Bridging the Research Data Divide: rethinking long-term value and access for historical and contemporary maternal, infant, and child research

Special Collections Processing

The collections that the Center for the History of Medicine are working with are primarily paper-based, and need to be processed according to field standards. This requires both hands-on work with the collections as well as the application of national descriptive standards to convey records content.
Processing is the arrangement, description, and housing of records to maximize their discoverability and use by researchers, while maintaining the organizational, functional, and operational circumstances surrounding how and when the records were created,  organized,  and used prior to being transferred or gifted to a repository. Processing at the Center entails four core activities: 1) planning; 2) physical processing; 3) description; and 4) promotion.
  1. Processing planning. This is the creation of a roadmap for our work with the records (“collection”) and what needs to be done to make the collection research-ready. Creating a good processing plan ensures the timely, cost-efficient opening of collections to researchers. Center processing plans are either authored in their entirety by the Head of Collections Services (HCS) or by a designated Processing Archivist in partnership with the HCS. A processing plan includes:
  1. Physical processing. This is the work Center staff performs to physically rehouse paper-based records and/ or create bit level electronic copies of born digital records. Related work includes transcribing titles off of original folders or digital media (such as floppy disks) and numbering the folders so that the contents are citable. Physical processing enables the Center to stabilize the records so that they will be available to many generations of researchers to come. During physical processing:
 
  1. Description. After physical control is established, the collection is described according to archival standards and best practices. Good description is at the heart of the discovery. Without investing in description, researchers may never know collections relevant to their work exist. Having undescribed collections also diminishes the value of costs associated with rehousing and storing collections in perpetuity. Processors centralize their descriptive information in a guide, or “finding aid” to help researchers determine whether or not the records are appropriate for their investigations. A finding aid includes a biography of the records creator or institutional history, a collection summary, subject access points to aid in the discovery process, individual descriptions of the groups of records found in the collection, and a list of all the folder titles in the collection. The guide is prepared using xml encoding software and is published in OASIS (http://oasis.lib.harvard.edu/oasis/deliver/advancedsearch?_collection=oasis), Harvard’s publicly accessible system for searching and browsing finding aids. Additionally,
  1. Promoting the opened collection. Once the collection is open to researchers, the Center uses a wide variety of web and social networking tools to promote newly opened collections and generate user interest. Promoting opened collections alerts our user communities to new resources that may benefit their work, connects us to other repositories with similar collections, and enables us to publicly acknowledge the financial gifts of our supporters. Tools include:
Additionally, the Center frequently digitizes selected items from collections to catalog for use on its Omeka site, OnView (http://collections.countway.harvard.edu/onview/). OnView hosts online exhibits created by the Center and offers item-level catalog records and images for photographs, museum objects, oral histories, video



 

Special Collections Processing Workflow

The following steps need to take place before description happens in Dataverse:All of this time-consuming and important traditional archival work is necessary to do before getting to the metadata description in Dataverse.


Project Dataverse Link:
Center for the History of Medicine Dataverse (Harvard)

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