This book serves as proof that there are plenty of effective ways to provide data services in an academic environment and that there can never be a one-size-fits-all approach. It is still valuable, however, to look closely at other\u27s service models--to learn from successes, to borrow concepts and metaphors from other realms, and to think about one\u27s own services through new lenses. A service model is a framework used to describe and understand the who, what, where, when, and how of a service from different stakeholders\u27 perspectives; it can serve as a useful tool for developing and improving data services to best meet the needs of a community
Objective: In light of academic libraries expanding the data services they offer, this article hopes...
This panel session will explore the issues relating to providing data services within a library res...
As the center of gravity in scholarly communication shifts from journal papers to research datasets,...
Purpose – The purpose of this paper is to describe how the authors gained a better understanding of ...
There is a scarcity of practical guidance for developing data services in an academic library. Data ...
Study about research data services in academic library settings (America and Europe). The aim of our...
There is a scarcity of practical guidance for developing data services in an academic library. Data ...
Objective: This paper describes three different institutional experiences in developing research dat...
Princeton University Library, through its Data and Statistical Services (DSS) unit, goes further tha...
Purpose A major development in academic libraries in the last decade has been recognition of the ne...
It would be beneficial for the research and researcher that the data would be recognised as a concre...
The shift to quantitative research methods in social science disciplines is not news in today’s acad...
Data services, though a longstanding specialization, is a fast-growing and in-demand niche in the ac...
JESLIB Editor Elaine R. Martin introduces the articles in Volume 1, Issue 3 and discusses how these ...
The research landscape is changing, with key global research funders now requiring institutions to d...
Objective: In light of academic libraries expanding the data services they offer, this article hopes...
This panel session will explore the issues relating to providing data services within a library res...
As the center of gravity in scholarly communication shifts from journal papers to research datasets,...
Purpose – The purpose of this paper is to describe how the authors gained a better understanding of ...
There is a scarcity of practical guidance for developing data services in an academic library. Data ...
Study about research data services in academic library settings (America and Europe). The aim of our...
There is a scarcity of practical guidance for developing data services in an academic library. Data ...
Objective: This paper describes three different institutional experiences in developing research dat...
Princeton University Library, through its Data and Statistical Services (DSS) unit, goes further tha...
Purpose A major development in academic libraries in the last decade has been recognition of the ne...
It would be beneficial for the research and researcher that the data would be recognised as a concre...
The shift to quantitative research methods in social science disciplines is not news in today’s acad...
Data services, though a longstanding specialization, is a fast-growing and in-demand niche in the ac...
JESLIB Editor Elaine R. Martin introduces the articles in Volume 1, Issue 3 and discusses how these ...
The research landscape is changing, with key global research funders now requiring institutions to d...
Objective: In light of academic libraries expanding the data services they offer, this article hopes...
This panel session will explore the issues relating to providing data services within a library res...
As the center of gravity in scholarly communication shifts from journal papers to research datasets,...