Digital Scholarship Working Group: Difference between revisions

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The DLF Digital Scholarship Working Group (DLFds) is a community of practice focused on implementing research data and digital scholarship services. The group focuses on shared skill development, peer mentorship, networking, and collaboration. DLFds aims to create a self-reliant, mutually supportive community: a network of institutions and individuals engaged in continuous learning about research data management, digital scholarship, and research support.
The DLF Data and Digital Scholarship Working Group (DLFdds) is a community of practice focused on implementing research data and digital scholarship services. The group focuses on shared skill development, peer mentorship, networking, and collaboration. DLFdds aims to create a self-reliant, mutually supportive community: a network of institutions and individuals engaged in continuous learning about research data management, digital scholarship, and research support.
 
== History of the group ==
The DLF Digital Scholarship Working Group formed at the 2017 Forum in Pittsburgh to provide a community within DLF for those working in digital scholarship broadly or digital humanities specifically and sharing the charge of supporting digital research projects, coordinating community efforts, developing programs, teaching and training, and building partnerships on our campuses. In 2020, the group transitioned to its current mutual aid model for learning and skills development in research data and digital scholarship.


== Get Involved ==
== Get Involved ==
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=== Lead a session ===
=== Lead a session ===
DLFds aims to support teaching and learning from each other. Please reach out if you would like to lead an activity on a topic of interest.  
DLFds aims to support teaching and learning from each other. Please reach out if you would like to lead an activity on a topic of interest.  
=== Participate in Peer Mentoring and Problem Solving Consultations ===
Consultations are working sessions that give consultees a chance to work through an in-depth, peer conversation to solve a local data services or digital scholarship question. Consultants are peers and associated experts (e.g. CLIR/DLF postdoctoral fellows, former E-Research Network participants, DLF members). Consultations are flexible and customized according to consultee needs.


=== Digital Scholarship Reading List ===
=== Digital Scholarship Reading List ===
The [https://www.zotero.org/groups/2248590/dlf_digital_scholarship_working_group? Digital Scholarship reading list] on Zotero is curated by members of the DSWG. If you're interested in becoming a contributor, please contact [http://mailto:jhogan@auctr.edu Josh Hogan].
The [https://www.zotero.org/groups/2248590/dlf_digital_scholarship_working_group? Digital Scholarship reading list] on Zotero is curated by members of the DSWG. If you're interested in becoming a contributor, please contact [http://mailto:jhogan@auctr.edu Josh Hogan].


== Previous Projects ==
== History and Previous Projects ==
 
=== History of the group ===
The DLF Digital Scholarship Working Group formed at the 2017 Forum in Pittsburgh to provide a community within DLF for those working in digital scholarship broadly or digital humanities specifically and sharing the charge of supporting digital research projects, coordinating community efforts, developing programs, teaching and training, and building partnerships on our campuses. In 2020, the group transitioned to its current model for learning and skills development in research data and digital scholarship. The current version of the group uses a mutual aid model to offer peer leaders and the group to create topics of interest for the community. It is an evolution of the eResearch Network, a program that DLF ran for many years.


=== #DLFds Twitter Chats===
=== #DLFds Twitter Chats ===
Twitter chats provide a forum for discussing specific topics of interest proposed by members of our group. Members may propose a topic by posting on the [https://groups.google.com/forum/?hl=en#!forum/dlf-dswg Google Group] or review previous chats [[DSWG Twitter Chats|here]].
Twitter chats provide a forum for discussing specific topics of interest proposed by members of our group. Members may propose a topic by posting on the [https://groups.google.com/forum/?hl=en#!forum/dlf-dswg Google Group] or review previous chats [[DSWG Twitter Chats|here]].



Latest revision as of 14:38, 18 September 2020

The DLF Data and Digital Scholarship Working Group (DLFdds) is a community of practice focused on implementing research data and digital scholarship services. The group focuses on shared skill development, peer mentorship, networking, and collaboration. DLFdds aims to create a self-reliant, mutually supportive community: a network of institutions and individuals engaged in continuous learning about research data management, digital scholarship, and research support.

Get Involved

Google Group

The Google Group serves as a forum for continued and expanded conversations, planning, and tip-sharing. Each month, a guest moderator drives conversations on a specific topic of their choosing. The group is open to anyone interested in digital scholarship and digital humanities work in libraries. Join here.

Lead a session

DLFds aims to support teaching and learning from each other. Please reach out if you would like to lead an activity on a topic of interest.

Participate in Peer Mentoring and Problem Solving Consultations

Consultations are working sessions that give consultees a chance to work through an in-depth, peer conversation to solve a local data services or digital scholarship question. Consultants are peers and associated experts (e.g. CLIR/DLF postdoctoral fellows, former E-Research Network participants, DLF members). Consultations are flexible and customized according to consultee needs.

Digital Scholarship Reading List

The Digital Scholarship reading list on Zotero is curated by members of the DSWG. If you're interested in becoming a contributor, please contact Josh Hogan.

History and Previous Projects

History of the group

The DLF Digital Scholarship Working Group formed at the 2017 Forum in Pittsburgh to provide a community within DLF for those working in digital scholarship broadly or digital humanities specifically and sharing the charge of supporting digital research projects, coordinating community efforts, developing programs, teaching and training, and building partnerships on our campuses. In 2020, the group transitioned to its current model for learning and skills development in research data and digital scholarship. The current version of the group uses a mutual aid model to offer peer leaders and the group to create topics of interest for the community. It is an evolution of the eResearch Network, a program that DLF ran for many years.

#DLFds Twitter Chats

Twitter chats provide a forum for discussing specific topics of interest proposed by members of our group. Members may propose a topic by posting on the Google Group or review previous chats here.

DLFxDHSI 2018

DLFxDHSI was a one-day unconference—a grassroots, conversation-based event without predetermined presentations—on the theme of digital libraries, digital humanities, and social justice, hosted by the Digital Library Federation in partnership with the Digital Humanities Summer Institute (DHSI) in Victoria, BC, June 8-9, 2018. The event began on Friday with DLF Executive Director Bethany Nowviskie's DHSI Institute Lecture "Reconstitute the World: Machine Reading Archives of Mass Extinction" and a joint DLF/DHSI poster/digital demo session and reception. The highly collaborative and interactive DLFxDHSI Unconference ran throughout the day on Saturday. Find the shared notes for unconference sessions here.

Digital Scholarship in Libraries

At the 2018 DLF Forum breakfast session, DSWG began answering the question "What does your Digital Scholarship environment look like?," collecting data from members about job titles, unit names, team members, contingent positions, reporting lines, main issues, etc. Additions and reuses of the open access, crowdsourced dataset are welcomed.