Privacy-sensitive Records: Crowdsourcing for Digital Scholarship

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Presentation transcript:

Privacy-sensitive Records: Crowdsourcing for Digital Scholarship Unmil P. Karadkar, Nitin Verma, Lorrie Dong, Pat Galloway, Victor Obaseki*, King Davis School of Information, *IUPRA The University of Texas at Austin

Central Lunatic Asylum for the Colored Insane 1870-ish to present

Extensive Records Administrative Legislative Medical Library Board meeting minutes Reports to Governor Finances, Insurance Legislative Hospital creation Appropriations Medical Library

Hospital life Management Construction Newspaper clippings Events Newsletters Photographs Management Construction Blueprints Newspaper clippings

Patient Records Admission, readmission Treatment Ward books Discharge, furloughs Death, burial

Preparation Activities Stabilization Finding aid Inventory Physical records Digital master copies (HDD) Color, 400 dpi, ~10T, 12 hard drives Support National Association of State Mental Health Program Directors Substance Abuse and Mental Health Services Administration

Phone a friend Scholars Archivists Virginia AG’s Office Mental health, History, Law, Information Archivists State Library of Virginia Virginia AG’s Office Medical Director, CSH Dinwiddie County Historical Society (patient families)

Policy comparison Digital Preservation Access to Stakeholders

Model for the past and future

Outcomes Digital records System Dark Archive Digital Library Workflows Model Concept Model Publication Community Archive Staff Scholars, families, social workers, policy makers

Survey of State Archives Archive Staff (30) Minimal resource availability Archivematica+ArchiveSpace

Survey of State Medical Statutes Reading of statutes + Questionnaire California and Oregon are most permissive Florida and Texas are most conservative HB300

Temporary storage (server) Archival Workflow Digital master copies (HDD) Temporary storage (server) Inventory Assess completeness Finding aid Assess suitability for automated processing Physical records Generate unique filenames Transfer files Archive ingest folders Normalize filenames

Archival Workflow Archive ingest folders Metadata profiles Metadata Descriptive Metadata Technical Metadata generation scripts (T,D, Ad, P, C, Ac) Archivematica Administrative SIP Preservation Fedora Compliance Dark Archive Access

Complexity in Text Recognition

Identification of ‘Textual Units’

Handwritten Records Access Workflow MongoDB Text, user, quality data Images, identifiers Panoptes API

Ongoing work Enhance textual unit identification algorithms Pre-filter textual units before crowdsourcing Create the dark archive (schema and workflow)

Unmil P. Karadkar unmil@ischool.utexas.edu Acknowledgements National Association of State Mental Health Program Directors Substance Abuse and Mental Health Services Administration Contact Unmil P. Karadkar unmil@ischool.utexas.edu http://www.coloredinsaneasylums.org