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Saskia Ossen, and Piet Daas Introduction in the Source and Metadata hyperdimension.

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Presentation on theme: "Saskia Ossen, and Piet Daas Introduction in the Source and Metadata hyperdimension."— Presentation transcript:

1 Saskia Ossen, and Piet Daas Introduction in the Source and Metadata hyperdimension

2 Content of this module -Introduction in Source and Metadata hyperdimension -Introduction of quality checklist Theory and practical examples Group exercise in which groups apply the checklist to an “imaginary” source 2

3 Quality checklist 3 The quality checklist: -Can be used to evaluate the Source and Metadata hyperdimensions -Contains 34 indicators 51 questions (measurement methods) -Takes around 2 hours per data source -Findings are expressed at the dimensional level 5 for Source, 4 for Metadata -Can be found at: http://www.cbs.nl/nl- NL/menu/methoden/onderzoek- methoden/discussionpapers/archief/2009/2009-42-x10- pub.htmhttp://www.cbs.nl/nl- NL/menu/methoden/onderzoek- methoden/discussionpapers/archief/2009/2009-42-x10- pub.htm

4 Source hyperdimension 4 SOURCE SOURCE: - Focus on data source as a whole - Contact information related - Delivery related aspects - and more

5 Evaluation of Source hyperdimension 5 -Here the data source is viewed upon as a file delivered by the data source holder to the NSI -Dimensions (5): Supplier Contact information, purpose of use Relevance NSI use, need, effect on response burden Privacy and security Legal base, confidentiality, security Delivery Costs, arrangements, format, selection Procedures Collection, changes, feedback, fall-back scenario

6 +, good; o, reasonable; -, poor; ?, unclear IPA: Insurance Policy records Administration; SFR: Student Finance Register; CWI: register of Centre for Work and Income; ERR: Exam Results Register; NCP: National Car Pass register; PR: Persons Register; VAT: Value Added Tax data; ICP: Intra-Community Product transactions (EU-countries); NHR: New Housing register; Practical example, Source hyperdimension 6

7 ‐ CWI scores ‘poor’ in Delivery Result of delivery issues (delays) These need to be solved (and have been solved) ‐ VAT scores low in Procedures Back-up scenario related, what to do when no or only part of the data is being delivered? First research efforts purely focused on direct use, currently the back-up options are studied ‐ Other data sources Quite OK (there are always some things that can be improved) Practical example, Source hyperdimension 7

8 8 8 METADATA: Focuses on the (availability of the) information required to understand and use the data in the data source Metadata hyperdimension

9 -Focuses on the conceptual metadata quality components of the data source -Dimensions (4): Clarity Of units, variables, time definitions and changes Comparability Of units, variables, and time with those of NSI Unique keys Presence, similarity to NSI, and alternatives Data treatment Familiarity with checks and modifications (by data source holder) Evaluation of Metadata hyperdimension 9

10 Must have a specific use in mind! +, good; o, reasonable; -, poor; ?, unclear Practical example, Metadata hyperdimension IPA: Insurance Policy records Administration; SFR: Student Finance Register; CWI: register of Centre for Work and Income; ERR: Exam Results Register; NCP: National Car Pass register; PR: Persons Register; VAT: Value Added Tax data; ICP: Intra-Community Product transactions (EU-countries); NHR: New Housing register; 10

11 ‐ CWI scores ‘poor’ in Clarity Definitions used by data source holder are difficult to understand ‐ CWI scores ‘poor’ in Comparability Because of definitions that are incomparable (and inconvertible) to the once used by Statistics Netherlands ‐ Other data sources ? for Data treatment indicates that processing by data source keeper needs more attention! (has improved) Others are quite OK (there are always some things that can be improved) Practical example, Metadata hyperdimension 11

12 Conclusions about the checklist – Checklist as a tool: ‐ Good way to assist the user, quite fast Quality information on a basic but essential (meta-)level Prevents users from missing important quality components ‐ Independent of the actual delivery of the data! Nice feature, adds flexibility A way to pre-evaluate data sources 12

13 General remarks / tips – Use checklist to identify problems in Source and Metadata hyperdimension Do not immediately dive into the data! – Problems in negative scoring dimensions need to be solved before studying the quality of the data – Other less problematic issues can be solved later (at less hectic times) – Considering the limited time needed to determine Source and Metadata it is recommended to always start with these Repeat when needed 13

14 Questions? Any questions or comments? 14

15 Introduction in exercise – Let’s try to interpret the findings of a Dutch ‘checklist’ 15

16 Introduction in exercise – Participants will be split into groups and each group is provided with: The Source and Metadata evaluation results for an administrative data source An intended use – Each group will be asked to discuss: ‐ whether the source could be used for the purpose intended If yes, why is everything OK? If not, what is the problem(s) that prevents its use and how can it be solved? 16


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