SYNTHESYS3 Parallel Discussions

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Presentation transcript:

SYNTHESYS3 Parallel Discussions Joint Research Activities SYNTHESYS3 Final Meeting NHM, London, 6-7 June 2017

SYNTHESYS+ Potential JRA Tasks Category: Title Industrialization of the mobilization of collections data Vision ... The key challenge(s) Greater deployment of computer vision based approaches Next steps for crowdsourcing Approaches to digitisation prioritisation Covering the needs of special (societally relevant) collections KPI’s … Possible Partners

SYNTHESYS+ Potential JRA Tasks Category: Title Management of large data collections Vision The key challenge(s) Long term preservation of data Digital access to the long tail of big data Best practices for image management Alignment of institutional policies & needs of user groups KPI’s … Possible Partners

SYNTHESYS+ Potential JRA Tasks Category: Title Data quality and data management issues (we are perfectionists, but do we need to be?) Vision Research to assess how important data quality is to the outcomes of biodiversity research The key challenge(s) For example, how does sampling density impact research data applicability? Other areas include: Taxonomic correctness, sampling bias, that impact data usability. [nb. to date most of the work has focused on observation data, not collection data]. Need to consider impact on collection management systems. KPI’s / Outcomes Recommendations to improve the management of our data and impact on our data cleaning methodologies Possible Partners …

SYNTHESYS+ Potential JRA Tasks Category: Title New technical developments influencing collections management research Vision e.g. Computer vision, genetic engineering, robotics, IIIF, data linkage The key challenge(s) KPI’s / Outcomes … Possible Partners

General Comments / Areas Developing services for new user communities Better linkage of the TAF’s to the JRA Better integration of living and preserved collections management What will happen over the next 20 years, given the creation of new types of genetically modified organisms How to we handle genetically engineered / manipulated organisms and how to these relate to the changing role of natural history collections To Fit In: Linking via identifers and use and impact assessment tools (include ORCID people identifiers) Moving crowdsourcing to citizen science