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* 1. Please indicate your broad area of expertise or research (select one field that provides the best description).

Physics

Materials Science

Chemistry

Earth and Planetary Science

Paleontology

Atmospheric and/or Ocean Science

Astronomy and Astrophysics

Ecology

Evolutionary Biology

Biology, general

Biochemistry

Genetics

Developmental Biology

Immunology

Neuroscience

Plant Biology

Cell Biology

Social Sciences

Economics

Anthropology and/or Archeology

Medicine

Engineering

Mathematics and/or Computer Science

Other

Please specify

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* 2. I conduct research or work at...

A government lab or agency

A funding agency

A university lab or department

A private company

A non-profit organization or society

Other (please specify)

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* 3. How many scientific papers have you authored or co-authored?

None

1-10

11-50

51-100

>100

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* 4. How often do you access or use data sets from the published literature, directly from papers or supplements, for your original research papers (not review papers)?

I use such data in most (>90%) of my research papers.

Much more than half of my papers

half or less of my papers

Rarely, most of my papers are just reporting data that I generated

Never

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* 5. How often do you access or use data sets from archival databases or repositories for your original research papers?

Often, I use such data in many of my research papers.

Much more than half of my papers

About half of my papers.

Rarely

Never

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* 6. If you use such data frequently, what are the main archives you use (e.g., Genbank, PDB, an instrument, telescope, or mission data archive, etc.)

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* 7. Have you asked colleagues for data related to their published papers in the past 5 years?

No, never

Yes, once

Yes, 2-5 times

Yes, 6-10 times

Often (>10 times); I make use of such data regularly

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* 8. If you answered yes to the previous question, has the appropriate data been provided?

Yes, always

Yes, usually

Yes, about half the time

Yes, but not often or not readily.

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* 9. What is the size of the largest data set that you have used or generated in your research (for a single paper/project)?

More than 1000 gigabytes (>1 terabyte)

100-1000 gigabytes

1-100 gigabytes

<1 gigabyte

Not applicable, we don't produce data

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* 10. Where do you archive most of the data generated in your lab or for your research?

It is not stored

It is stored locally, in our lab on computers or disks

On servers at our university or business that are backed up

A community data repository

Other

Please specify

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* 11. For how long do you store most of the data generated in your lab or for your research associated with your publications? (or if you think of a paper you wrote x years ago, could you access all the raw data, code, and materials associated with it).

We discard much of it promptly

<1 year

1-5 years

6-10 years

>10 years

We store and archive most of the data permanently

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* 12. How important are these problems to data access or sharing in your field?

	The most important issue (one answer only)	Very important	Moderately important	Not very important	not important or not relevant
Privacy concerns or private data	Privacy concerns or private data The most important issue (one answer only)	Privacy concerns or private data Very important	Privacy concerns or private data Moderately important	Privacy concerns or private data Not very important	Privacy concerns or private data not important or not relevant
Lack of standardization of data	Lack of standardization of data The most important issue (one answer only)	Lack of standardization of data Very important	Lack of standardization of data Moderately important	Lack of standardization of data Not very important	Lack of standardization of data not important or not relevant
Lack of standard metadata describing the data	Lack of standard metadata describing the data The most important issue (one answer only)	Lack of standard metadata describing the data Very important	Lack of standard metadata describing the data Moderately important	Lack of standard metadata describing the data Not very important	Lack of standard metadata describing the data not important or not relevant
Lack of curated community databases	Lack of curated community databases The most important issue (one answer only)	Lack of curated community databases Very important	Lack of curated community databases Moderately important	Lack of curated community databases Not very important	Lack of curated community databases not important or not relevant
Lack of storage (the data we collect are too massive to archive)	Lack of storage (the data we collect are too massive to archive) The most important issue (one answer only)	Lack of storage (the data we collect are too massive to archive) Very important	Lack of storage (the data we collect are too massive to archive) Moderately important	Lack of storage (the data we collect are too massive to archive) Not very important	Lack of storage (the data we collect are too massive to archive) not important or not relevant
Lack of enforcement by journals or funding agencies	Lack of enforcement by journals or funding agencies The most important issue (one answer only)	Lack of enforcement by journals or funding agencies Very important	Lack of enforcement by journals or funding agencies Moderately important	Lack of enforcement by journals or funding agencies Not very important	Lack of enforcement by journals or funding agencies not important or not relevant
Other researchers who refuse to share data after publication	Other researchers who refuse to share data after publication The most important issue (one answer only)	Other researchers who refuse to share data after publication Very important	Other researchers who refuse to share data after publication Moderately important	Other researchers who refuse to share data after publication Not very important	Other researchers who refuse to share data after publication not important or not relevant
Other	Other The most important issue (one answer only)	Other Very important	Other Moderately important	Other Not very important	Other not important or not relevant

Please specify

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* 13. Is there specific funding for your lab or research group for data curation?

Yes, and it is sufficient

Yes, but it doesn't cover some of the costs

Yes, but it is not nearly sufficient

No, there is no funding dedicated to data archiving or curation

Not applicable, we don't produce data that require archiving

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* 14. Do you have the necessary expertise in your lab/group to analyze all your data in the way you want?

Yes, our lab has hired people specifically skilled in data analysis

Yes, we collaborate with people with data analysis skills

No, our research is slowed by a lack of people able to data analysis

Not applicable; we don't generate complex data

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* 1. Please indicate your broad area of expertise or research (select one field that provides the best description).

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* 2. I conduct research or work at...

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* 3. How many scientific papers have you authored or co-authored?

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* 4. How often do you access or use data sets from the published literature, directly from papers or supplements, for your original research papers (not review papers)?

Question Title

* 5. How often do you access or use data sets from archival databases or repositories for your original research papers?

Question Title

* 6. If you use such data frequently, what are the main archives you use (e.g., Genbank, PDB, an instrument, telescope, or mission data archive, etc.)

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* 7. Have you asked colleagues for data related to their published papers in the past 5 years?

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* 8. If you answered yes to the previous question, has the appropriate data been provided?

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* 9. What is the size of the largest data set that you have used or generated in your research (for a single paper/project)?

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* 10. Where do you archive most of the data generated in your lab or for your research?

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* 11. For how long do you store most of the data generated in your lab or for your research associated with your publications? (or if you think of a paper you wrote x years ago, could you access all the raw data, code, and materials associated with it).

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* 12. How important are these problems to data access or sharing in your field?

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* 13. Is there specific funding for your lab or research group for data curation?

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* 14. Do you have the necessary expertise in your lab/group to analyze all your data in the way you want?

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* 15. Please provide any additional thoughts or comments on this issue. Thank you for your help.