Using the meeting as an opportunity to learn something altogether new to me, I’ve started with exploring a vendor negotiation strategies session but eventually got bored and migrated to open data.
Vendor Negotiation Strategies
Speakers: N. Bernard (Buzzy) Basch, Elizabeth Lorbeer, Brad McCracken (Elsevier)
- You gotta ask questions – is the person you’re working with entitled to negotiate?
- Be honest — with vendors and with users
- Where does the magic 5% come from for vendor increases, regardless of inflation?
- Buzzy: the EBSCO report
- the demand for writing has increased dramatically in the last 10 years
- so much of the information purchased doesn’t get used
- Brad: Multi-year agreement deals
- Elizabeth: She’s argued for different percentages, even for 0% for some years
- Buzzy: the EBSCO report
- Elizabeth: Tends to work with 3-5 budget models
Open Data Initiatives and Trends
- UCSF data workshop series – Megan Laurance
- Research Data Repository Landscape & Ecosystem
- Why Share Data?
- Why reuse public datasets? Use Cases!
- Deep dive on one data repository
- 45 min data reuse exercises
- focus on research workflow, not data mgmt workflow
- remember to take advantage of a captive audience – before, during, after the workshop — more content/exposure info
- Attendance outcomes: Postdocs biggest groups, faculty the smallest. Faculty, although smallest in number, provided greatest exposure
- End session feedback identified learned items such as Awareness, Hands-on Practice, and Links to Resources
- Working to partner with postdocs to have them do some trainings in the future, also partner with others in the UC system
Data, Libraries, and the 1K Challenge – Jackie Wirz et al.
- What would you do with $1k that would improve research communication and NOT build another tool? One-on-one training
- Workshops with the library, workshops with the researchers, and individual consultations
- Data means many things to many people — great example of tomayto/tomahto
- Working with IR and ScholComm Lib
- Did map of library skills to research cycle
- no one had a clue about basic data literacy, no idea of metadata, and no thought given to workflow –> aka very basic concepts is more where we are starting
- went back to figure out how to get grad students to attend the workshop
- motivating phrases sourced by grad students and actually attracted grad students to attend a data mgmt workshop: helps PIs and researchers, make it easier to get to graduation, easily reproducible data
- people see the same data differently
- detailed means different things
- no one sees metadata
- file mgmt is difficult — only 1 group saved the file
- workflow varies dramatically – had no idea that workflow was unique to them