Ps rwebinar january2019final
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There are many online and in-person courses available for librarians to learn about research data management, data analysis, and visualization, but after you have taken a course, how do you go about applying what you have learned? While it is possible to just start offering classes and consultations, your service will have a better chance of becoming relevant if you consider stakeholders and review your institutional environment. This lecture will give you some ideas to get started with data services at your institution.
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Ps rwebinar january2019final
- 1. What to Do After You Take a Data Course. Margaret Henderson Health Sciences Librarian
- 6. Realistic Final Plan 1. Create a web presence. 2. Conduct an environmental scan for data and data management resources 3. Pick the low hanging fruit - recommended by the CIO at the time - DMPs and other funder requirements 4. Talk to researchers, students, and others involved in data at the university. 5. Educate everyone I can.
- 7. "There is no need for research libraries to start with all recommendations or to try to deliver a full spectrum of data services at once. Small steps will do.“ LIBER working group on E-science. Ten recommendations for libraries to get started with research data management. 2012. Available from: http://libereurope.eu/wp-content/uploads/The%20research%20data%20group%202012%20v7%20final.pdf
- 8. Assessment Think ahead. What will you need to show to prove data support is useful and working? 1. Articulate - What do I already know? 2. Assemble - What are the best evidence sources to answer this question? 3. Assess - How does the evidence I have apply in my context? 4. Agree - What is the best decision based on the available evidence? 5. Adapt - What worked? What didn’t? What can be improved? (Coates et. al. 2018)
- 10. (Murphy & Gibson 2014)
- 11. How many additional partnerships, both on and off campus, result from this work? For more information go to https://en.wikipedia.org/wiki/Social_network_analysis_software
- 12. What do Researchers Want vs What Library Offers. Within the realm of research data management, libraries spend resources building and providing tools that are not within researcher workflows and/or are not aligned with researcher values. By doing this, we are setting ourselves up for failure. Daniella Louenberg, 2018
- 13. Throughout these discussions, my focus remains: what is it that investigators need to be more successful? What is it that the university needs to provide in order to meet its various responsibilities? What do we need from IT, the Office of Sponsored Programs, the Graduate School? And, yes, from the Libraries. But looking at the issues with a focus on what the investigators need turns out to be quite different from focusing on “what can the library provide.” T. Scott Plutchak, 2016
- 14. (Henderson, 2017. p. 17) Researcher Work Cycle
- 15. Interviews Find out what people need, without jumping in with what library does. NECDMC Simplified Data Management Plan Types of Data • What types of data will you be creating or capturing? (experimental measures, observational or qualitative, model simulation, existing) • How will you capture, create, and/or process the data? (Identify instruments, software, imaging, etc. used) Contextual Details (Metadata) Needed to Make Data Meaningful to Others • What file formats and naming conventions will you be using? Storage, Backup and Security • Where and on what media will you store the data? • What is your backup plan for the data? • How will you manage data security?
- 17. Strategic Planning • PEST - political, economic, social, and technological factor • PESTEL – add environmental and legal factors • SWOT – strengths, weaknesses, opportunities, and threats • Six Forces Model – competition, new entrants, end users, suppliers, substitutes, and complementary products • SOAR – strengths, opportunities, aspirations, results
- 18. Partners • Information Technology/Technology Services – backups and security • Office of Research – grants, research output for assessment, patents • Administration – people, financial, facilities data • Records – patient health records • Statistics or Biostatistics department • Etc. Read and take some of the practical steps listed in Humphreys, B.L. (2018) How to earn a reputation as a great partner. Journal of the Medical Library Association. 106(4), 521-526. http://jmla.pitt.edu/ojs/jmla/article/view/504/695
- 19. Simplified Data Lifecycle Data Management Plan and Ownership Organizing and folder and file name suggestions Metadata or Readme files Clean data and statistics help IR, subject repository, or journal that includes supporting data. Stable file formats, duration as per funder or other policy.
- 20. Data in the Context of Research Support (Henderson et. al. 2015)
- 23. Journal Policies and Open Science • Funders are only one group interested in making data available. • Journal editors, professional groups, businesses and others are interested in data and scholarly research. Piwowar HA, Day RS, Fridsma DB (2007) Sharing Detailed Research Data Is Associated with Increased Citation Rate. PLOS ONE 2(3): e308.https://doi.org/10.1371/journal.pone.0000308 has been cited over 300 times! • Look for recent articles in your subject area on citation increases when data is shared.
