Wikidata:WikiProject DH Tool Registry

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Wikiproject

 

Background

 

Data Model

 

How to Use

 

This WikiProject documents our take at an open, community-driven, and sustainable tool registry for the digital humanities. Our main goal here is to propose a basic data model for creating and enriching Wikidata items for software tools with a minimal description regarding their potential purpose for implementing a specific method broadly associated with the digital humanities and classified according to the Taxonomy of Digital Research Activities in the Humanities (TaDiRAH) (Borek et al. 2021) as well as referencing scholarly papers and projects which have employed and mentioned a specific tool.

In the section Data Model you will find a detailed description of the model. We see the basic data model as a starting point for building models with additional metadata, as we anticipate use cases where basic information is not enough. Adhering to the minimal requirements will ensure that items can be found with pre-built SPARQL queries aiming to return the entire tool registry or various subsets based on specific methods.

The section How to use contains further information on how to search and explore items which comply to the basic requirements, and how to create new items.

The section Background provides more context on the initial project, some information regarding tool registries in the digital humanities and a more in-depth argument for this particular concept of our open data approach.

If you think that any of the elements in the basic data model or in the workflows or regarding any other element of this WikiProject, need extension or can be simplified, please feel free to open a discussion. As the basic data model should make sure that basic requirements regarding the description of software tools in the digital humanities are met, the model can and should evolve over time according to your (and our) requirements and notions of a tool, while always remaining backwards-compatible.

Inspired by minimal computing principles, making, and the endings project this tool registry represents our communal contribution to the digital commons.

Sample items[edit]

Who is using this WikiProject[edit]

Related projects[edit]

  • DiRT, Bamboo, TAPoR 3.0, see (Dombrowski 2021; Grant et al. 2020)
  • SSH Open Marketplace: “discovery portal which pools and contextualises resources for Social Sciences and Humanities research communities: tools, services, training materials, datasets, publications and workflows”, maintained by DARIAH, CLARIN, CESSDA, includes TAPoR data, provides a web application and API.
  • fortext: curated collection of digital humanities tools, methods, workflows, with extensive documentation and tutorials for each item.
  • NFDI4culture: web application, no API, no data download.
  • Research Software Directory of the Netherlands eScience Center
  • Research Software Encyclopaedia, Research Software Engineer’s GitHub Organization, see (Sochat et al. 2022), highly automated flat-file database, Python library, broad scope (not specifically Digital Humanities)
  • Software Preservation Network, detailed metadata model for software description, best practice guide for software preservation and documentation for archival institutions.

Participants[edit]

[+] Add yourself to the list

The participants listed below can be notified using the following template in discussions:
{{Ping project|DH Tool Registry}}

Referenced works[edit]

Borek, Luise, Canan Hastik, Vera Khramova, Klaus Illmayer, and Jonathan D. Geiger. 2021. “Information Organization and Access in Digital Humanities: TaDiRAH Revised, Formalized and FAIR.” In Information Between Data and Knowledge, 321–32. Schriften Zur Informationswissenschaft 74. Glückstadt: Werner Hülsbusch. https://doi.org/doi.org/10.5283/epub.44951.


Dombrowski, Quinn. 2021. “The Directory Paradox.” In People, Practice, Power: Digital Humanities Outside the Center, edited by Anne B. McGrail, Angel David Nieves, and Siobhan Senier. Debates in the Digital Humanities. Minneapolis: University of Minnesota Press. https://dhdebates.gc.cuny.edu/read/people-practice-power/section/ca87ec4c-23a0-452d-8595-7cfd7e8d6f0c.


Grant, Kaitlyn, Quinn Dombrowski, Kamal Ranaweera, Omar Rodriguez-Arenas, Stéfan Sinclair, and Geoffrey Rockwell. 2020. “Absorbing DiRT: Tool Directories in the Digital Age.” Digital Studies / Le Champ Numérique 10 (1). https://doi.org/10.16995/dscn.325.


Sochat, Vanessa, Nicholas May, Ian Cosden, Carlos Martinez-Ortiz, and Sadie Bartholomew. 2022. “The Research Software Encyclopedia: A Community Framework to Define Research Software.” Journal of Open Research Software, March. https://doi.org/10.5334/jors.359.