UPDATE ON TASK FORCE ON DATA COLLECTION AND DATA MODELLING 10.1.pdf · 2 MAIN OBJECTIVE The main...

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UPDATE ON TASK FORCE ON DATA COLLECTION AND DATA MODELLING 74 TH MEETING OF THE EFSA ADVISORY FORUM 27.11.2019. PARMA EFSA AF DATA COLLECTION AND DATA MODELLING TASK FORCE

Transcript of UPDATE ON TASK FORCE ON DATA COLLECTION AND DATA MODELLING 10.1.pdf · 2 MAIN OBJECTIVE The main...

Page 1: UPDATE ON TASK FORCE ON DATA COLLECTION AND DATA MODELLING 10.1.pdf · 2 MAIN OBJECTIVE The main objective of the Task Force is to overview the data collection and reporting processes

UPDATE ON TASK FORCE ON DATA COLLECTION AND DATA MODELLING 74TH MEETING OF THE EFSA ADVISORY FORUM27.11.2019. PARMA

EFSA AF DATA COLLECTION AND DATA MODELLING TASK FORCE

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MAIN OBJECTIVE

The main objective of the Task Force is to overview the data collection and reporting

processes and the data model and IT infrastructure used, from a strategic perspective,

and to formulate recommendations at a strategic level.

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AGENDA OF THE 6TH MEETING OF THE TF26TH NOVEMBER 2019, PARMA

Discussion of AF Plenary Feedback

Proposal on the Applicability of the ISA framework recommendations and their alignment with the AFTF recommendations

NOVA, RAKIP and ORION: Discussion of DRAFT report section on strategic connections with these projects

Discussion of draft report section on data capture at the point of sampling

Discussion of draft report section on data quality dimension of timeliness and the role of Focal Points in Data Quality

Discussion on next steps on report section on Data Modelling

Discussion on next steps on report section on IT Architecture

Discussion on the vision of a future desired system

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DISCUSSION OF AF PLENARY FEEDBACKAGENDA ITEM 1

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FEEDBACK FROM THE 73RD AF

Agenda item 7.1 (Update on TF on Data Collection and Data Modelling) – Task Force on Data Collection and Data Modelling

to liaise with the AF Discussion Group on Capacity Building on current and future needs for data science competences in the EU risk assessment community

to liaise with the EFSA Data Collection Scientific Networks to share the outcomes of the Interim Report on the Activities of the Task Force endorsed at the AF meeting

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PROPOSAL ON THE APPLICABILITY OF THE ISA FRAMEWORK RECOMMENDATIONS AND THEIRALIGNMENT WITH THE AFTF RECOMMENDATIONS

AGENDA ITEM 2

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EU INTEROPERABILITY FRAMEWORK

https://ec.europa.eu/isa2/eif_en

The framework gives specific guidance on how to set up interoperable digital public services.

It offers public administrations 47 concrete recommendations on

how to improve governance of their interoperability activities,

establish cross-organisational relationships,

streamline processes supporting end-to-end digital services,

and ensure that both existing and new legislation do not compromise interoperability efforts.

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APPLICABILITY OF THE ISA FRAMEWORKRECOMMENDATIONS

The recommendations from the European Interoperability Framework (EIF) report produced as part of the European Commission’s Interoperability Solutions Administrations (ISA2) programme had been outlined and summarised

The recommendations from the EIF had been grouped the by their relevance to the work of the Task Force

The EIF recommendations that are considered relevant to the work of the group had been aligned to the applicable recommendation(s) from the AF-TF interim report

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NOVA, RAKIP AND ORION: DISCUSSION OF DRAFT REPORTSECTION ON STRATEGIC CONNECTIONS WITH THESEPROJECTS

AGENDA ITEM 3

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DISCUSSION ON ONEHEALTH AND OTHER ONGOINGPROJECTS OF RELEVANCE

RAKIP: Risk Assessment Modelling and Knowledge Integration Platforms

metadata and annotation

open information exchange format

ORION: One health suRveillance Initiative on harmOnization of data collection and interpretation

glossary & definitions

ontologies

NOVA: Novel approaches for design and evaluation of cost-effective surveillance across the food chain

surveillance streams

Permanent contact and follow-up with these (and other relevant) projects is necessary

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DISCUSSION OF DRAFT REPORT SECTION ON DATACAPTURE AT THE POINT OF SAMPLING

AGENDA ITEM 4

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DISCUSSION OF DRAFT REPORT SECTION ON DATACAPTURE AT THE POINT OF SAMPLING

Even though data access and AI assisted processing might be the future, the data have to be generated

Data generation and/or data capture at many points of the process

Planning → embed necessary codes into sampling plans

Sampling → barcodes, NLP

Lab analysis → OCR, NLP

Increase quality, timeliness

Decrease burdens for sampling officers

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DISCUSSION OF DRAFT REPORT SECTION ON DATAQUALITY DIMENSION OF TIMELINESS AND THE ROLE OF FOCAL POINTS IN DATA QUALITY

AGENDA ITEM 5

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ROLE OF FOCAL POINTS IN DATA COLLECTION

New focal point agreement: FPs to liaise with data providers (voluntary task)

What would be the role of Focal Points in data related issues?

Collaboration at national level

FPs as enablers for national discussions on data

Discussion already initiated at FP network

Chemical Network meeting in March: also a discussion needed

Specifying the tasks would be necessary

Relation to other roles/networks has to be defined

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DISCUSSION ON NEXT STEPS ON REPORT SECTION ONDATA MODELLING

AGENDA ITEM 5

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DISCUSSION ON DATA MODELLING

short and log term proposals were drafted

e.g. short term: For new reporting duties recognize and use well developed already existing data formats

e.g. long term: Invest in collaborations with international institutions finding a potential higher standard for the exchange of data (comparable catalogue forms, etc.) and in the same time, invest in transfer/bridging tables

quick wins are to be worked out

a data governance section will be added

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DISCUSSION ON NEXT STEPS ON REPORT SECTION ON IT ARCHITECTURE

AGENDA ITEM 7

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IT ARCHITECTURE IMPORTANT CONSIDERATIONS

Defining IT architecture in a strategic approach

Setting the exact scope of IT architecture section of the report

Discussion on national vs EFSA (EU) priorities

Discussion on the level of details (especially for AI)

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DISCUSSION ON THE VISION OF A FUTURE DESIRED SYSTEM

AGENDA ITEM 8

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DISCUSSION ON THE VISION OF A FUTURE DESIREDSYSTEM

First identify the data you need for analysis/RA, then the source and not vice versa

For computa�onal science: use available data → iden�fy emerging pa�erns → iden�fy new data needs → re-iterate

Use other external data as well

Data analysis methodologies influence our thinking on data

Data lifecycle management

Needs capacity building → link to DG on CB

Constant re-thinking our approach to data is needed as data science and food science converges

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NEXT STEPS

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NEXT STEPS

First draft of the final report to be ready by the end of March 2020

to have a final report for June 2020

to feed EFSA strategy

Next meeting: 31 March 2020 in Osijek, Croatia, before 75th AF

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THANK YOU!CONTACTÁkos Jó[email protected]

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