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The Money Market Statistical Reporting (MMSR) is a transaction-by-transaction dataset about the Euro money market. The collection of data is based on European Central Bank (ECB) regulation. Under this regulation, the 50 biggest Monetary Financial Institutes (MFIs) in the Eurozone are obliged to report money market transactions. The Deutsche Bundesbank provides access to the German subset of the MMSR. In total, this subset currently contains 115 Reporting Agents (including 14 MFIs based upon the ECB criterion).
Reporting agents are obliged to report to Deutsche Bundesbank all money market transactions conducted with financial corporations (except central banks where the transaction is not for investment purposes), general government or non-financial corporations classified as "wholesale" according to the Basel III LCR framework. Data is available from July 2016 onwards. Starting in October 2019, the MMSR data will be the base for the Euro Short-Term Rate which represents a new reference rate index by the Eurosystem.

Data from online survey among authors of the social sciences using social media data for their research and having published journal articles based on social media data between 2018 and 2021. The questionnaire consists of several closed and open-ended questions in seven main sections: a) data acquisition and use of secondary data, b) past data sharing behaviour, c) data sharing intentions, d) data documentation, e) use of other forms of data, f) personality and g) demography. The questions to measure factors that influence researchers' data sharing decisions were designed using the Theory of Planned Behavior (Icek Ajzen).

Data from online survey among authors of the social sciences using social media data for their research and having published journal articles based on social media data between 2018 and 2021. The questionnaire consists of several closed and open-ended questions in seven main sections: a) data acquisition and use of secondary data, b) past data sharing behaviour, c) data sharing intentions, d) data documentation, e) use of other forms of data, f) personality and g) demography. The questions to measure factors that influence researchers' data sharing decisions were designed using the Theory of Planned Behavior (Icek Ajzen).

Dieser Datensatz stammt aus Studie 1 des ValCom2 Projekts. Das Projekt untersucht die Aktualgenese von Erfolgserwartung und subjektivem Aufgabenwert bei unbekannten Lerninhalten. Es handelt sich um ein experimentelles Survey Design mit einer Randomisierung auf eine von zwei Gruppen (Projektmanagementkursen mit einer mathematischen versus sprachlichen Ausrichtung). Der Fragebogen bestand aus Fragen zur Demographie, schul- und studienfachspezifischer Motivation (Fähigkeitsselbstkonzept, intrinsischer Wert und Anstrengungsüberzeugungen), Motivation bezogen auf den Projektmanagementkurs, Vorwissen zu Studienfächern und zu Projektmanagement, Need For Cognition sowie wahrgenommene Ähnlichkeit zwischen Schul- und Studienfächern bzw. den Projektmanagementkursen.

These interview data are part of the project "Looking for data: information seeking behaviour of survey data users", a study of secondary data users' information-seeking behaviour. The overall goal of this study was to create evidence of actual information practices of users of one particular retrieval system for social science data in order to inform the development of research data infrastructures that facilitate data sharing. In the project, data were collected based on a mixed methods design. The research design included a qualitative study in the form of expert interviews and – building on the results found therein – a quantitative web survey of secondary survey data users. For the qualitative study, expert interviews with six reference persons of a large social science data archive have been conducted. They were interviewed in their role as intermediaries who provide guidance for secondary users of survey data. The knowledge from their reference work was expected to provide a condensed view of goals, practices, and problems of people who are looking for survey data. The anonymized transcripts of these interviews are provided here. They can be reviewed or reused upon request. The survey dataset from the quantitative study of secondary survey data users is downloadable through this data archive after registration. The core result of the Looking for data study is that community involvement plays a pivotal role in survey data seeking. The analyses show that survey data communities are an important determinant in survey data users' information seeking behaviour and that community involvement facilitates data seeking and has the capacity of reducing problems or barriers. The qualitative part of the study was designed and conducted using constructivist grounded theory methodology as introduced by Kathy Charmaz (2014). In line with grounded theory methodology, the interviews did not follow a fixed set of questions, but were conducted based on a guide that included areas of exploration with tentative questions. This interview guide can be obtained together with the transcript. For the Looking for data project, the data were coded and scrutinized by constant comparison, as proposed by grounded theory methodology. This analysis resulted in core categories that make up the "theory of problem-solving by community involvement". This theory was exemplified in the quantitative part of the study. For this exemplification, the following hypotheses were drawn from the qualitative study: (1) The data seeking hypotheses: (1a) When looking for data, information seeking through personal contact is used more often than impersonal ways of information seeking. (1b) Ways of information seeking (personal or impersonal) differ with experience. (2) The experience hypotheses: (2a) Experience is positively correlated with having ambitious goals. (2b) Experience is positively correlated with having more advanced requirements for data. (2c) Experience is positively correlated with having more specific problems with data. (3) The community involvement hypothesis: Experience is positively correlated with community involvement. (4) The problem solving hypothesis: Community involvement is positively correlated with problem solving strategies that require personal interactions.

For more than twenty years, the topic of the use of evaluations has been one of the central topics of the theoretical discussion in evaluation science. In recent times, this discourse has been shaped by the development of an integrated theory of the use and influence of evaluations. Empirical studies investigating the importance of influencing factors on use have been pushed into the background. The growing gap between increasingly differentiated theory development on the one hand and narrow empirical basis on the other hand applies in particular to the analysis of the influence of institutional arrangements in the planning and implementation of evaluations on their use. Should evaluations, in order to be useful, for example, aim for close contact between evaluators and those being evaluated? Or does a high degree of independence between the two actors in the evaluation process tend to lead to the use of evaluation results in practice? The few published findings on these and similar questions are usually based on specific practical experience. Systematic studies are lacking. The Swiss National Science Foundation therefore financed a study carried out by Andreas Balthasar, which intended to close this gap. It examines the influence of the institutional arrangement in which an evaluation is carried out on its use.