19 research outputs found
Efficient fault ride-through scheme for three phase voltage source inverter-interfaced distributed generation using DC link adjustable resistive type fault current limiter
AQbD-Oriented Development of a New LC Method for Simultaneous Determination of Telmisartan and Its Impurities
Accuracy of single-jet water meters during filling of the pipe network in intermittent water supply
The HONEYPOT randomized controlled trial: statistical analysis plan
Background: The HONEYPOT study is a multicenter, open-label, blinded-outcome, randomized controlled trial designed to determine whether, compared with standard topical application of mupirocin for nasal staphylococcal carriage, exit-site application of antibacterial honey reduces the rate of catheter-associated infections in peritoneal dialysis patients
Development and validation of a new isocratic RP-HPLC method for simultaneous determination of sodium metabisulfite and sodium benzoate in pharmaceutical formulation
Simplified Controlled Studies in New Regions for Safety Concern Arising From Using Foreign Safety Data
Experimental Design Approach for Selective Separation of Vilazodone HCl and Its Degradants by LC-PDA and Characterization of Major Degradants by LC/QTOFāMS/MS
Issues in the development of open access to research data
This paper explores key issues in the development of open access to research
data. The use of digital means for developing, storing and manipulating data is
creating a focus on ādata-driven scienceā. One aspect of this focus is the
development of āopen accessā to research data. Open access to research data
refers to the way in which various types of data are openly available to public
and private stakeholders, user communities and citizens. Open access to
research data, however, involves more than simply providing easier and wider
access to data for potential user groups. The development of open access
requires attention to the ways data are considered in different areas of
research. We identify how open access is being unevenly developed across the
research environment and the consequences this has in terms of generating data
gaps. Data gaps refer to the way data becomes detached from published
conclusions. To address these issues, we examine four main areas in developing
open access to research data: stakeholder roles and values; technological
requirements for managing and sharing data; legal and ethical regulations and
procedures; institutional roles and policy frameworks. We conclude that
problems of variability and consistency across the open access ecosystem need
to be addressed within and between these areas to ensure that risks surrounding
a data gap are managed in open access