(101, 94)

partly                                                                 2
In general, yes.                                                       1
not a crisis, but there should be more attention given to it           1
paertially                                                             1
i don't know                                                           1
It rather goes with the territory: humans are unpredicatable           1
I would not say crisis, but it can certainly be imroved                1
dependend on the scientific field                                      1
maybe                                                                  1
Crisis is a bad word; better call it issue or room for improvement?    1
Name: Do you think there is a reproducibility crisis in your field of research? [Other], dtype: int64

lack of funding                                                                                                                         1
the technic itself                                                                                                                      1
ignorance of necessity of data management                                                                                               1
Lack of mandatory pre-registration of study protocols, not following reporting guidelines, lack of collaboration, lack of automation    1
type of data that cannot be reproducible                                                                                                1
intrinsic uncertainty                                                                                                                   1
Basic midunderstandings of statistics                                                                                                   1
Patents, Copyright, closed access, etc                                                                                                  1
standardised format for article, preventing suffisiant details to be included                                                           1
Lack of statistical understanding                                                                                                       1
Name: In your experience, what are the factors leading to poor reproducibility? [Other], dtype: int64

A permanent ID for data with correpsonding license                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   1
supplementary results or negative results which might not be important for the published story may also be shared.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   1
Platforms should provide easy access                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 1
data owner (contact)\nproperty right\n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                               1
Metadata in a standardised format;\nLicense for data reuse\n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         1
The minimum information standards of the respective domains are a good starting point. I am generally in favor of open notebook science which aims to be totally open about everything as soon as the data, planning, etc is done.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   1
factors that negatively influence the outcome / working of an experiment                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             1
hidden parameters for data processing and reasoning for specific choices made for methods, steps, parameters                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         1
The current academic rewarding system is pushing people into coming up with a nice story which unfortunately is encouraging people to publish their results without properly validating, hiding their negative data, adjusting statistical tests in a way that shows a significant difference and so on. The whole system is broken and has to change. \n\nPre-registration of experimental plans, openly sharing lab notebooks, sharing all versions of the manuscripts along with reviewer's comments and answers to those comments, seperately publishing underlying datasets, codes and methods and therefore not forcing, polishing and hiding data to make a nice story but being open and transparent from the beginning and sharing all elements of research as individual items. To incentivize all these, promotion and hiring criteria should not only look for high impact journal publications but rather these type of efforts.\n\nResearchers typically spent the least effort to explain their materials and methods while that is one of the most important elements for research reproducibility. Dedicated methods repositories that archive not only the experimental procedures and parameters such as protocols.io but also videos of the procedures performed by the researchers would help enormously. \n    1
Protocols used in the study with versions/adjustments made                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           1
Ethics approval, the systematic review conducted before and alongside the study, the limitations, the contact people in project with long-term access.\nEverything should be shared in an structured findable, accessible, inter-operable, and reusable format (following FAIR guidelines).                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          1
Computational environment needs to be fully specified, including OS and any software dependencies                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    1
URL/DOI Links to data in curated repositories; data availability statement                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           1
Name: Please let us know what else should be shared when publishing experimental results., dtype: int64

Text                               2
word files                         1
Numbers, a lot of numbers          1
code, scripts, metadata            1
Text data                          1
molecular data, notes/textfiles    1
code                               1
Model output                       1
csv, strucutured data              1
geo-data                           1
Name: What kind of data do you work primarily with? [Other], dtype: int64

Cloud storage (eg. Google Drive, DropBox, etc.)    1
Cloud storage (dropbox)                            1
Dropbox                                            1
institution's repository                           1
as a data manager I don't have own ones            1
public databases like Metabolights                 1
Name: Where do you store your experimental data files? [Other], dtype: int64

The bottleneck for experimental scientists is that FAIR data sharing comes on top of everything else they have to do to generate and analyse the data. They are usually not experts in data handling/storage. The platforms we share our data on are often made by IT experts that do not realize that 'their language' and expertise is not immediately clear to biologists. It thus costs a lot of extra time and energy for experimental biologists to share their data. Moreover, there is still a feeling among my lab scientists that it is unfair that they are forced to share data, but that the one taking the data and doing synthesis projects (yielding high IF papers) never have to go in the lab and do the hard work of getting the data. We discussed this very often. Getting credits for sharing data does not sufficiently resolve this issue for them.    1
Internationally accepted metadata schemata covering all disciplines\nControlled vocabularies covering most of the metadata fields\nAn agreement on file formats                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 1
It is really important (in the case of hand- written notes) the scientists explains all the abbreviations used in her/ his lab books. It is also very important to keep the same structure of storing the experimental details/ steps (dates, treatments, titles).                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              1
Data sharing among other lab members is important to understand the reproducibility of the experiments.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         1
Follow community/domain conventions. Eg when scripting in a particular language, follow software engineering conventions of that particular language to package up code.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        1
As a data manager I cannot really answer questions about the quality of my data, as I manage data of others and don't have own research data. I also cannot say where that data is saved as it always depends on the customer.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                  1
I think it should be a criteria for research funders to allocate funding for reproducibility of each research and make it a mandatory criteria.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 1
Name: Please feel free to provide comments regarding what you think is important to enable understandability and reproducibility of scientific experiments in your field of research., dtype: int64