Next generation data services at the Marriott Library
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My interview slides for my Research Data Management Librarian position.
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Next generation data services at the Marriott Library
- 1. Next generation data services at the Marriott Library Rebekah Cummings J.Willard Marriott Library March 5, 2014
- 2. Two questions to tackle today: How do you see the data needs of the social sciences and humanities changing and evolving over the next five years? How do you imagine libraries being involved in this changing landscape and how might we partner with campus faculty around their data needs?
- 3. Before I came to Utah…
- 4. UCLA Social Science Data Archive Provided 1:1 consultations to research teams Conducted data management workshops Worked closely with the UCLA Civil Rights Project to create a preservation strategy for their publication and datasets.
- 6. “The active and ongoing management of data through its lifecycle of interest and usefulness to scholarship, science, and education. Data curation activities enable data discovery and retrieval, maintain its quality, add value, and provide for reuse over time.” – University of Illinois’ Graduate School of Library and Information Science What is data curation?
- 7. Data Lifecycle PLANNING Courtesy of the UK Data Archive http://www.data- archive.ac.uk/create- manage/life-cycle
- 8. Social Science Data Opinion polls Surveys Interviews Government records Social/ Mass Media Laboratory experiments Field experiments Census records Voting records Economic indicators
- 9. Humanities Data Newspapers Photographs Letters Diaries Books, articles Birth, death, marriage records Church records Court records Yearbooks Maps
- 10. Why libraries? Opportunity to expand our services in ways that can benefit faculty. Opportunity to build stronger relationships between libraries and research communities. We can continue to play a role in the preserving and making available the scholarly record.
- 11. We have the skills! Organizing information Describing information (Metadata) Grant writing Copyright and licensing Digital preservation Open access Instructional experience Reference work Professional ethics
- 12. Our faculty and students have spoken In response to the question “What services should be added at the Marriott Library?” on the Strategic Planning survey: 40% of users responded by saying they need more assistance with research data. 60% of library employees responded by saying we should provide more assistance with research data. Key recommendation from the external library consultants was to develop more support for research data management.
- 13. Data Policies and Funder Requirements 2011 – National Science Foundation Data Management Plan requirement 2013 –White House Public Access to Federally Funded Research memo 2014 – NEH Office of Digital Humanities Data Management Plan requirement
- 14. Journal Requirements “A condition of publication in a Nature journal is that authors are required to make materials, data, code, and associated protocols promptly available to readers without qualification.” – Nature’s open data policy
- 15. Challenges Data is unlike materials we’ve worked with in the past Needs context to be understandable Varies greatly in size and complexity Version control Ethical considerations Most data are born-digital objects
- 16. Digital Libraries vs. Data Curation PDF PDF PDF PDF PDF PDF PDF TIFF WAV TIFF TIFF TIFF TIFF TIFF TXT PPT SPSS XLSX TIFF DOC GPSS PY TIFF CSV WAV
- 17. Most researchers: Were not trained in data management Don’t know how to write a data management plan Don’t know how to create proper metadata Have concerns about sharing their data Aren’t convinced they really have to share their data Adapted from http://www.slideshare.net/carlystrasser/iassist20120608
- 19. The last five years (2010 – 2015), cont. New policies and funder requirements Development of best practices and standards Technical infrastructure Growing community of research data managers Case studies as models for excellence Tools for helping researchers
- 20. Question #1 How do you see the data needs of the social sciences and humanities changing and evolving over the next five years?
- 21. Almost everyone is working digitally now Researchers Researchers Using Technology 1990 2020 Researchers Researchers Using Technology
- 22. Different methods of data collection
- 23. Larger datasets HathiTrust Research Center 10.5 million volumes 3.6 billion pages 1890-present Discover patterns over time that were previously invisible Twitter Archive Acquired by Library of CongressApril, 2010 As of January 2013, 170 billion tweets Available to researchers 6 months after posting
- 25. Digital Public Library of America
- 26. Print toVisual 1993 2013 – 2 million pageviews
- 27. Changing metrics Altmetrics Easier to count use than citations “Impact” means something different than it did ten years ago.
