Tool: Digital Mappa

Written by Martin Foys and Maxwell Gray

What is Digital Mappa?

Digital Mappa 2.0 (DM) is an open-source, collaborative digital humanities platform for public or private workspaces, projects and scholarly publications. The platform software can be installed on a local or cloud server, and collaborators can highlight, annotate and link collections of digital texts and local, online and/or IIIF images through an array of easy to use tools. The platform development is directed by UW-Madison Professor of English Martin Foys, and there is a UW instance of it run under the UW Center for the History of Print and Digital Culture.

What Can DM Do For You?

The premise of DM is simple: if you have a collection of digital images and texts, then you should be able to develop a project where you can identify specific moments on these images and texts, annotate them as much as you want, link them together, generate searchable text content, collaborate with your colleagues, and publish your work online at a durable URL for others to see and share. DM 2.0 gives you the environment to make this happen, and users can create basic or sophisticated individual or collaborative projects with no coding ability whatsoever. Users can add images to DM projects locally or remotely through remote urls or IIIF image protocols. A search feature compiles all annotation text in a project into a searchable resource, and projects can be set to private, group or public access.

DM 2.0 was initially developed for deployment on the Heroku cloud-server platform, where installation and administration is straightforward for server administrators, after which developing individual projects requires no specific IT expertise. DM is now also available for local server installation and administration.


Look to Open Source Options for GIS Software

Topographic map of a hiking trail made using QGIS

Creating maps as a way to communicate data is becoming increasingly popular across and integrated into a broader set of academic disciplines. In the humanities, mapping is often used to create visual and interactive objects of  scholarship from research in subjects such as history or literature; in public health, maps can be used to show the spread or prevalence of disease. Certain mapping and geospatial data management software is prohibitively expensive, but some equally powerful open-source options have emerged, making the incorporation of mapping into research workflows more easily accessible and available. Continue reading to discover some of the most popular open-source options for geospatial data analysis and visualization. (more…)

Refresh Your Data Management Savvy This New Year

Happy New Year’s! The start of a new year and a new semester are as good a time as ever to evaluate your data management practices. Here are some reminders about data management best practices, groups on campus who can help you with managing your data, and some upcoming opportunities for you to sharpen your skills.


Tool: Scalar

What Is Scalar?

Scalar is a free and open-source authoring and publishing platform that allows users to integrate multiple media types into born-digital scholarly works. Built by the Alliance for Networking Visual Culture, Scalar allows users to create publications that would be the length of an essay, article, or even a book. Scalar’s flexible content management structure means that it allows users to adapt its features for their own needs.


OpenCitations Enhances Citation Data with COCI

OpenCitations has been working toward enhancing citations to make citation data more easily discoverable and retrievable. In July, OpenCitations released COCI, the OpenCitations Index of Crossref open DOI-to-DOI references. The initial release of COCI created first-class data entities out of citation information in order to index Crossref and to make this information machine-readable. The July release also included the OpenCitations Corpus (OCC), a repository of downloadable bibliographic and citation data. OpenCitations has been building upon the data model that they created, and released the newest version of COCI this week: they have extended the data model, and the index now contains almost 450 million citation links between DOIs from Crossref reference data.