About

The Journal of Slavery and Data Preservation is a digital academic journal that publishes original, peer-reviewed datasets about the lives of enslaved Africans and their descendants drawn from documents produced from the fifteenth to the early twentieth-centuries. The Journal of Slavery and Data Preservation builds from and expands upon the pioneering digital scholarship on the transatlantic slave trade. As such, the Journal of Slavery and Data Preservation elevates curated data to first-class publication status, providing scholarly review, recognition, and credit to those who undertake the intellectual work involved in generating, contextualizing, standardizing, and describing digital records related to historical bondage and freedom in Africa and its diaspora.

The Journal of Slavery and Data Preservation works in conjunction with Enslaved: Peoples of the Historical Slave Trade (Enslaved) to make the data contributed discoverable and interactive and to establish a sustainable scholarly repository for digital projects concerned with the history of African slavery. The Journal of Slavery and Data Preservation focuses mainly on publishing peer-reviewed datasets and editorial reviews of projects and datasets while Enslaved acts as an interactive, searchable repository for digital data. All datasets published by the Journal of Slavery and Data Preservation will be included on Enslaved.

Peer-Reviewed Submissions

Peer review for the Journal of Slavery and Data Preservation is an academically rigorous process of scholarly digital publication overseen by members of the editorial board, working in conjunction with invited experts. Within higher education, accepted peer-reviewed publications are suitable for annual and merit reviews as well as promotion and tenure. Peer-reviewed submissions may include data articles, project articles, or other relevant materials. Contributors asking for peer review are often seeking academic or professional credit for their submission. To contribute a peer reviewed item please indicate on the submission form that you would like peer review and that you accept the terms of this type of submission. Once you have done so, your submission will undergo the process indicated on the Contribute page of the Journal of Slavery and Data Preservation website.

Community Submissions

Community submission for the the Journal of Slavery and Data Preservation is intended for digital publication and public circulation without the full process of academic peer review. Community submissions can include data articles, project articles, or other relevant materials. Community submissions will receive editorial review, which means that submissions will be reviewed by the Journal's editor or editorial team and accepted or rejected based on the quality of the piece and its relevance to the Journal.

Journal of Slavery and Data Preservation's Editorial Board

The Journal of Slavery and Data Preservation's Editorial Board represents scholars whose research foci are on various regions of Africa and the African Diaspora where enslaved individuals and groups originated as well as areas where slaves were forcibly trafficked and (re)settled throughout the Atlantic and Indian Ocean worlds. Members of the Journal of Slavery and Data Preservation Editorial Board include:

• Daryle Williams (University of Maryland), Editor and Board Chairperson
• Daniel Domingues (Rice University)
• Henry Louis Gates (Harvard University)
• Gwendolyn Midlo Hall (Rutgers University)
• Walter Hawthorne (Michigan State University)
• Marial Iglesias Utset (Harvard University)
• Paul LaChance (University of Ottawa)
• Sharon Leon (Michigan State University)
• Philip Misevich (St. John's University)
• Brian Mitchell (University of Arkansas, Little Rock)
• Nik Ribianszky (Queen's University Belfast)
• Assan Sarr (Ohio University)
• Ethan Watrall (Michigan State University)
• Kari Zimmerman (University of St. Thomas)

Enslaved Advisory Board

The Enslaved: Peoples of the Historical Slave Trade Advisory Board is made up of the original scholars of slavery who contributed to the development of Enslaved. Board members will recruit news contributors to submit datasets relevant to Enslaved. Members of the Enslaved Advisory Board include:

• Dean Rehberger (Michigan State University), Board Chairperson
• David Eltis (Emory University)
• Henry Louis Gates (Harvard University)
• Gwendolyn Midlo Hall (Rutgers University)
• Walter Hawthorne (Michigan State University)
• Paul LaChance (University of Ottawa)
• Henry Lovejoy (University of Colorado)
• Paul Lovejoy (York University)
• Jane Landers (Vanderbilt University)
• Sharon Leon (Michigan State University)
• Steven J. Niven (Harvard University)
• Keith McClelland (University College London)
• Ethan Watrall (Michigan State University)
• Daryle Williams (University of Maryland)

Sponsors

The Journal of Slavery and Data Preservation is grateful to The Andrew W. Mellon Foundation for its generous support. We would also like to express gratitude for funding originally provided by The National Endowment for the Humanities for Slave Biographies, a project that impacted the genesis of the Journal of Slavery and Data Preservation. Thank you to Michigan State University and the University of Maryland for ongoing institutional support.

Project Team

Active Team Members

Josh Christ, Development (2018-present)
Marisol Fila, Research Assistant (2020-present)
Catherine Foley, Project Management (2018-present)
Seila Gonzalez Estrecha, Head of Development (2018-present)
Briona Jones, Research Assistant (2020-present)
Alicia Sheill, Project Management (2018-present)
Duncan Tarr, Research Assistant (2018-present)
Austin Truchan, Design (2018-present)

Former Team Members

Kylene Cave, Research Assistant (2018-2020)
Dave Glovsky, Research Assistant (2018-2019)
Kim Hyeungsuk, Development (2019-2020)
Amy Kim, Development (2019-2020)
Drew Schineller, Development (2018-2020)
Liz Timbs, Research Assistant (2018-2019)

Collaborating Organizations

OCLC https://www.oclc.org/en/home.html
Data Semantics Lab (DaSe Lab) at Kansas State University https://daselab.cs.ksu.edu//