Library Data Science Center

Library Data Science Center === * Room 21536, Young Research Library * datascience@ucla.edu * Support Request: <https://goo.gl/forms/xKsELsoVa1SJaUq72> * These Slides: <https://hackmd.io/p/Bk0MPnqjX#> ---  ![Data Science Center](https://i.imgur.com/0E45bvh.png) ---  ![DSC webpage](https://i.imgur.com/yRt6QC5.png) ---  ## We are still a Data Archive and continue the archival mission and collections of the Social Science Data Archive ![](https://i.imgur.com/OOXxXCv.jpg) ---  ## Our **mission** is to foster a welcoming research community by developing foundational coding and data science skills through consulting and education. ---  ## We support researchers throughout the full data life cycle of activities: planning research projects and data management plans; data acquisition, storage, cleaning, and usage; analysis; publication; curation; and preservation. ---  ### NIH defines data science as: >the interdisciplinary field of inquiry in which quantitative and analytical approaches, processes, and systems are developed and used to extract knowledge and insights from increasingly large and/or complex sets of data. ---  ### This happens as a process <img src="https://i.imgur.com/bgKWSRx.png" width=20%> Visualization from [Opera Solutions](http://blog.operasolutions.com/bid/384900/what-is-data-science). ---  ### Data Life Cycle Cast in a Data Science Lens <img src="https://i.imgur.com/AQVvXdu.png" width=80%> <https://cacm.acm.org/magazines/2018/4/226372-realizing-the-potential-of-data-science/fulltext> ---  ### How we'd like this to be: <img src="https://i.imgur.com/Sm2k3x5.jpg" width=80%> ---  ### From the researcher's POV this might seem: <img src="https://i.imgur.com/oBGWkqz.jpg" width=80%> ---  >It is clear at higher education institutions across the country that Data Science is a critical skill for both 21st century research and a 21st century workforce. --[Realizing the Potential of Data Science](https://www.nsf.gov/cise/ac-data-science-report/CISEACDataScienceReport1.19.17.pdf), Final Report from the NSF CISE AC ---  How are we helping: * Providing support for the full **data science lifecycle** * Building **data science infrastructure** that promotes sharing, data use and lifecycle management * Providing support for **computational reproducibility and discovery** ---  How are we helping: * Contributing to **data science instructional and curricula support** * Providing support and referrals for researchers needing to **work at scale** (beyond the laptop) ---  ### Consulting [<img src="https://i.imgur.com/svyva1T.png" width=60%> (http://www.library.ucla.edu/location/data-science-center/our-team) <http://www.library.ucla.edu/location/data-science-center/our-team> Note: We can help with: Data Discovery, Data Management, Data Cleaning, Git, Python, R, SQL, SPSS, AWS, GIS, Geospatial Analysis, Remote Sensing, Git, Python, R, SQL, Stata, Open Science, Research Transparency, reproducible research ---  ### Infrastructure ![UCLA Dataverse](https://i.imgur.com/aRv7ZW3.png) ![UCLA Dataverse](https://i.imgur.com/h3Y9krM.png) Note: Coming soon! We are currently implementing dataverse for research objects and data. It's an open source web application built to share, preserve, cite, explore and analyze research data. Researchers, data authors, publishers, data distributors, and affiliated institutions all receive appropriate credit via a data citation with a persistent identifier (e.g., DOI, or Handle). ---  ### Infrastructure ![Open Science Framework](https://i.imgur.com/c9efN5t.png) <http://osf.ucla.edu> Note: OSF facilitates collaboration in scientific projects. Allows publishing of projects, but also supports publishing of scientific intent and research design. ---  ### Reproducibility support * Think of this as a beneficial combination of software development and data management best practices * Developing skills and practices to better package research for use and future study ---  ### Reproducibility Support We are partners with influential actors in this field: <img src="https://i.imgur.com/DKxkPl1.png" width=50%> Note: Berkeley Initiative for Transparency in the Social Sciences (BITSS) works to strengthen the integrity of social science research and evidence used for policy-making. The initiative aims to enhance the practices of economists, psychologists, political scientists, and other social scientists in ways that promote research transparency, reproducibility, and openness. We are Catalysts for the project. ---  ### Reproducibility Support We are partners with influential actors in this field: <img src="https://i.imgur.com/a4i2AHf.jpg" width=50%> Note: **COS** mission is to increase openness, integrity, and reproducibility of research. ---  ### We can help with: * Dynamic document and literate programming, e.g. Jupyter Notebooks, Rmarkdown * Modularizing analytic code * Data & project organization * Automation * Publishing & sharing ---  ### Instruction ![The Carpentries](https://i.imgur.com/dWFJhW8.png) <https://carpentries.org/> Note: The DSC is the contact and facilitator for the [Carpentries](https://carpentries.org/). The Carpentries teach foundational coding, and data science skills to researchers worldwide. Software Carpentry and Data Carpentry workshops are based on community created and maintained lessons. The Carpentries is a diverse, global community of volunteers. ---  ![The carpentries ecosystem](https://i.imgur.com/ZcQAfoD.png) Note: The Carpentries employs community of practice model where we provide welcoming and supportive environment for learners. ---  ![Carpentries Instructors](https://i.imgur.com/jzMaSAr.png) Note: So far Workshops delivered. ---  ![](https://i.imgur.com/9fEOl2D.png) Note: The areas covered by the Carpentries ---  ### We have new instructors: * Kristian Allen, Digital Library Program * Deidre Whitmore, Cotsen Instituted of Archaeology * Scott Friedman, Institute for Digital Research and Education (IDRE) - HPC * Jamie Jamison, Library Data Science Center (Jan 2019) * Leigh Phan, Library Data Science Center (Jan 2019) * Madeline Cowen, Ecology and Evolution Biology Graduate Student (Jan 2019) ---  ### Please Help Us Grow the Carpentries @UCLA * Email <datascience+carpentries@ucla.edu> and express your interest in a workshop, teaching or getting involved. ---  Data Science Center === ### Room 21536, Young Reserach Library ### datascience@ucla.edu ---