Main content

Home

Menu

Loading wiki pages...

View
Wiki Version:
Final videos posted at at https://bit.ly/OUSTEMYT as well as the Libraries and Options for Remote STEM Research channels on mymedia.ou.edu Tentative title: Options for remote STEM research: the series overview Short summary: Field or lab work canceled? We'll talk about STEM research techniques that can be done remotely Events page summary: Please join us to kick off a summer full of videos on how to do STEM research remotely without the staples of laboratory or field work. Our goal is to help graduate and undergraduate researchers keep on track for graduation with a chapter done with existing data or writing up your introductions, to help postdocs get a paper out in spite of the conditions, and to help faculty members continue do research and support students during the pandemic. This event is a live question and answer session following on our series introduction videos. Please watch these videos before attending. They are: an overview of the STEM work from home series, meta-analyses, literature synthesis, analyzing existing datasets, and where to start with these techniques. Watch out for more online events and videos in this series over the summer! Format: recordings then live Q&A Sections - Video 1: Impetus and goals (3-5 min, recorded) - Speaking/video: Hi everybody. My name is Claire Curry and I'm a science librarian here at the University of Oklahoma libraries. The covid-19 pandemic is putting a great deal of uncertainty into our summer and fall research plans. We thought we'd do a summer-long series on ways to do STEM research without the usual staples of going into the field or laboratory. - Speaking/slides: Our goal is to help graduate and undergraduate researchers keep on track for graduation with a chapter done with existing data or writing up your introductions, to help postdocs get a paper out in spite of the conditions, and to help faculty members continue do research and support students during the pandemic. - Speaking/slides: Today, we're going to talk about the series goals and give a brief overviews of options for non-field and non-lab research. Schedule-wise, we're going to put up two new sets of recordings or webinars up each month. We're going to cover three main types of resources and topics this summer. These will be literature synthesis, meta-analysis, and analyzing existing datasets. Using one or more of these research techniques can allow you to do research and general new knowledge right from wherever you are located. - Speaking/slides: Every video will have a transcript as well the video itself, for those who prefer or require reading, as well as slides posted where used. We'll follow up with a live Q&A/feedback session on May 19 (Tuesday) at 11am central daylight time. Our videos this week before the live session will be brief overviews of meta-analysis, literature sythesis, and existing datasets and in which situations each might be useful. - Speaking/video: Thanks for joining us and stay safe out there! - Video 2: meta-analysis - A meta-analysis is an analysis about other analyses. Essentially what you are doing is taking multiple studies and looking at trends found across all of them, not just a single study's results. This requires a combination of a systematic search of the literature, and extracting the magnitude of effects from each study found. This type of study will work best if your field has a lot of existing studies containing data on your topic of interest. - If you'd like to look at online resources right now, we have a research guide featuring many of our meta-analysis books available in electronic format. - We will be covering quantitative meta-analyses, where a statistical analysis is conducted. We will not be covering qualitative meta-analyses, but as is the case with any methodology, you can contact me and other librarians for help in finding literature on methods. Please make an appointment with me or another librarian by going to libcal.ou.edu! - We'll have a guest lecturer, Dr. Michael Patten of the Oklahoma Biological Survey, talking to us about meta-analyses in late May. Dr. Patten has recently taught a graduate-level class on meta-analyses as well as regularly teaching multivariate statistics. - Video 3: synthesis - The next topic I'll cover in our overview of ways to do STEM research from home is the literature synthesis. Literature reviews do what they say - review what scholarly literature exists on a subject. To keep them from becoming simply a list of facts, you need to synthesis that information to show the reader the patterns that exist. - This identifying of gaps in the literature is a great framework writing the introduction to your thesis or dissertation, or to writing introductions for a manuscript or chapter. - A synthetic literature review can work well if you believe you have a new framework or perspective for your field. This can turn your manuscript into a whole chapter or paper by itself. - We've got some online resources available at these links, including a whole guide to writing a literature review, and books at each STEM subject guide. - and we'll have more in-depth videos this summer. KEep an eye on Twitter and the DAVIS listserv. - Thanks for joining us and stay safe! - Video 4: analyzing existing datasets - Analyzing existing datasets is just what it sounds like - you take existing datasets from published studies, data papers, and repositories, and analyze them in a new way that answers questions that you have. - There are so many data repositories for different fields. We will highlight some common ones. We can't cover all repositories, just a few common ones, but we can help you with new search strategies to find new literature. We will also talk about how literature searching strategies can apply to finding data. - If you haven't used others' data before (and many of us haven't), we'll talk about how to correctly cite datasets and abide by licensing terms. - Like a meta-analysis, this type of study works best if lots of existing studies have collected the type of data needed to answer your question. - Video 5: what do I do now? - We hope this overview has given you some ideas of where to go next in your research program during the pandemic. You may now be asking yourself what the next steps to get started are. - First, consider what suits your research program. Talk to your colleagues, advisor/principal investigator, or students. - Second, once you've chosen an approach to explore, see what data exists, whether those data are datasets from a repository or those data are search results. We'll cover how to find these data in more detail in the upcoming video sets, but in general, here are a few tips. - To find a repository, use broader search terms, then narrow your search terms within the repository - When finding literature for synthesis and meta-analysis, start with more specific terms - In all cases, experiment with your search terms to make sure you are getting all related information. This includes looking for synonyms and alternate spellings. - You may need to revisit your approach if the right type of data doesn't exist. That's okay! - Book an appointment with your subject librarian! We love to help you start finding new databases and working with your search terms. - Finally, mark your calendar for our upcoming recordings and webinars. We'll have a Q&A and discussion of these videos live on May 11, 2-2:30pm central daylight time (United States). I'd love to hear your feedback and questions. - May 15, Friday, 2:00-2:30pm central daylight time (United States): Q&A (25 min, not recorded) - request for feedback - questions on coverage
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.