- 24. The Journal Article Exception http://retractionwatch.com/2016/02/23/we-are-living-in-hell-authors-retract-2nd-paper-due-to-missing-raw-data/
- 25. Stored Example Final MS for deposit Data to support figure and images
- 29. Suggested Plan • Manage Presence • Plan Assessment • Understand Needs • Learn about Environment • Plan Strategically • Develop Partners • Get the Big Picture
- 30. NLM Strategic Plan 2017-2017 As we look forward, this document positions us to address existing and emerging challenges in biomedical research and public health. We will achieve this by creating a vibrant workforce; building on our core functions of acquiring, collecting, and disseminating the world’s biomedical literature; and extending these skills and developing new ones to make data findable, accessible, interoperable, and reusable. NLM Director Patti Brennan discussing the NLM Strategic Plan 2017-2027: A Platform for Biomedical Discovery and Data-Powered Health
- 31. Data Librarian Traits •Challenge •Commitment •Compassion •Curiosity •Communication •Collaboration
- 32. Curiosity • Learn new programs. • Keep up with requirements. • Try open science. • What are researchers working on? What are their pain points?
- 33. Communication • Entrepreneurial marketing • Facilitation • Spread awareness of skills and services
- 34. Collaboration • Work with partners on training, needs, research, etc. • Develop shared programs.
- 35. Challenge • Change management is hard. • New services take time to get started. • Learn from mistakes.
- 36. Commitment • Don’t give up after the first unattended class. Try another time. • Keep learning. • Persist.
- 37. Compassion • Listen to needs. • Understand failures, yours and theirs.
- 39. References Bidney, M. (2014). Library as Platform: Assessing Outreach and Engagement in the Library of the Future. In Assessing Liaison Librarians: Documenting Impact for Positive Change (pp. 105–119). Chicago: American Library Association Coates, H. L., Carlson, J., Clement, R., Henderson, M., Johnston, L. R., & Shorish, Y. (2018). How are we Measuring Up? Evaluating Research Data Services in Academic Libraries. Journal of Librarianship and Scholarly Communication, 6(1), eP2226. DOI: http://doi.org/10.7710/2162-3309.2226 Henderson, Margaret. (2016) Data Management: A Practical Guide for Librarians. Rowman & Littlefield. Henderson, Margaret E., Arendt, Julie, Roseberry, Martha, Cyrus, John, and Gau, Karen. (2015) Collaborating to Improve Collaboration: Informationist Team Support for an Interdisciplinary Research Group. Poster presented ACRL (Association of College & Research Libraries) Science & Technology Section Annual Program; American Library Association Annual Meeting, San Francisco, CA. http://scholarscompass.vcu.edu/libraries_present/39/ Henderson, Margaret; Raboin, Regina; Shorish, Yasmeen; and Van Tuyl, Steve. (2014) “Research Data Management on a Shoestring Budget.” ASIS&T Bulletin, 40(6) (based on presentation at RDAP 2014 in San Diego, CA)
- 40. Knapp, P.B. (1959) College Teaching and the College Library. American Library Association: Chicago.(ACRL Monograph No. 23) p. 93. Lamar Soutter Library, University of Massachusetts Medical School. New England Collaborative Data Management Curriculum. http://library.umassmed.edu/necdmc LIBER working group on E-science. Ten recommendations for libraries to get started with research data management. 2012. http://libereurope.eu/wp- content/uploads/The%20research%20data%20group%202012%20v7%20final.pdf Louenberg, D. (2018) We Can’t Succeed Alone. UC3 (California Digital Library blog). December 18, 2018. https://uc3.cdlib.org/2018/12/18/we-cant-succeed-alone/ Murphy, S. A., & Gibson, C. (2014). Programmatic Assessment of Research Services: Information the Evolution of an Engaged Liaison Librarian Model. In Assessing Liaison Librarians: Documenting Impact for Positive Change (pp. 17–33). Chicago: American Library Association. NLM Strategic Plan 2017-2027: A Platform for Biomedical Discovery and Data-Powered Health https://www.nlm.nih.gov/pubs/plan/lrp17/NLM_StrategicReport2017_2027.html Plutchak, T. S. (2016) A Librarian Out of the Library. Journal of eScience Librarianship 5(1): e1106. http://dx.doi.org/10.7191/jeslib.2016.1106
- 41. Sayre, Franklin, & Amy Riegelman. "The Reproducibility Crisis and Academic Libraries." College & Research Libraries [Online], 79.1 (2018): 2. Web. 13 Jun. 2018 https://crl.acrl.org/index.php/crl/article/view/16846/18452 Sayre, Franklin, & Amy Riegelman. “Replicable Services for Reproducible Research: A Model for Academic Libraries.” College & Research Libraries [Online], preprint: https://crl.acrl.org/index.php/crl/article/view/16993 Sayer & Riegelman MLA Webinar, Helping Science Succeed: The Librarian’s Role in Addressing the Reproducibility Crisis http://www.medlib-ed.org/products/1974/helping-science-succeed- the-librarians-role-in-addressing-the-reproducibility-crisis
- 42. URLs for slide 2 • URLs for images: • https://www.dataone.org/education • https://mantra.edina.ac.uk/ • https://library.umassmed.edu/resources/necdmc/index • https://www.coursera.org/specializations/jhu-data-science • http://libraryjuiceacademy.com/082-data-management.php • https://www.udacity.com/course/data-analyst-nanodegree--nd002 • https://datacarpentry.org/ • https://www.canvas.net/browse/harvard-medical/courses/biomed-research-data-mgmt • https://bigdatau.ini.usc.edu/home • https://news.nnlm.gov/nto/2018/11/28/applications-open-for-rdm-102-beyond- research-data-management-for-biomedical-and-health-sciences-librarians/
Notas do Editor
- This is not a series of steps, but it does make sense to do some things early on. I made sure there was a web presence, a LibGuide, before going out to meet with people, so I could refer them somewhere for more information when they were finally looking for data help.
