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Data sharing: solutions
- 1. WYRED Project: Data Sharing Satellite Event 2nd August 2018 Data Sharing: Solutions Vincent Hughes and Jessica Wormald
- 2. Re-cap • Increasing focus on data sharing across sciences (‘open science’) • Especially useful for sociolinguistics… oexpands scale of analyses (reveal subtle effects) oreplication • …and forensics ofor empirical estimation of typicality/ validation omove away from experience-based approaches • Importance of collaboration 2
- 3. What is data? • Anything is useful (and better than nothing): oknowledge oliterature orecordings oraw data oplatforms/ scripts for data extraction ocode (statistical modelling) 3
- 4. Solutions: Quantitative General • Recordings / raw data sharing • Online platforms – transcriptions + recordings Forensics • Different types of features • Different types of analysis • Forensic-friendly data collection 4
- 5. Solutions: Qualitative General + Forensic • Specialist knowledge • (Published) literature • Speed of access 5
- 6. WikiDialects What is it? Wiki = repository for information which is developed collaboratively by members of a community 6
- 7. WikiDialects How would it work? 7
- 9. WikiDialects • How would it be used? • Casework in forensics – assessing typicality • Research by academics – useful resource for finding out what is out there / sharing research • But other beneficiaries / users too • Speech and language therapy – assessing typicality • L2 English studies – understanding variation • Students – resource for studies • Lay audience – general interest 9
- 10. What does this need to work? Collaboration 10
- 11. What does this need to work? Better communication 11
- 12. What does this need to work? Ethics 12
- 13. What does this need to work? Money 13
Editor's Notes
- Platforms: SLAAP, ONZE, FAVE suite, SPADE Forced alignment Searching for internal and external sources of variation Easy extraction of large amounts of data Continually updated (longitudinal resource) Forensic-specific features: e.g. MFCCs/ LTFDs from across an entire recording means of summarising data easily incorporating large-scale analyses into case reports Forensic-specific collection methods capture more real world variation forensically realistic conditions e.g. multiple recordings per speaker, technical factors…
- Platforms: SLAAP, ONZE, FAVE suite, SPADE Forced alignment Searching for internal and external sources of variation Easy extraction of large amounts of data Continually updated (longitudinal resource) Forensic-specific features: e.g. MFCCs/ LTFDs from across an entire recording means of summarising data easily incorporating large-scale analyses into case reports Forensic-specific collection methods capture more real world variation forensically realistic conditions e.g. multiple recordings per speaker, technical factors…
- Combined qualitative and quantitative resource – qualitative collation of research as a ‘first port of call’ Community in this case = researchers interested in accents (sociolinguists, forensic speech scientists, speech and language therapists) Not – lay individuals with a view on language patterns (‘the youth of today can’t say th anymore – they all think it’s f !)
- Academics from across disciplines (e.g. sociolinguistics, phonetics) could contribute descriptions of linguistic features for different regional and social groups Could use the repository to search about features in a given region to find out about what’s been done about that feature – e.g….
- Select feature and region Pulls up resources (and summaries) on that feature – resources could be project platforms, larger platforms (e.g. SPADE), individual publications, academic website / blog Would include metadata (how many speakers, how old were they?) Provides a quick starting point to find out info available (useful for all – caseworkers / researchers / students)
- Investment in the enterprise requires us to explain the importance both theoretical and practical benefits Becoming part of ‘standard practice’
- General Forensics
- Understandable concerns about how data is used (especially where the term forensic is used)
- Difficult to get funding for tools (unless some specific call from RCs) Especially if no direct research question associated Impact funding is one potential avenue Also need funding for long-term maintenance of resources certainly for data platforms maybe less so for a wiki (?)