jonathan@researchcomputingteams.org
Parent categories: Strategy
Other tags: | Strategy: Working with Stakeholders | Strategy: Working with Decision Makers | Working With A Research Community: Digital Humanities |
Organic and Locally Sourced: Growing a Digital Humanities Lab with an Eye Towards Sustainability - Rebekah Cummings, David S. Roh, Elizabeth Callaway, Digital Humanities Quarterly A useful article on setting up a Digital Humanities “pop up” lab in the University of Utah’s Marriott Library, after an earlier attempt had failed. The story told here of learning from (and building on) previous attempts and using the lab not simply at a thing in and of itself but as a concrete thing for a nascent cross-campus effort...
Continue...Other tags: | Managing A Team: Data Teams | Strategy: Working with Stakeholders | Strategy: Working with Decision Makers |
Ten simple rules for starting (and sustaining) an academic data science initiative - Micaela S. Parker, Arlyn E. Burgess, Philip E. Bourne, PLOS Computational Biology Many research computing centres are trying to figure out how to launch or scale up a data science core facility or research institute. Creating anything new within an organization is a challenge, even when the winds are in your favour. Parker, Burgess, and Bourne offer some very sage advice on not just starting up a data science effort in particular,...
Continue...Other tags: | Becoming A Manager: Feedback |
9 Tips for Effectively Sharing Peer Feedback in the Workplace - Mara Carvello Worth comparing this to what we discussed earlier on feedback. Carvello councils use of on-judgmental language, and focus on the problem not the individual; those are consistent with talking about behaviour and impact. Be prepared to have a conversation - makes sense when talking with peers. We’ve talked in other issues about how the “feedback sandwich” approach is known not to work; the way to “cushion” negative feedback with positive feedback isn’t...
Continue...Coordination models - tools for getting groups to work well together - Jade Rubick Rubick is slowly writing a pretty impressive compendium of coordination models within but also across that he’s seen work, how to make them work, and their tradeoffs. Several of them are extremely relevant to research computing and data; Service provider Consultant (not yet written) Liaison Embedded Community of practice There was a lot of discussion early on in the newsletter about centralized vs embedded RSE or data science teams; it’s nice...
Continue...Other tags: | Managing A Team: Data Teams | Managing A Team: Team organization |
Collaborating on Research Data Support - Christina Maimone This is a short and useful “what worked well/what was challenging” overview of three initiatives at Northwestern where Research Computing and the Libraries collaborated on research data support. Both entities have a lot of experience and a lot of resources around research data management, and have greater or lesser amounts of reach with different parts of the University community. Even though your research computing team and your library may be quite different, I think there’ll be a...
Continue...Dirty Escalations: Making Frenemies and Pissing Off People - Chase Seibert So Manager-Tools would tell us, correctly, that escalation is a very broad term that means any kind of communication of increased urgency/importance - bringing a due-date of a deliverable earlier, going from an email to a phone call or a quick video chat, etc. That is all true, and “escalation” is also widely used to mean specifically raising an issue up the organizational ladder, and until we have a term specifically for that kind...
Continue...Communication is not Collaboration - Matt Schellhas Schellhas decries the tendency to assume that if groups aren’t working together, it’s because of a lack of communication, and so the solution is some joint meeting to keep each other informed (this can go even worse, and become… shudder … joint social activities). But communicate is not collaboration, and so more communication doesn’t necessarily lead to more collaboration. To get two teams working together, Schellhas says, is not significantly different than getting one team working together: Build...
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