The phrase "lack of baseline data" is a correct and usable phrase in written English.
It can be used in any context where you are referring to a lack of data or information that could serve as a reference point or starting point for comparison. For example, "Due to a lack of baseline data, it is difficult to gauge the full impact of this project."
This was reached using standard GRADE criteria, including a high risk of selection bias (due to inadequate methods of generating the random sequence and concealing treatment allocation, and the lack of baseline data), and the statistical uncertainty given that the result did not reach standard levels of statistical significance (95%).
Results indicate more extensive research in education and nursing as compared with other fields, a lack of baseline data gathering for comparison, a reliance on a limited number of data-gathering techniques, and a tendency toward studying alumni over current students.
The lack of baseline data is another commonly described issue when describing health impacts and evaluate disaster response interventions [13, 40].
Importantly, prospectively evaluating the impact of an e-checklist on patient care measures over time would address identified limitations and gaps in the current literature: lack of compliance measurement with checklists and related care processes, lack of baseline data for comparisons, retrospective study designs, small or unknown sample sizes, and a paucity of validity testing [11].
"In many countries where armed conflict occurs," she said, "there is a lack of baseline data.
The public debate over baiting sharks for marine tourism is largely based on inference, opinion and anecdote, primarily due to a lack of baseline data on things such as seasonal cycles and long-term trends in abundance of sharks associated with such activities.
The scientific case against fracking has mounted despite industry secrecy and a lack of baseline data--an assessment of what chemicals existed prior to fracking.
A full account of tourism's environmental impacts is constrained by limited tourism data, confounding of impacts with other coastal developments, lack of baseline information, shifting baselines, and fragmentation of research across disciplines.
In others, post intervention data were expressed in terms of a percentage change compared to baseline data, thus lacking a separate, and, above all, complete description of baseline data.
Other gaps identified included poor availability of baseline data, few monitoring measures, and lack of planning for evaluation needs.
The limitations include the use of baseline data to analyze factors associated with mortality and the lack of data about alcohol use.
