Выдержка
In this paper, We summarize our experience and first results achieved in the context of advanced research evaluation. Striving for research metrics that effectively allow us to predict real opinions about researchers in a variety of scenarios, we conducted two experiments to understand the respective suitability of common indicators, such as the h-index. We concluded that realistic research evaluation is more complex than assumed by those indicators and, hence, may require the specification of even complex evaluation algorithms. While the reconstruction (or reverse engineering) of those algorithms from publicly available data is one of our research goals, in this paper We show how can we enable users to develop their own algorithms with Reseval, our mashup-based research evaluation platform, and how doing so requires dealing with a variety of data management issues that are specific to the domain of research evaluation. Therefore, we also present the main concepts and model of our data access and management solution, the Scientific Resource Space (SRS).
| Язык оригинала | Английский |
|---|---|
| Название основной публикации | SEBD 2011 - Proceedings of the 19th Italian Symposium on Advanced Database Systems |
| Страницы | 203-214 |
| Число страниц | 12 |
| Состояние | Опубликовано - 2011 |
| Опубликовано для внешнего пользования | Да |
| Событие | 19th Italian Symposium on Advanced Database Systems, SEBD 2011 - Maratea, Италия Продолжительность: 26 июн 2011 → 29 июн 2011 |
Конференция
| Конференция | 19th Italian Symposium on Advanced Database Systems, SEBD 2011 |
|---|---|
| Страна | Италия |
| Город | Maratea |
| Период | 26.6.11 → 29.6.11 |
Отпечаток
ASJC Scopus subject areas
- Information Systems
Цитировать
A scientific resource space for advanced research evaluation scenarios. / Parra, Cristhian; Imran, Muhammad; Mirylenka, Daniil; Daniel, Florian; Casati, Fabio; Marchese, Maurizio.
SEBD 2011 - Proceedings of the 19th Italian Symposium on Advanced Database Systems. 2011. стр. 203-214.Результат исследований: Материалы для книги/типы отчетов › Материалы для конференции
}
TY - GEN
T1 - A scientific resource space for advanced research evaluation scenarios
AU - Parra, Cristhian
AU - Imran, Muhammad
AU - Mirylenka, Daniil
AU - Daniel, Florian
AU - Casati, Fabio
AU - Marchese, Maurizio
PY - 2011
Y1 - 2011
N2 - In this paper, We summarize our experience and first results achieved in the context of advanced research evaluation. Striving for research metrics that effectively allow us to predict real opinions about researchers in a variety of scenarios, we conducted two experiments to understand the respective suitability of common indicators, such as the h-index. We concluded that realistic research evaluation is more complex than assumed by those indicators and, hence, may require the specification of even complex evaluation algorithms. While the reconstruction (or reverse engineering) of those algorithms from publicly available data is one of our research goals, in this paper We show how can we enable users to develop their own algorithms with Reseval, our mashup-based research evaluation platform, and how doing so requires dealing with a variety of data management issues that are specific to the domain of research evaluation. Therefore, we also present the main concepts and model of our data access and management solution, the Scientific Resource Space (SRS).
AB - In this paper, We summarize our experience and first results achieved in the context of advanced research evaluation. Striving for research metrics that effectively allow us to predict real opinions about researchers in a variety of scenarios, we conducted two experiments to understand the respective suitability of common indicators, such as the h-index. We concluded that realistic research evaluation is more complex than assumed by those indicators and, hence, may require the specification of even complex evaluation algorithms. While the reconstruction (or reverse engineering) of those algorithms from publicly available data is one of our research goals, in this paper We show how can we enable users to develop their own algorithms with Reseval, our mashup-based research evaluation platform, and how doing so requires dealing with a variety of data management issues that are specific to the domain of research evaluation. Therefore, we also present the main concepts and model of our data access and management solution, the Scientific Resource Space (SRS).
KW - Reputation
KW - Research evaluation
KW - Resource space
KW - Scientific data access and management
UR - http://www.scopus.com/inward/record.url?scp=84873654064&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84873654064&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84873654064
SP - 203
EP - 214
BT - SEBD 2011 - Proceedings of the 19th Italian Symposium on Advanced Database Systems
ER -