Welcome to the DMP Annotation Tool
By labelling the data, you are helping to train an AI that will help with writing and evaluating Data Management Plans (DMP). The AI model will be free for anyone to use.
Here are some tips and information about annotation:
- Chapter headings can match label headings, which saves a lot of time when looking for the answer.
- Sometimes the answers don't start at the very top of the document, usually, the first important heading is Data Summary or Executive Summary
- Please don't translate the website to other languages, it breaks the labelling. Write me an email if you want this feature.
- You don't have to answer all questions, feel free to leave some empty if you are not sure.
- Questions are generally answered in order (not always)
- Annotating one DMP takes approximately 30 minutes.
- If you don't find the answer to a question, you can tick the checkbox without highlighting anything. This way, the question will be marked as not answered in the document. Documents usually don't contain answers to every question.
- Selection may overlap, some questions may even be answered by the same selection
- Feel free to suggest any improvements
Examples of Correct Labels
Question: What is the purpose of the data collection/generation and its relation to the objectives of the project?
Highlight everything regarding the question, not just particular words
Research data refers to information, in particular facts or numbers, collected to be examined and considered and as a basis for reasoning, discussion, or calculation. In a research context, examples of data include statistics, results of experiments, measurements, observations resulting from fieldwork, survey results, interview recordings and images. The focus is on research data that is available in digital form.
Question: How will the data be licensed to permit the widest re-use possible?
Sometimes, it would be useful to select two parts of text and leave out a bit in the middle. This is not possible, if the middle section is short ~1 paragraph, highlight both sections including the middle, if the secetions are far apart, pick one.
3.5 Increase data re-use (through clarifying licenses) [fair data]
APPLICATE promotes free and open data sharing in line with the Open Research Data Pilot. Each dataset needs a license attached. The recommendation in APPLICATE is to use Creative Commons attribution license for data. See https://creativecommons.org/licenses/by/3.0/ for details.
APPLICATE data should be delivered in a timely manner meaning without undue delay. Any delay, due or undue, shall not be longer than one year after the dataset is finished. Discovery metadata shall be delivered immediately.
APPLICATE is promoting free and open access to data. Some data may have constraints (e.g., on access or dissemination) and may be available to members only initially. Furthermore, some of the data will be used for modeling development purposes and are thus of limited interest to the broader community; these data will not be made publicly available. A draft dissemination plan was outlined in the proposal and is provided in Table 4. This will be updated as the project progresses.
Question: Is there a need for a data access committee?
Sometimes, questions don't have answers in the document. In that case, just tick the questions and go to next one. Use this only if you believe the question is not answered. If you don't know, just leave the question empty and move to next one.