- Based on EBLIP principles.
- Bidney, M. (2014). Library as Platform: Assessing Outreach and Engagement in the Library of the Future. In Assessing Liaison Librarians: Documenting Impact for Positive Change (pp. 105–119). Chicago: American Library Association
- Murphy, S. A., & Gibson, C. (2014). Programmatic Assessment of Research Services: Information the Evolution of an Engaged Liaison Librarian Model. In Assessing Liaison Librarians: Documenting Impact for Positive Change (pp. 17-33). Chicago: American Library Association.
- For example, instead of just listing partnerships, you could do a social network analysis graph, with the direction and width of lines, or different line types, showing the interactions between partners.
- I have stressed this many times, but I’m repeating it here in the words of others – what do our Data creators and users, faculty or researchers, really want?
- I still find that one of the best basic starting points for learning more is the New England Collaborative Data Management Curriculum A Joint Initiative of the University of Massachusetts Medical School & the National Network of Libraries of Medicine, New England Region Simplified Data Management Plan
- Fit data into the spectrum of faculty and researcher support provided by your library. This diagram is based on the work I did with colleagues for an NLM Informationist Award and you can see we found many ways to work with our research group. This was before the NIH push for reproducibility (change slides)
- Helping with reproducibility is another way data librarians can support research,
- Riegelman
- As I was looking at slide decks from past presentations to get ideas of what I have done that seems to help, I realized that the references I used just a few years ago needed to be updated. While this older article is good, it is much better that you look for something recent that is subject specific to the group you are working in. Biomedical science has very different citing patterns compared to ecology, and human subjects have different criteria for sharing that cell samples. Learn about the field you are working in.
- Some researchers will be up on things like open science and data citation, but others will be happy to have your assistance in navigating all the different
- …there is a widespread lack of understanding or, at least, consensus among faculty and staff about what a library can and should contribute to the college – indeed, about what a library is. This was back in 1959 in an ACRL monograph discussing the role of librarians in college teaching, and there are still times we have to convince faculty we can teach, so data services is often going to be something we have to sell. There will be times you hit just the right person and they are thrilled to have your help. In the faculty survey I eventually did at VCU, I had respondents excited to get help, and one who stated that librarians didn’t know enough and shouldn’t help at all. People not knowing what the library does is not new. So we need to think about marketing to make sure we get the word out there. Things can snowball. The wonderful PR person at the VCU Libraries sent around a start of the school year newsletter with information about new hires, including my data librarian position, in print, to faculty. I was contacted by a young faculty member for help with a DMP because she saw me, and as we talked, she realized there were many things I could help with, so she wanted me to speak at a faculty meeting for her department. I talked there, and that led to another faculty member using our bepress IR for his next conference. We didn’t end up being the final publisher, but he did end up getting the meeting papers published open access by negotiating with the threat of publishing in our IR instead. So that one contact, led to multiple connections. And as much as we want to keep services free in our libraries, there is a need to know the costs of what we are doing and show that we are spending money wisely. We need to prove the worth of new services that some see as unnecessary for libraries.
- Get the big picture – how does data fit into the whole research and scholarly communication life cycle.
- While I wanted to mainly discuss practical things you could do to promote data librarianship at your place of work, I also want to remind you that our field is constantly changing, as evidenced by the NLM plan. I received my MLIS in 1986 (from the same school my grandmother received her MLS) and if I hadn’t been adept at life-long learning, I wouldn’t be where I am now. So I want to finish up with some reminders that will keep you thinking ahead and growing your skillset. Coincidentally, as I started this list with Curiosity and Communication, then added Collaboration and Challenge, I realized they all started with C, so I went with it for the last couple of traits.