Research with Dataspheres AI - in 10 Minutes | DATASPHERES AI - Dataspheres AI

From Field Recording to Findings DATASPHERES AI From Field Recording to Findings Run a complete study on one platform. A ten-minute tour 0:00-0:40 - Welcom...

From Field Recording to Findings DATASPHERES AI From Field Recording to Findings Run a complete study on one platform. A ten-minute tour 0:00-0:40 - Welcome. One sentence on who we are: 'We build a research platform for communities and the people who study with them.' Then straight into the story - no agenda slide, no bio. The deck is 10 minutes: scene (1), cost (1.5), the turn + the course (1), six modules (5.5), close (0.5). The course IS the talk - they leave with the async version of everything shown. It's 11 p.m. Where is your study right now? The interviews live in Zoom cloud links and .m4a voice memos. The transcripts live in Otter - another subscription, with an upload cap. The codes live in NVivo - on the one lab machine that has the license. The codebook is codebook_v7_FINAL_revised.xlsx. The demographics are in Qualtrics. The consent forms are in a Drive folder. The best quote is somewhere in a Word doc. And the findings deck is due Friday. 0:40-1:40 - Read the inventory slowly; every line is a real tool the room pays for and fights with. The specificity IS the persuasion - generic pain slides bounce off, but 'codebook_v7_FINAL_revised.xlsx' gets a laugh because everyone has that file. Land the gold line, pause: 'Sound familiar?' Wait for the nods. Fragmentation has a price Fragmentation has a price Traceability "Which voice does this claim come from?" - the question you can no longer answer quickly. Time Hours spent re-finding things you already found. Trust A reviewer's question - or an IRB audit - you can't walk back to the data. Money A QDA seat can run $800-1,400 a year. Transcription is another subscription. Per person. 1:40-3:00 - Agitate honestly: these are costs the room already pays. Traceability, time, trust - then money: 'a QDA seat alone can run eight hundred to fourteen hundred dollars a year, per person, and transcription is a separate subscription on top.' Land trust hardest - 'every claim you can't trace is a claim someone else gets to question.' That earns the turn. A free course, six modules What if the whole study lived in one place? We packaged the whole arc into a free, self-paced course - six modules. One datasphere holds the study - recordings, transcripts, codes, datasets, surveys, reports - with dashboards in sync in real time. This is the directory of one: The next six slides are the six modules. 3:00-4:00 - The turn, and the plan. 'What if the whole study lived in one place? We built that - and we packaged the whole workflow into a free course you can take async.' Point at the screenshot: 'This is a datasphere.' Then: 'Here are its six modules in six slides.' Module 1 - Your Research Workspace MODULE 1 OF 6 - YOUR RESEARCH WORKSPACE A home for the whole study - and you hold the keys The datasphere as a research container: roles and access controls scoped to your study, privacy walls around participant spaces, audit trails on every AI-assisted step. In the sample study: a public workspace anyone can inspect - dataspheres.ai/pages/ai-in-academia 4:00-5:00 - Module 1 sets the container AND answers the IRB question up front: 'everything you're about to see runs inside access controls you configure, and the platform documents its own security architecture so you can cite it in a protocol.' Control language from the first minute. Module 2 - Collecting Data MODULE 2 OF 6 - COLLECTING DATA Everything lands in one place Interviews, video, documents, images, participant journals, and continuous surveys - uploaded from any device, straight into the study workspace. In the sample study: 42 sources on AI in academia - every URL verified live before inclusion. 5:00-6:00 - Module 2. 'Multimodal, at scale - a phone at a field site and a laptop at the office feed the same workspace.' Continuous surveys mean intake keeps flowing while you analyze. Module 3 - Transcription for Real Fieldwork MODULE 3 OF 6 - TRANSCRIPTION FOR REAL FIELDWORK Voices become text - speakers kept apart Speaker-diarized transcription and translation, in the languages your participants actually speak. The transcript is a first draft you review - not an answer you accept. In the sample study: 14 recordings transcribed - 78,000 timestamped words in the Library. 6:00-7:00 - Module 3. 'Diarized means every line knows who said it.' Multilingual matters to this room - fieldwork rarely happens in English only. Module 4 - Qualitative Coding with an Audit Trail MODULE 4 OF 6 - QUALITATIVE CODING WITH AN AUDIT TRAIL Your codebook, your call Thematic analysis with audit trails and manual controls at every step - AI assists as a second coder, never the author. You accept, reject, or rewrite every application. In the sample study: 53 segments double-coded blind - agreement k = 0.89, codebook amended from the disagreements. 7:00-8:00 - Module 4 - the slide this audience is most skeptical about, so give them the receipts: 'In our sample study we double-coded 53 segments with two blind coders - kappa 0.89 on theme, 0.91 on stan