Readings
- On a Collections as Data Imperative 1
- WHAT DO WE MEAN BY “COLLECTIONS AS DATA” (CAD)?2
- The Santa Barbara Statement on Collections as Data3
- Vancouver Statement on Collections As Data4
- A Checklist to Publish Collections as Data in GLAM Institutions5
- On the Books: Jim Crow and Algorithms of Resistance, a Collections as Data Case Study6
- From Digital Library to Open Datasets: Embracing a “Collections as Data”Framework7
- Transparency, provenance and collections as data8
- The “Collections as ML Data” checklist for machine learning and cultural heritage9
- Collections As Data: Preservation to Access to Use to Impact10
- Collections as Data : interdisciplinary experiments with KBR’s digitised historical newspapers : a Belgian case study11
- Collections as data in the context of visual AI12
- Community-owned infrastructure and collections as data praxis13
- Pushing the Public Art Network Database into the Current Digital Age: Collections as Data14
- Metadata for Collections as Data in a Multi-Institutional Digital Library15
- From collection search to collections as data16
- EDUCATING ABOUT THE PAST IN HOPES OF A MORE EQUITABLE FUTURE: Identifying, Building, and Using Collections as Data for Social Justice17
- Structural elements and spheres of expertise: Creating a healthy ecosystem for cultural data initiatives18
- Ethical Data Considerations for Engaging in Reparative Archival Practice19
Critical Visualization by
Call Number: QA76.9.I52 H35 2023ISBN: 9781350077232Publication Date: 2022-12-29Information may be beautiful, but our decisions about the data we choose to represent and how we represent it are never neutral. This insightful history traces how data visualization accompanied modern technologies of war, colonialism and the management of social issues of poverty, health and crime. The discussion is based around examples of visualization, from the ancient Andean information technology of the quipu to contemporary projects that show the fate of our rubbish and take a participatory approach to visualizing cities. This analysis places visualization in its theoretical and cultural contexts, and provides a critical framework for understanding the history of information design with new directions for contemporary practice.Algorithms of Oppression by
Call Number: ZA4230 .N63 2018ISBN: 9781479837243Publication Date: 2018-02-20A revealing look at how negative biases against women of color are embedded in search engine results and algorithms Run a Google search for "black girls"--what will you find? "Big Booty" and other sexually explicit terms are likely to come up as top search terms. But, if you type in "white girls," the results are radically different. The suggested porn sites and un-moderated discussions about "why black women are so sassy" or "why black women are so angry" presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem; Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, specifically women of color. Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is created online. As search engines and their related companies grow in importance--operating as a source for email, a major vehicle for primary and secondary school learning, and beyond--understanding and reversing these disquieting trends and discriminatory practices is of utmost importance. An original, surprising and, at times, disturbing account of bias on the internet, Algorithms of Oppression contributes to our understanding of how racism is created, maintained, and disseminated in the 21st century.Metadata for Digital Collections by Since it was first published, LIS students and professionals everywhere have relied on Miller's authoritative manual for clear instruction on the real-world practice of metadata design and creation. Now the author has given his text a top to bottom overhaul to bring it fully up to date, making it even easier for readers to acquire the knowledge and skills they need, whether they use the book on the job or in a classroom. By following this book's guidance, with its inclusion of numerous practical examples that clarify common application issues and challenges, readers will learn about the concept of metadata and its functions for digital collections, why it's essential to approach metadata specifically as data for machine processing, and how metadata can work in the rapidly developing Linked Data environment; know how to create high-quality resource descriptions using widely shared metadata standards, vocabularies, and elements commonly needed for digital collections; become thoroughly familiarized with Dublin Core (DC) through exploration of DCMI Metadata Terms, CONTENTdm best practices, and DC as Linked Data; discover what Linked Data is, how it is expressed in the Resource Description Framework (RDF), and how it works in relation to specific semantic models (typically called "ontologies") such as BIBFRAME, comprised of properties and classes with "domain" and "range" specifications; get to know the MODS and VRA Core metadata schemes, along with recent developments related to their use in a Linked Data setting; understand the nuts and bolts of designing and documenting a metadata scheme; and gain knowledge of vital metadata interoperability and quality issues, including how to identify and clean inconsistent, missing, and messy metadata using innovative tools such as OpenRefine.
ISBN: 9780838947487Publication Date: 2022-07-06
Guides and documentation
- The Programming Historian"...novice-friendly, peer-reviewed tutorials that help humanists learn a wide range of digital tools, techniques, and workflows to facilitate research and teaching."
- W3Schools Online Web TutorialsEasy-to-follow, step-by-step guides to learning different coding languages, including HTML, CSS, and JavaScript.