Up your Data Game
Now that you have had a chance to explore data resources by some hands-on learning, are you are ready to learn more about research data management, data analysis in clinical and more general contexts? Use the links below to go beyond basic skills and use what you have learned in more advanced data contexts. The resources below are organized by core skills identified for data science and open science librarians In April 2019 at the National Library of Medicine’s Office of Strategic Initiatives workshop.
Try out some new tools, take some data courses, or play with your own data, and email your questions and recommendations about data literacy and data management topics to help us to continue to build the Data Roadmap.
Once you have had a chance to dig into some data skill building resources from the previous level, you may want to explore more on topics you uncovered of interest! These links provide a more formal learning experience around developing or enhancing data skills.
- Data storytelling: Modules that explain what data storytelling is, why it is important, and some tips on becoming better at data storytelling.
- Data science courses: A variety of courses from Coursera exploring different data science topics.
- Presentations and Press: Webinars, posters, and presentations from DMPTool that provide more information on using the data management plan tool.
- RDM 101: A free class offered by NNLM.
- Research Data Management Librarian Academy.
If you are interested in developing programming and statistical skills these links will introduce you to some courses and learning objects related to the more advanced programming and statistical level of data science!
- Tableau Public resources: Videos to help you get started or advance your Tableau skills.
- Courses in R, Python, and data science: Free courses from DataCamp.
- SPSS for beginners: Online course by Research by design.
Traditional Library Skills
As you begin to interact with clinical and health science researchers, you may also want to think about updating some more traditional librarian skills around the topics of systematics reviews, digital archiving, teaching data literacy and open data topics.
- The Pieces of Systematic Review with Margaret Foster Webinar Series: Archived webinar series from NNLM on conducting a systematic review.
- The Complete Guide to Personal Digital Archiving: Publication from the ALA on turning your data management skills in to practical skills novices can apply to their own information.
- How to cite datasets and link to publications: A guide from the DCC on creating links and citations.
- Creating data literate students: AN IMLS-funded project from the University of Michigan to develop data and statistical literacy skills in high school librarians.
- Using open data in teaching: Modules that offer best practices, resources, and examples for incorporating open data in your teaching.
Skills for Developing Programs & Services
Once you start developing and promoting programs and services, use the information found at the links below to up your marketing game and refocusing on customer service.
- Research4Life: Advocacy and marketing strategies for librarians.
- The Library Marketing Toolkit: ALA publication that provides readers with everything needed to successfully market any library.
- Extreme customer service, every time: Webinar on library customer service.
- How to Develop Outcome Measures & Design Effective Surveys: A webinar from PLA about the Project Outcome Initiative.
Research & Subject Matter Knowledge
Think about some practical applications of your developing knowledge, skill sets and attitudes about integrating librarianship, research and data science. The links related to this core skill of Research and Subject Matter Knowledge can help you reflect on your practice.
- RISE, the Research Infrastructure Self Evaluation Framework: The DCC's capability model for research data management support services.
- On librarians writing: Blog post form Academic Librarian with further resources and tips on developing a writing practice.
- Research on teaching data science: Blog post discussing the process of teaching data science.
To Up your Data Game, draw on creative skills, aptitudes and other interpersonal skills as you reach out to researchers and students. Thinking about the presentation of information can enhance your opportunities for collaboration and partnerships!
- Five tips for better faculty-librarian communication and collaboration: Article on effective communication and collaboration between librarians and faculty from Bruce Rosenstein.
- Ten habits of highly creative people: Article from Berkley's Greater Good Science Center.
- Be fearless: Public speaking for librarians: Webinar on basic skills for preparing and delivering talks.
Think about joining some data science and data management organizations to stay up to date on your skills development!