To summarize, altmetrics should build on existing statistical and social science methods for developing reliable measures. The draft white paper from the NISO altmetrics project suggests many interesting potential action items, but does not yet incorporate, suggest or reference a framework for systematic definition or evaluation of metrics.Read more about Developing good scholarly (alt)metrics.
Tracking scholarly outputs has always been a part of the academic enterprise. However the dramatic increase in publication and collaboration over the last three decades is driving new, more scaleable approaches. A central challenge to understanding the rapidly growing scholarly universe is the problem of collecting complete and unambiguous data on who (among researchers, scholars, students and other members of the enterprise) has contributed in what ways to what outputs (e.g., articles, data, software, patents) with the support of which institutions (e.g. Read more about Integrating Researcher Identifiers, Funding Identifiers, and Institutional Identifiers