Lessons Learned from HBS Dataverse Rollout Year
Discover valuable insights from the rollout year of HBS Dataverse, including the importance of data cleanup, linking datasets, thinking like an open access repository, and utilizing analytics to showcase impact. Learn how access to this dataset can impact research and benefit academics worldwide.
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HBS Dataverse: Lessons from Our Rollout Year Alex Caracuzzo acaracuzzo@hbs.edu Dataverse Community Meeting July 11, 2016 1
Lesson #1 Place responsibility for data clean- up with the researcher Lesson #2 Get the ball rolling: link existing datasets and mine journal websites TOP - https://cos.io/top (list of journals supporting open data) Lesson #3 - Think like an Open Access article repository 3
Lesson #3 - Think like an Open Access article repository Create links from OA to Dataverse records (and vice versa) 4
Lesson #3 - Think like an Open Access article repository Create links from OA to Dataverse records (and vice versa) Use analytics to show impact and reach 5
Lesson #3 - Think like an Open Access article repository Create links from OA to Dataverse records (and vice versa) Use analytics to show impact and reach Capture stories from Dataverse downloaders Please tell us a little about how you plan to use this dataset. How is access to this dataset impacting your research? We'd love to hear about it. 6
Lesson #3 - Think like an Open Access article repository Create links from OA to Dataverse records (and vice versa) Use analytics to show impact and reach Capture stories from Dataverse downloaders It would make a difference to my research, because in China we cannot get such kind of data (PhD student in China) It would make my research results unbiased (student in Turkey) 7
Next year Ramp-up recruitment and outreach Continue reporting/analytics Revamp our website Make data more discoverable Host and share licensed data 8
