Publishing a paper is one big effort, but creating engagement and tracking the impact of it is another huge effort that most researchers take for granted. While increasing citations is one goal that people frequently mention when they are promoting their paper, creating engagement has more benefits than just adding some new citations to your portfolio. Olivier and Dasapta will share their experience engaging and collaborating via social media, blogpost, and drawing after a paper is published. Open Access means: open access to the files (uploading them to a public repository) open access to the contents --- Event (https://www.force11.org/fsci/2021/course-list-abstracts#T20) T20 - Case studies in the Earth Sciences: Current approaches to publishing, data and computation Sam Teplitzky, Anusuriya Devaraju, Chris Erdmann, Siddeswara Guru, Ivan Hannigan, Dasapta Irawan, Fernando Perez, Olivier Pourret, Natasha Simons, Alison Specht, Shelley Stall, Wynn Tranfield Abstract: Expectations of collaboration and contribution in the Earth, Space, and Environmental Sciences (ESES) are not always transparent. Increasingly scientists must navigate modern workflows that require an understanding of and attention to changing standards for publications and their associated research products. This course will take emerging and established researchers in Earth Science domains through current approaches to discipline-specific research workflows, including reproducibility, publishing, preserving and sharing data, and setting up computational and software environments at scale. Attendees will leave with ideas and methods for constructing their own research workflows that incorporate ESES tools and perspectives. Seven sessions will be offered within the following three themes: Publishing, Data and Computation. Session 1: Introduction to Open and Reproducible Practices in Earth Sciences Instructors: Sam Teplitzky, Wynn Tranfield Description: Serving as an introduction to Case studies in the Earth Sciences course, this session will also introduce participants to the range of topics considered at the outset of an Earth Sciences research project, such as reproducibility, preregistration, and authorship. Session 2: Your paper is published, it’s not the end of the journey Instructors: Dasapta Irawan, Olivier Pourret Description: Publishing a paper is one big effort, but creating engagement and tracking the impact of it is another huge effort that most researchers take for granted. While increasing citations is one goal that people frequently mention when they are promoting their paper, creating engagement has more benefits than just adding some new citations to your portfolio. Olivier and Dasapta will share their experience engaging and collaborating via social media, blogpost, and drawing after a paper is published. Session 3: Open Discussion Session/Informal Networking Session 4: FAIR Data & Software Citation Instructors: Chris Erdmann, Natasha Simons Description: Citing data and software you created for your research may seem odd and a little bit like self-citation. But Alas! This is exactly what is needed to get credit for the data and software you created for your research. Giving credit to not only your research outputs but also others’ software and data that you used in your research are important. These research outputs are valuable contributions to science and increase the possibility of higher numbers of citations for your published papers. In this session we will provide a checklist of what to cite in your paper as well as data and software management tools and practices that make sharing your data and software at the time of publication easier. Session 5: Data Management Plans that ensure FAIR principles Instructors: Anusuriya Devaraju, Alison Specht, Shelley Stall Description: In the first part of this component of the course, we shall introduce the participants to a Data and Digital Objects Management Plan through a checklist of steps and actions. For each step we shall show how FAIR principle can be incorporated into their work, and how they can assess the adequacy of their efforts. In the second component of the course, we shall invite the participants to bring an example of their own data, and help them to incorporate DMP and FAIR best practice into their own research data management. By this means we shall demonstrate that despite the wide variation in approaches in different discipline fields, there is a similarity of data management practice across all. The participants will take away active tools for their future work. Session 6: Collaborative, open geoscience in the cloud with Jupyter and Pangeo Instructors: Fernando Perez Description: In this session, we will demonstrate how tools in the Jupyter and Pangeo projects can be used to support open, collaborative practices in geoscience in the cloud. Modern cloud infrastructure offers a variety of computational infrastructure that can be deployed elastically, and the availability of geophysical data in the cloud is increasing at a rapid pace. Open source tools and communities like Pangeo and Project Jupyter can unlock this potential with modular components that scientists can use for a variety of scenarios ranging from individual exploration to large-scale, reproducible team science. We will describe some key components of these tools and illustrate how they can be put to use in concrete research scenarios. Session 7: Introduction to virtual work platforms (using CoESRA) Instructors: Siddeswara Guru, Ivan Hannigan Description: In the Earth and Environmental sciences international collaboration is expected. Covid-19 restrictions to travel have only exacerbated an existing challenge: how to work together in a productive manner. The virtual laboratory has gained traction in education, allowing students to collaborate and learn using cloud-based tools from their own desktop. In this component of the course we shall give an introduction to the virtual workspace, using a freeware example, CoESRA. We shall demonstrate how to source and save data, manipulate the data and run analyses, save the results, and ready them for publication, all with multiple colleagues participating. We shall run through the acquisition of a data set that is available on-line, to its analysis and the recording of the steps along the way, and then provide the opportunity for participants to source their own data and, with guidance, learn how to use the tools available, how to add more, and how to export the results. Audience: Researchers in the Earth Sciences, Presented in FSCI FORCE11 event https://www.force11.org/fsci/2021/course-list-abstracts#T20