Dissemination

AO. Jarvenpaa and Staples - deutero

AO: The analysts wonder what factors can be targeted to increase information sharing within organizations. They explicitly are writing this paper for those working within

DEUTERO: How is this analyst denoting and worrying about collaboration?

Querying Analyses of Collaboration and Approaches to Data

AO. Jarvenpaa and Staples - practices

AO: Motivation for the provider to be open and get involved is required for knowledge transfer. communication, which implies that one party is willing to give something or get...Read more

PRACTICES: What “best practices” does the analyst believe make for improved collaboration?

Querying Analyses of Collaboration and Approaches to Data

AO. research risks and harm reduction

AO: The analysts are worried about risks and harms involved in research (1)

AO: “Community peer review is premised on the idea that research is not

DEUTERO: How is this analyst denoting and worrying about collaboration?

Liboiron, Max, Alex Zahara, and Ignace Schoot. 2018. “Community Peer Review: A Method to Bring Consent and Self-Determination into the Sciences,” June.

Querying Analyses of Collaboration and Approaches to Data

Querying Collaboration in Dissemination

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AO. Jarvenpaa and Staples - nano

AO: The analysts note that information sharing embeds the notion of a “willingness to share”. They cite other literature that has found that “the more the person believes that

NANO: What traits does the analyst believe make a good collaborator? Is the analyst interested in how the collaboration stabilizes or how it fails or shifts?

Querying Analyses of Collaboration and Approaches to Data

AO. Griffin and Hayler - Data

AO: Analysts cite Hockey (2012) who uses the term “indirect collaboration” to describe the “reusability” of data and tools produced in the academy that find application and use

DATA: How does the analyst point to the data practices in the collaboration? Or to the data produced about the collaboration? Where does that data travel?

Griffin, Gabriele, and Matt Steven Hayler. 2018. “Collaboration in Digital Humanities Research – Persisting Silences.” Digital Humanities Quarterly 012 (1).

Querying Analyses of Collaboration and Approaches to Data

AO: Citing Star, Kenner holds that the technical infrastructure and human expertises (the “standards, wires, and settings”) need to be understood to understand the “aesthetics, justice, and...Read more

DISCURSIVE RISKS: What are the epistemic assumptions of the analyst of collaboration?

Kenner, Ali. “Designing Digital Infrastructure: Four Considerations for Scholarly Publishing Projects.” Cultural Anthropology 29, no. 2 (May 19, 2014): 264–87.

Querying Analyses of Collaboration and Approaches to Data

AO. digital humanities

AO: digital humanities; labor of publishingRead more

META: What discourses does the analyst consider/leverage to characterize/theorize collaboration at this research stage? (How) are histories and contextual factors pointed to as shaping the collaborations described here at this research stage?

Kenner, Ali. “Designing Digital Infrastructure: Four Considerations for Scholarly Publishing Projects.” Cultural Anthropology 29, no. 2 (May 19, 2014): 264–87.

Querying Analyses of Collaboration and Approaches to Data

AO. political economy of scholarly publishing.

AO: “The increase in open-access journal–university library partnerships (such as in the case of ShareCA and CA’s move to place OJS at Duke Libraries) is a crucial step towards...Read more

MACRO: (How) are economic and legal infrastructures said to shape, enable and constrain collaboration at this stage of the research process? What incentives and benefits are said to be part of collaboration at this stage of the research process?

Kenner, Ali. “Designing Digital Infrastructure: Four Considerations for Scholarly Publishing Projects.” Cultural Anthropology 29, no. 2 (May 19, 2014): 264–87.

Querying Analyses of Collaboration and Approaches to Data

AO. Where are the material data infrastructures for community ownership of data?

AO: The analysts are very strong at the nano, meta, macro levels. They are largely missing an eco level of analysis (at least as expressed in this genre which was targeting natural...Read more

DISCURSIVE RISKS: What are the epistemic assumptions of the analyst of collaboration?

Liboiron, Max, Alex Zahara, and Ignace Schoot. 2018. “Community Peer Review: A Method to Bring Consent and Self-Determination into the Sciences,” June.

Querying Analyses of Collaboration and Approaches to Data

AO. Griffin and Hayler - Practices

AO: Analysts note that in crossdisciplinary collaborations, individuals experience their alterity and both sides’ work is defamiliarized and out of that emerges a need

PRACTICES: What “best practices” does the analyst believe make for improved collaboration?

Griffin, Gabriele, and Matt Steven Hayler. 2018. “Collaboration in Digital Humanities Research – Persisting Silences.” Digital Humanities Quarterly 012 (1).

Querying Analyses of Collaboration and Approaches to Data

AO. iterative and open participation and discussion.

AO: iterative discussion; Kenner holds that “open participation in academic culture should be principles that guide the design of digital infrastructure” (284)Read more

NANO: What traits does the analyst believe make a good collaborator? Is the analyst interested in how the collaboration stabilizes or how it fails or shifts?

Kenner, Ali. “Designing Digital Infrastructure: Four Considerations for Scholarly Publishing Projects.” Cultural Anthropology 29, no. 2 (May 19, 2014): 264–87.

Querying Analyses of Collaboration and Approaches to Data

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