Response Options:The hardest thing to understand about other people's data is often selection criteria that are hard to express. , In my field incomplete capture and sample bias are inherent. Reserachers must use the proper design and estimator to minimize these biases. They must report capture/detection probabilities and how thesse were estimated along with the other metadata. , ecology data is highly variable and small differences in collection have huge impacts on data meaning. it's a difficult thing to standardize! , License assignment were easy, clear, and respected , all data collection and processing by others was done with open source code that was distributed with the data. , Associated cleaning/organization scripts were available , Clear information on how the data to be cited is available! , Conditions/licenses for reuse were explicit and there was documentation that data were collected in accordance with ethical standards. , If data was integrated/federated across different domains where appropriate , Most of the data I have to manage are really very dirty and a mess. No metadata standard can do anything against that, and I wish I had a data dictionnary describing at least unit of measurement and types of the variables that are created in datasets. Most of the metadata standards do not even think to that issue. , if I can vizualize the data and its documentation , I knew where it came from and for what purpose it was collected. , there is sufficient identifiers methods , If there are questions about the data (for example, that did not seem important at the time), I can ask the originating lab directly about their methods. , I did not reuse data, so I would rather have answered "N/A" when available , I use data as they are provided on the microscopic slides , For some fields (i.e. experimental chemistry) the "data sets" are rather small, and none of the questions are really applicable. To elaborate: it takes *a lot* of effort to obtain what amounts to a single data point, and that single result is extremely meaningful. , I am not sure , The paper the data were published in also published their data processing tools (i.e. R or python scripts). , a full record on how other use the data.