We know that there has always been (and will always be) tons of data to collect, archive, store, organize, make sense of and well—manage. So it’s no wonder that librarians are on the leading edge of what to do with all of that “big data”. The presenters in the Global Data Sharing session discussed experiences with and solutions for their stakeholders’ data management concerns.
At MIT, a Research Data Science Working Group was formed to address data management issues. They published a guide and offered workshops as well as one on one consultation to researchers. A case study of a physiological data and software repository was presented. Advice and consultation is believed to be just as important as providing a specific solution to each data management problem.
The librarians at the NYC School of Medicine Health Sciences Library developed a course for post docs in order to introduce researchers to data management. The 90 minute course covers metadata standards, archiving, sharing, and creating a data management plan. When the librarians looked for video resources to help illustrate data management issues to their classes there was none to be found; so they created one. Take a look at the short video in three parts. It contains just right amount of humor and bemusement that librarians and patrons experience when sorting out big data. The lessons learned from their services are the importance of local data support and the provision of these services has expanded the role of data management librarians.
DataShare is a data management platform and a pilot collaboration between the UCSF Library, the UC Curation Center, CTSI and the California Digital Library. The product has a simple search and discovery interface and submitting content is easy with the new drag and drop tool. UCSF Librarians interviewed the faculty and staff regarding their data management needs and certain themes seemed to emerge. More systematic training was needed and there were concerns about long term storage and preservation. Some researchers questioned the value of sharing data and re-integrating data into new research. It soon became evident that an institution wide policy and guidance would be helpful to everyone. The beta site is up now and the next steps for the librarians include: marketing/outreach, system enhancements and user interviews. A business model is also needed to pay for data storage.