- 28. Increased awareness of importance around data sharing Data management plan requirements Journal requirements White House directive Trends towards transparency and openness.
- 29. Johns Hopkins Data Stack Model
- 30. With all this in mind, remember… NONE OF USWERE TRAINED FORTHIS!!!
- 31. Question #2 How do you imagine libraries being involved in this changing landscape and how might we partner with campus faculty around their data needs?
- 32. Research Data Services Education andTraining Data Management Plan help Data Consultation Metadata Assistance Analysis andVisualization Tools (Digital Scholarship Lab) Long-term stewardship/ preservation Repository services (Uspace) Mint DOIs and ARKs Catalog Datasets Data reference and acquisition
- 33. Research Data Curation pilot projects University of Minnesota 8 months (May – Dec 2013) Call for pilot datasets among the faculty Outputs Data curation workflow Five pilot datasets Summary report Faculty engagement
- 35. Data Repository for U of Minnesota
- 37. Embedded librarianship Librarians written into grant proposals as data managers. Cost is underwritten in the grant Option for Sustainability Allows us to get involved at the beginning and throughout the entire data lifecycle!
- 38. The UCLA Civil Rights Project Started as part of a class project High profile, mostly quantitative, social science data Two P.I.s and many graduate students in a distributed research team.
- 39. Website to eScholarship Moved 72 CRP publications to eScholarship Structured metadata Open access scholarly publishing for the UC Community Some preservation strategies
- 40. UCLA CRP Dataverse Secured datasets and codebooks from CRP researchers Added four datasets to Dataverse Converted files to non-proprietary format Added structured metadata Added data citation and persistent identifier Linked to related publications Worked out data governance with researchers Created workflow with research team for data and publication archiving
- 41. UCLA Civil Rights Project Dataverse
- 42. Future concerns Developing a cost model to support the ongoing expense of curating research data. Longevity of file formats Data governance issues Developing library staff to support data curation activities
- 43. Questions? Image courtesy of the US Archives via Flickr/The Commons
Notes de l'éditeur
- Most of you probably only know me as the Assistant Director for the Mountain West Digital Library. But I did have a former life before moving to Utah and for two years that life primarily revolved around data. For one year I was on an NSF-funded grant studying the data practices of scientists. We studied scientists as they collected and analyzed their research data and interviewed them about their data practices. This was Katrina Edwards, she was a P.I. in one of the labs we were studying. Katrina was the one who gave us access to the deep sea biosphere labs because… [tell IODP cruise ship stories]
- I also did a one-year internship at the UCLA Social Science Data Archive where I received valuable hands-on experience working with researchers on their data. I had a chance to conduct 1:1 consultations with research teams, give workshops at UCLA on data management, and even worked closely with the UCLA Civil Rights Project to archive their publications and datasets.
- Data curation tends to make people nervous. For many of us this was a concept that didn’t exist in library school. We’ve heard the term floating around for awhile but may not be sure exactly what it even means. The skills it takes to be be a library that excels in data curation already exist here. Everything that we are talking about is an evolving discussion.
- Before we tackle the three questions, I want to answer some of the basic questions you may have about data curation. The most obvious question… what is it?
- Data curation is often described as a set of activities. Often useful to imagine data curation as a lifecycle. For curation to be successful, the data manager needs to be involved as early in the lifecycle of data as possible. http://www.bu.edu/datamanagement/background/data-life-cycle/#creating We have created services at the Marriott Library based on this model. The one truism is that the earlier that a data manger can get involved in the process, the more effective data curation will be.
- We all tend to think of “Data” as being something that is more prevalent in the hard sciences but every researcher on this campus uses data. Data curation in the social sciences is nothing new. ICPSR has been around for over 50 years. Census data has been collected and broadly used since 1790.
- Many of these items have been digitized and are now available online through different libraries and archives. This is the kind of material we worked with most often in the Mountain West Digital Library. I like to think of data in Michael Buckland’s term which is “alleged evidence” for whatever it is you are trying to prove.
