Скачать презентацию From Observational Data to Information OD 2 I Скачать презентацию From Observational Data to Information OD 2 I

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From Observational Data to Information (OD 2 I IG ) Jay Pearlman and Markus From Observational Data to Information (OD 2 I IG ) Jay Pearlman and Markus Stocker RDA Meeting January 12 2018

Brief Recap of Purpose of WG/IG Understanding the data and information value chain – Brief Recap of Purpose of WG/IG Understanding the data and information value chain – “data to information (to knowledge)” OD 2 I studies and advances understanding of the interface between users and research infrastructures in the data use phase of the research data lifecycle Building on collected use cases, the OD 2 I IG advances understanding for how observational data evolve to information via interpretation 2

OD 2 I Objectives ● Engage variety of stakeholders ● Collect use cases, solutions OD 2 I Objectives ● Engage variety of stakeholders ● Collect use cases, solutions and challenges as reported by stakeholders ● Develop solutions to unresolved challenges ● Transfer solutions across stakeholders Process and Development Platform for continued assessments 3

What has been accomplished to date? A bird of a feather session at 9 What has been accomplished to date? A bird of a feather session at 9 th Plenary – Introduction to subject and definition of scope; interest in moving ahead but more discussion needed. Monthly meetings (and more) over the last year to work out details Proposal for an IG recently with objective to have first meeting at 11 th Plenary 4

Issues and Challenges • Scoping • Aligning with the European Research Infrastructures • Identifying Issues and Challenges • Scoping • Aligning with the European Research Infrastructures • Identifying use cases 5

Use Cases ● Aerosol Science ● Biodiversity and Conservation Science ● Precision Agriculture ● Use Cases ● Aerosol Science ● Biodiversity and Conservation Science ● Precision Agriculture ● Intelligent Transportation Systems 6

Aerosol Science Use Case ● Observational data: Aerosol particle size distribution ● Information: Machine Aerosol Science Use Case ● Observational data: Aerosol particle size distribution ● Information: Machine readable descriptions of particle formation events ● Activity: Human-in-the-loop visual data interpretation 7

Plan for Next 12 Months 8 ● OD 2 I IG kick-off session at Plan for Next 12 Months 8 ● OD 2 I IG kick-off session at Plenary 11 in Berlin ● Liaise with related RDA IGs and WGs as well as groups outside RDA ● Develop the OD 2 I IG’s reference conceptualization ● White paper on developed reference conceptualization ● Finalize the template for use case descriptions/update and expand use cases ● Analyse the use cases for commonalities and differences ● Identify and report common challenges ● Collect feedback from teams implementing use cases

Related WG/IGs? ● Data in Context IG ● Data Fabric IG ● Assessment of Related WG/IGs? ● Data in Context IG ● Data Fabric IG ● Assessment of Data Fitness for Use WG ● Data Foundation and Terminology WG ● Research Data Provenance IG ● Virtual Research Environment IG ● Reproducibility IG ● Long tail of research data IG ● Global Water Information IG ● Other …. 9

Fitting the RDA mission 10 RDA Plenary Theme: Fitting the RDA mission 10 RDA Plenary Theme: "From Data to Knowledge" ● Socio-technical support for interpretation of primary data ● Realize paths to improved information and knowledge-based systems ● Increased usability of data as information by both humans and machines ● Machines enabled in automated processing of information

11 Thank you 11 Thank you

Best Practices in Ocean Observing Looking at the end to end value chain Jay Best Practices in Ocean Observing Looking at the end to end value chain Jay Pearlman

Status of Ocean Best Practices (BP) ● ● ● Large investments in high quality Status of Ocean Best Practices (BP) ● ● ● Large investments in high quality measurements Quality of BP Documentation varies widely Access to BP is challenging Data and metadata formats are inconsistent Machine readability is limited (if at all) Sustainability is often not guaranteed 16

Best Practices Structure 17 Best Practices Structure 17

Best Practices Flow 18 18 Best Practices Flow 18 18

Best Practice System ● Introduce PIDs – DOI, ORCHID ● Expand repository capabilities – Best Practice System ● Introduce PIDs – DOI, ORCHID ● Expand repository capabilities – based on IOC/IODE Ocean Best Practices Repository ● Introduce consistent metadata structure through templates and through metadata enhancement ● Introduce sematic-based search and draw on community vocabularies ● Alignment with FAIR principles and open operations ● Introduction of community peer review including Research Topic in Frontiers in Marine Science 19

Do we fit within RDA - ● Are we part of an Interest Group Do we fit within RDA - ● Are we part of an Interest Group (e. g. Marine Data Harmonization)? ● Are we a working group? Or ● Are we an adopter? 20