Guardienne of the Tomes

Integrating Digital Humanities Into the Web of Scholarship with SHARE: An Exploration of Requirements Joanne Paterson osf.io/pkvtu Today going to talk about SHARE, ways to use, integrating DH scholarship, emerging themes and initial thoughts. What is SHARE? Schema agnostic approach to aggregate diverse metadata. Community open source initiative. Scholars are doing various things, how can we bring all that together so we can see their body of work and things that are related? ARL initiative started in 2013. Aggregates metadata. Looks at research cycle and various outputs of research. To aggregate metadata, they put out a call to ask someone to help them build this, answered by Center for Open Science. (OSF - looks at research workflow, allows you to collaborate with others and share easily). OSF free and open project support, can work privately or publicly. SHARE - harvested datasets from wherever they're open, metadata about scholarly research - scholar's portal, figshare...

Making Choices About Your Data Digital Humanities Summer Institute #DHSI18 Day 3 (Afternoon) Paige Morgan and Yvonne Lam Article "Against Cleaning" Committing to giving certain answers when you are cleaning data. How do I make this material discoverable and allow it to intersect more clearly with discoveries being made in this field. You may feel like you need to tune your data so it gives specific answers. But the more you do is not to get project to spit out answers for people, but give answers that help people rethink.  What is the info I wan to surface for people, how do I get my data to surface that? [Much more concern for how *others* are going to use data here with the digital humanists that in my experience with social science, where we collect our data to answer our questions, then fin. Kudos to DH folks!] Expansion without growth - scalability Who is your audience? Who is relying on your workflow or the decisions you made that you can't explain? T...

UC DLFx 2018 Defining and Sustaining Digital Collection and Scholarship Services Zoe Borovsky UCLA), Mary Elings, Erik Mitchell (UCB), Laura Smart (UCI), Carl G. Stahmer (UCD), Stacey Reardon (UCB)  Dialogic open space: Panelists will introduce.  Framing questions What current use cases demonstrate a need for DS? Who are we missing? Demographics of folks we're serving? How are digital outputs changing our collection and preservation strategies and what changes do we need to make in the future? What additional or redeployed resources and labor will be required to provide necessary services? Are current and imagined services sustainable compared to traditional library services? https://ds.lib.ucdavis.edu/ucdlf has the questionnaire No one definition of digital scholarship, but seeing working with different groups on campus, but not sure how working best with that group. Is this question of expertise or infrastructure that we're providing? Different v...

UC DLFx 2018 Demystifying Data Curation -  Vessela Ensberg (UCD),  Emily Lin (UCM),  Ho Jung Yoo (UCSD),  Amy Never (UCB) Purpose of data curation: FAIR data principles--Findable, Accessible, Interoperable, Reusable. Qualities of data that make them valuable. Findable: DOI; Accessible: online, fixity-checked, backed-up---these are called Bit Curation (we depend on technology). Interoperability: file formats still active, can be open and read Reusability: metadata to put data in context for researchers to decide whether or not they can use it. This is curation for long term use. Curation for long term use: When: pre-ingest or post-ingest-- How: in depth (documentation happens down to each variable) or limited in scope. Tension between time, quality, and return on investment 4 models/case studies on how they approached curation in their experience, what skills are necessary, and what difficulty there is in providing those services. Case 1 Emily ...