1. WP4/T4.1 D4.1 Detailed Report on Indicators

2. Overall stragtegy Case studies Types of networks Types of impact indicators (Network) Model definition Algorithm (indicators on models) WP2 Conceptual Model WP4 Indicators

3. General description Development of novel structural indicatorsmeasures 1)The measures are to be capable of grasping the structural impact of an individuals’ activity. The indicators should incorporate the state-of-the art developments in social network analysis. 2)The measures should be able to account for multiple aspects of a researcher’s impact. Indicators should be robust, scalable, parameterizable, and adjustable to different evaluation purposes. 3)The measures should mirror effects in a broader domain than that of the scholarly community. 4)Indicators should either form a toolkit with elements adapted to the SISOB use cases, or highly flexible measures applicable to and being expressive for multiple domains.

4. Structure T4.1 Define and classify the objectives to measure related to social aspects and levels - Study, detect and categorize the social aspects to be measured - Explore state-of-the art perspectives via mapping the literature on the topic D4.1 Report of indicators considering social aspects and their: Detailed report on indicators, considering the objectives to measure related to social aspects and levels. (M6)

5. General principles (cf. Richard, WP2) D4.1 can ideally be conceived as a comprehensive requirement analysis. In particular: Considering the concepts of impact assessment and evaluation in R&D policy research Mapping existing approaches In the three given domain (case studies) Analyzing them against the SISOB vision on monitoring science Identifying missing dimensions and related variables Measures? (Depends on scope of D4.1) Mapping Comparison

6. Relation to D2.1 Overlap in Mapping existing approaches BUT… D2.1: Review of existing methodological frameworks SISOB is to utilize and elaborate on (mostly SNA) D4.1: Review of existing indicators and measures SISOB is to utilize and elaborate on: domain-specific SNA models (case studies) From SNA models: „reverse egnineering” to obtain dimensions

7. MTA to D4.1 1. Use of SNA-related indicators in science policy studies: mapping the literature 1.1 Identitication of dimensions of existing measurements 1.2 Providing a system for existing indicators, based on 1.2 Bibliometric study: macro-level overview Extracting dimensions and relation to Conceptual Model

8. Tasks and partners in D4.1 SectionRelated Case studyContributors 1. Use of SNA-related indicators in science policy studies: mapping the literature 1.1 Identi f ication of dimensions of existing measurements 1.2 Providing a system for existing indicators, based on 1.1 AllMTA, RICYT, UMA 2. Mobility indicators: Analysis of mobility specific SNA-related indicators and their use in mobility research 2.1 Mapping mobility indicators in existing SNA-applications 2.2 Requirement analysis of improving measurements and indicators based on 1.1 in accordance with the conceptual model MobilityFR, CICE 3. Knowledge sharing dimensions and indicators 1.1 Systematizing SNA-models and respective measurements and indicators 1.2 Requirement analysis of improving measurements and indicators based on 1.1 in accordance with the conceptual model Knowledge sharing UDE, CICE 4. Indicators for the impacts of the peer- review process 4.1 Specification/formal definition of potential impacts to be modelled 4.2 Requirement analysis based on existing SNA-approaches for identified impacts to be modelled Peer reviewFrontiersIn