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PubMed User Survey
Q1. How do you access PubMed data? (Check all that apply)
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E-Utilities (the API)
FTP
PubMed web site at www.pubmed.gov
Q2. Why are you using PubMed data (select all that apply)?
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Redistributing within literature retrieval systems (e.g., commercially available system)
Building bibliographic record management systems
Exploring publication, research and/or funding patterns
Creating social networks for researchers
Building classification systems
Building medical knowledge management systems
Finding or defining relationships between specific biological entities or phenomena
Text or data mining research
Other (please specify): ________________________________________________
Q3. What is the subject category of your research or activity (select all that apply)?
o
Basic Biology (e.g., Genetics, Biochemistry, Molecular Biology, Microbiology, Cell
Biology, Embryology, Invertebrate Biology, Anatomy, Physiology…)
o Clinical Applications (e.g., Health Sciences, Nursing, Veterinary Science)
o Computational Biology, Bioinformatics, Health informatics, & Biomedical informatics
o Computer or Information Science
o Pharmacology & Toxicology
o Public Health or Health Policy
o Biotechnology
o Plant Biology, Ecology & Environmental Biology
o Other (please specify): ________________________________________________
Q4. Thinking of your highest priority project using PubMed, what is the goal of your project,
overall (e.g., finding drug reactions, improving literature search, finding connections between
genotypes and phenotypes)?
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Q5. For what type of organization are you doing this work?
o Biotechnology company
o Pharmaceutical company
o Software development company
o Marketing research company
o Database publisher or vendor
o Government
o Academic institution
o Not-for-profit
o Individual
o Other (please specify) ________________________________________________
Q6. Please choose which of the following attributes of Medical Subject Headings (MeSH) within
individual PubMed records that you use in your work (Please choose up to three):
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Subheadings (e.g, /adverse effects, /genetics)
Major topic designation
Study participant descriptors (“check tags” like male, female, human, pregnancy, etc.)
Substances (chemicals like proteins and drugs; including both MeSH preferred terms
and supplementary concepts)
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Publication Formats (e.g., letter, review, editorial)
Study Characteristics (e.g., clinical trial, case report, twin study)
Support of Research (e.g., Research Support, U.S. Government)
Q7. PubMed currently links citation data to information related to the publication. These links are
not always included in the XML of the PubMed record. How valuable to you are/would these
links be from PubMed records to the following publication-related information?
Not at all
valuable
Summaries of
the research
results (e.g.,
ClinicalTrials.gov
record)
Other
supplemental
data from the
article such as
figshare, Dryad
(e.g. Secondary
Source ID in
PubMed record)
Information
about the author
(e.g., ORCID or
links to author
profiles)
Other (please
specify)
Slightly
valuable
Moderately
valuable
Very
valuable
Extremely
valuable
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
Q8. PubMed records are linked to additional information about the topics discussed in the
article, often in other NCBI databases. These links are generally not included in the PubMed
XML but are sometimes available for API users via the eLink service. How valuable would the
following topic-related information links be to you?
Not at all
valuable
Terminology
(e.g., MeSH)
for main
concepts
discussed in
the article
Related
articles in
PubMed
Gene and
protein
information
and/or their
associated
sequence
data
Chemical and
drug
information
Disease and
syndrome
information
Genetic
variant
information
Pathways
data
Taxonomy
information
for species
mentioned in
the article
Slightly
valuable
Moderately
valuable
Very
valuable
Extremely
valuable
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
o
Q9. What metadata elements not currently available in PubMed records would you like us to
consider for the future as separate searchable fields (e.g., institutional ID, journal categories,
cohort size, unique gene identifier, arXiv ID)?
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Q10. How can we make the PubMed data more interoperable with other data sets (e.g.,
improvements related to the Journal Article Tag Suite, terminology or formatting standards)?
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Q11. What would make PubMed data easier to access? For example, what would make the EUtilities API or FTP site easier to use?
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Q12. Do you use MeSH files programmatically in processing PubMed data or building a search
system (e.g., do you employ the hierarchy for explosion)?
o Yes
o No
o Don't know if we use this
o Don't know what this is
Q13. How satisfied are you with PubMed data?
o Very Dissatisfied
o Dissatisfied
o Neutral
o Satisfied
o Very Satisfied
Q14. On a scale from 0-10, how likely are you to recommend using PubMed data to a friend or
colleague?
o0
o1
o2
o3
o4
o5
o6
o7
o8
o9
o 10
Q15. Do you have any other comments about how we could improve PubMed data?
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| File Type | application/pdf |
| File Title | PubMed API Survey |
| Author | Qualtrics |
| File Modified | 2019-01-08 |
| File Created | 2019-01-08 |