- It has always been part of our mission to support the research activities of our researchers on campus and to preserve the scholarly outputs of research. In the past that meant, journals and books, but now data are starting to be seen as scholarly outputs of research as well.
- History of retooling ourselves to meet the needs of our research community. Things that we may not be great at – data analysis or data visualization.
- 40% of the 2400 respondents said that they want more assistance with research data. This became a key recommendation from the strategic planning consultants.
- Despite all these challenges, data curation has consistently been identified as a “Top Trend” in academic research libraries for the past few years and one of the main reasons for that is a host of new policies and funding requirements that have come out that requiring data management plans or data sharing. https://www.lib.umn.edu/datamanagement/funding http://libraries.mit.edu/scholarly/publishing/research-funders/research-funder-open-access-requirements/
- Nature is the most cited scientific journal in the world and Journals and Funders are requiring data sharing but they are not offering to provide the services. Funders will pay for data management. http://www.nature.com/authors/policies/availability.html For certain types of datasets, submission to a community-endorsed data repository is mandatory. Recommended data repositories: http://www.nature.com/sdata/data-policies/repositories
- Version control – what gets kept? Some datasets never stop amassing data. (Twitter archive, Hubble telescope)
- We don’t create the data and there are literally hundreds of file formats that we may have to consider accepting a working with.
- Beyond the technical problems there are lots of social considerations as well… Data is incredibly important to out researchers, but the culture of data sharing is still new to most of them and it can be kind of scary.
- Mention Data Q – funded by IMLS
- That was a look at where we’ve been for the past five years. Now I would like to take a look at where we’re going. I don’t have a crystal ball, but I think based on the trends we’ve seen, we can make some educated guesses about where the data needs are changing in the social sciences and humanities.
- When I was a kid, our phone would ring off the hook with people calling my parents with survey questions. Do they still do this, yes, but it’s a pretty ineffective way to gather data, especially if you are researching people in their 20s and 30s. I don’t even have a home phone. Now data is being collected on social media, on Google, on dating websites. This raises other ethical considerations about consent and transparency.
- We also have increased computing power
- Inherently interdisciplinary
- Example of collaborative work UDN is another example of collaborative work.
- Another example of how humanities work is getting interdisciplinary.
- Another thing that has been changing in the social sciences and humanities are different ways of evaluating impact. This is really important when it comes to datasets because it is still unclear how researchers will be rewarded for creating datasets that are used again and again. Data citation is still a new concept. Once thing that studies have shown is that researchers who publish data with their publications have higher citation counts than those who don’t.
- Researchers are going to see that not only do they have to share their datasets, but that there is great value in doing so.
- For us, this is what is changing… Johns Hopkins Data stack layer
- Retooling ourselves for these new needs and this changing environment is essential. We need to give ourselves a little grace and we need to give ourselves lots of opportunities for training in order to retool ourselves to meet these needs.
- To me, this is the most exciting part of the prompt. In light of all these changes, what can the Marriott Library do to partner with our campus faculty around their data needs?
- First of all, we need to work on expanding the suite of data services that we offer and make sure our researchers know that the library is the place to get these services. Which services we offer will be determined by two things: The needs of our research community and Our own resources
- From UCSD - Based on the lessons learned in our processes, the Research Data Curation Program will provide a suite of services from which campus users can pick and choose, as necessary. Once again, these projects were undertaken because of data management requirements
- Visual Roadmap for the Minnesota Data Curation Pilot Project
- We all have a lot to learn from each other. Pilot project – very popular with faculty. Helping them understand what needs to go on to take care of their data. Highlights the role the library can play. Hey got a sense of what support was there for them. Other tings can be in helping to draft policy about faculty ownership of data, (all your data belongs to the university) what rights to researchers have? Make them aware of tools and people that exist that might make the job easier, involve them at the point of writing the data management plan. Embedded in research teams, not going to be on every project. New roles of the librarian.
- They have added 12 more publications since I left.
- Thank you so much for listening. Does anyone have any questions?