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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Legal assessment tool (LAT): an interactive tool to address privacy and data protection issues for data sharing
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2016
|
| DOI | 10.1186/s12911-016-0325-0 |
| Pubmed ID | |
| Authors |
Wolfgang Kuchinke, Christian Krauth, René Bergmann, Töresin Karakoyun, Astrid Woollard, Irene Schluender, Benjamin Braasch, Martin Eckert, Christian Ohmann |
| Abstract |
In an unprecedented rate data in the life sciences is generated and stored in many different databases. An ever increasing part of this data is human health data and therefore falls under data protected by legal regulations. As part of the BioMedBridges project, which created infrastructures that connect more than 10 ESFRI research infrastructures (RI), the legal and ethical prerequisites of data sharing were examined employing a novel and pragmatic approach. We employed concepts from computer science to create legal requirement clusters that enable legal interoperability between databases for the areas of data protection, data security, Intellectual Property (IP) and security of biosample data. We analysed and extracted access rules and constraints from all data providers (databases) involved in the building of data bridges covering many of Europe's most important databases. These requirement clusters were applied to five usage scenarios representing the data flow in different data bridges: Image bridge, Phenotype data bridge, Personalised medicine data bridge, Structural data bridge, and Biosample data bridge. A matrix was built to relate the important concepts from data protection regulations (e.g. pseudonymisation, identifyability, access control, consent management) with the results of the requirement clusters. An interactive user interface for querying the matrix for requirements necessary for compliant data sharing was created. To guide researchers without the need for legal expert knowledge through legal requirements, an interactive tool, the Legal Assessment Tool (LAT), was developed. LAT provides researchers interactively with a selection process to characterise the involved types of data and databases and provides suitable requirements and recommendations for concrete data access and sharing situations. The results provided by LAT are based on an analysis of the data access and sharing conditions for different kinds of data of major databases in Europe. Data sharing for research purposes must be opened for human health data and LAT is one of the means to achieve this aim. In summary, LAT provides requirements in an interactive way for compliant data access and sharing with appropriate safeguards, restrictions and responsibilities by introducing a culture of responsibility and data governance when dealing with human data. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 1 | 14% |
| Latvia | 1 | 14% |
| United Kingdom | 1 | 14% |
| Belgium | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 71% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
| Members of the public | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 15% |
| Researcher | 6 | 10% |
| Student > Ph. D. Student | 5 | 8% |
| Student > Postgraduate | 4 | 7% |
| Student > Bachelor | 4 | 7% |
| Other | 13 | 21% |
| Unknown | 20 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 23% |
| Social Sciences | 5 | 8% |
| Medicine and Dentistry | 3 | 5% |
| Agricultural and Biological Sciences | 2 | 3% |
| Business, Management and Accounting | 2 | 3% |
| Other | 12 | 20% |
| Unknown | 23 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 December 2016.
All research outputs
#6,988,121
of 22,912,409 outputs
Outputs from BMC Medical Informatics and Decision Making
#682
of 1,997 outputs
Outputs of similar age
#115,741
of 355,432 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#17
of 40 outputs
Altmetric has tracked 22,912,409 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,997 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 355,432 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.