Objective
The creative, situated, and interpretive nature of data collection is well established by scholars across disciplines. Archaeologists recording the color of soil interpret its hue differently. Library catalogers disagree on the title of a book. Collectors of plant specimens provide different kinds of information about the specimen's location: some provide coordinates, others describe landmarks, some record details of the terrain. Interpretive flexibility in data creation occurs despite the use of standardized structures and protocols to enforce consistent data. It even occurs when data is collected by computers. For example, smartphones, fitness trackers, and other devices record the number of steps users take when carrying the device. But although the recording of steps is automatic, people use these devices in flexible, creative ways: they carry them during certain activities but not others, use different devices for different activities, and so on. In the DataStories project, I argue that interpretive judgments of data creators are valuable forms of information, and we should study them and learn from them, not ignore or eliminate them. DataStories seeks to answer the following question: What can we learn from understanding the range of interpretive judgments that appear in a dataset?
DataStories has three objectives:
1. To empirically investigate the alternate stories within datasets that arise from data creators’ interpretive judgments.
2. To demonstrate how the variation that arises from data creators’ interpretive judgments is valuable information.
3. To develop a methodological framework for telling these data stories.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology materials engineering colors
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications mobile phones
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2017
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1165 KOBENHAVN
Denmark
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.