# data[].attributes.body
Produce a systematic search strategy

# data[].attributes.body
Defend the quality and suitability of a search strategy e.g., PRESS initiative

# data[].attributes.body
Critically evaluate a search process and the outcomes generated with peers

# data[].attributes.body
Analyse the quality of a search strategy e.g., PRESS initiative

# data[].attributes.body
Screen references for relevance based on predefined inclusion and exclusion criteria

# data[].attributes.body
Appraise the value of filtered and synthesised evidence sources

# data[].attributes.body
Use database alerts to keep 'up to date' with emerging evidence

# data[].attributes.body
Explain the rationale for the ranking of different study designs on evidence hierarchies aligned to different types of questions

# data[].attributes.body
Explain the advantages of using filtered or pre-prepared* resources

# data[].attributes.body
Identify the concepts that will form the basis of the search strategy relating this to the PICO* question.

# data[].attributes.body
Identify appropriate search terms/key words and synonyms for each search concept

# data[].attributes.body
Distinguish between the major sources of evidence:

research information (journal articles, research databases, databases of filtered or pre-prepared resources / evidence); clinical expertise and guidelines; grey literature, process/audit data; patient experience data

# data[].attributes.body
Explain the purpose of exclusion and inclusion criteria

# data[].attributes.body
Outline major sources of evidence: e.g., research information (journal articles, research databases, databases of filtered or pre-prepared resources / evidence); clinical expertise and guidelines; grey literature, process/audit data; patient experience data.

# data[].attributes.body
State the differences in broad topics covered by major research databases

# data[].attributes.body
List the common study designs used in research

# data[].attributes.body
Outline the principles of common study designs

# data[].attributes.body
Recognise that different evidence hierarchies are appropriate for different types of questions

# data[].attributes.body
Describe the terms exclusion and inclusion criteria and limiters

# data[].attributes.body
Describe the steps of an effective search strategy

# data[].attributes.body
Describe the use of software tools in the management of retrieved references e.g., Covidence and Endnote

# data[].attributes.body
Describe the tools used to create an effective search strategy such as search terms/key words, Boolean operators, truncations, search filters, subject terms, MeSH/Subject headings etc.

# data[].attributes.body
Describe how to obtain full text of articles and other sources of evidence

# data[].attributes.body
Create a database account to enable saving of search strategy

# data[].attributes.body
Construct a search strategy effectively applying search terms, Boolean operators, truncation, and search filters to generate an efficient search

# data[].attributes.body
Carry out an appropriate search strategy using e.g., PICO* to address a clinical question

# data[].attributes.body
Develop suitable inclusion and exclusion criteria for refining a search

# data[].attributes.body
Adapt, apply, test, refine and record a search strategy to specific databases and repositories and for specific purposes

# data[].attributes.body
Export references to reference management tools e.g., EndNote, Covidence

# data[].attributes.body
Retrieve full text of articles and other sources of evidence