1. Documentation of statistics
ESTP: Disseminations and Communication-Introductory course
Celia Santos Sánchez
INE-Spain
THE CONTRACTOR IS ACTING UNDER A FRAMEWORK CONTRACT CONCLUDED WITH THE COMMISSION

2. INDEX Metadata: standards and classifications
Documenting for all type of users: different users, different needs. Pros and cons of extensive documentation
ESMS: better quality in the information presented-INE Spain case

3. European Statistics are presented in a clear and understandable form, released in a suitable and convenient manner, available and accessible on an impartial basis with supporting metadata and guidance.
Indicators
15.1:Statistics and the corresponding metadata are presented, and archived, in a form that facilitates proper interpretation and meaningful comparisons.
15.2:Dissemination services use modern information and communication technology and, if appropriate, traditional hard copy.
15.3:Custom-designed analyses are provided when feasible and the public is informed.
15.4:Access to microdata is allowed for research purposes and is subject to specific rules or protocols.
15.5:Metadata are documented according to standardised metadata systems.
15.6:Users are kept informed about the methodology of statistical processes including the use of administrative data.
15.7:Users are kept informed about the quality of statistical outputs with respect to the quality criteria for European Statistics.

4. 1. What is metadata, why we need it?

5. 1. What is metadata?
Metadata are systematic, descriptive information about data content and organisation
Provide information on the concepts, sources, and methods underlying the data, and therefore, help users to understand and assess the characteristics of the data. Statistical compliers should provide metadata to their users because metadata are a integral part of the publication of statistics (IMF, Balance of payments)

6. 1, What is STATISTICAL METADATA
Data about statistical data
Comprise data and other documentation that describe objects in a formalised way (economic Commission for Europe of the United Nations (UNECE), “terminology on Statistical Metadata)
They provide information on data, and about processes of producing and using data. Statistical metadata describe statistical data and-to some extent-processes and tools involved in the production and usage of statistical data (UNECE, “ Guidelines for the modelling of Statistical Data and Metadata”, 1995)

7. 1. Types of Metadata
Metadata needed to search for and display data: Structural metadata
Metadata that give more information on definitions, methodologies, processes and quality Reference Metadata

8. 1. Metadata: standards and classifications

9. Metadata: standards and classifications

10. 2. Documenting for all type of users

11. 2. ESAC proposal

12. 2. ESAC proposal

13. 3. Reference metadata
It shall be understood as the information that accompanies statistical operations and allows knowing the contents, methodologies and aspects of quality associated with each statistical operation in a systematic, homogeneous and structured way

14. 3. Standardised methodologies project
ES: 1st normalised reference metadata system the Inventory of Statistical Operations of the State Administration (ISO). (

15. 3. ESMS: Reference metadata
2009: the European Commission approved the recommendation regarding Euro-SDMX Metadata Structure (ESMS).
Annex includes the structure of the reference metadata:
21 main concepts that are collected using 61 sub-concepts.
These 21 concepts can be grouped into 5 large theme groups;
presentation of the data,
governance,
quality,
dissemination and
statistical production process. (

16. 3. Standardised methodologies project
2010: Metadata system integrated and convergent with the European ESMS project
Standardised Methodological Report
Implementation project: 2013

17. Relevant aspects: Quality
ESMS
1 Contact
2 Metadata update
3 Statistical presentation
4 Unit of measure
5 Reference period
6 Institutional mandate
7 Confidentiality
8 Release policy
9 Frecuency of dissemination
10 Dissemination format
11 Accessibility of documentation
12 Quality management
13 Relevance
14 Accuracy and raliability
15 Timelliness and punctuality
16 Comparability
17 Coherence
18 Cost and burden
19 Data revision
20 Statistical processing
21 Comments
Quality report

18. Relevant aspects: Governance
ESMS
1 Contact
2 Metadata update
3 Statistical presentation
4 Unit of measure
5 Reference period
6 Institutional mandate
7 Confidentiality
8 Release policy
9 Frecuency of dissemination
10 Dissemination format
11 Accessibility of documentation
12 Quality management
13 Relevance
14 Accuracy and raliability
15 Timelliness and punctuality
16 Comparability
17 Coherence
18 Cost and burden
19 Data revision
20 Statistical processing
21 Comments
Governance

19. Relevant aspects: Information Production process
ESMS
1 Contact
2 Metadata update
3 Statistical presentation
4 Unit of measure
5 Reference period
6 Institutional mandate
7 Confidentiality
8 Release policy
9 Frecuency of dissemination
10 Dissemination format
11 Accessibility of documentation
12 Quality management
13 Relevance
14 Accuracy and raliability
15 Timelliness and punctuality
16 Comparability
17 Coherence
18 Cost and burden
19 Data revision
20 Statistical processing
21 Comments
GSBPM

20. Relevant aspects: Normalisation
ESMS
Variables
Concepts
Units
1 Contact
2 Metadata update
3 Statistical presentation
4 Unit of measure
5 Reference period
6 Institutional mandate
7 Confidentiality
8 Release policy
9 Frecuency of dissemination
10 Dissemination format
11 Accessibility of documentation
12 Quality management
13 Relevance
14 Accuracy and raliability
15 Timelliness and punctuality
16 Comparability
17 Coherence
18 Cost and burden
19 Data revision
20 Statistical processing
21 Comments
Process:
Seasonal adjustment
… …

21. Disseminating the ESMS

24. Has your NSI implement the ESMS?

25. Thank you!