen, record book, magnetic tape, etc. Content and context of the data History, topic, etc. -- if known Name of current holder Institution, organization or individual. Dates associated with data Time period when data were collected. Size Extent, volume, size. Data condition Stable, deteriorating, etc. Risk level Poor storage conditions, limited storage time, etc. Known access and restrictions Public domain, private collection, etc. Notes Any additional information. Contact information Address or other contact information for the institution, organization or individual.

13. Case Study: introduction

14. Case Study: implementation

18. Submit a description: http://ibiblio.org/data-at-risk/contribution