BSI PD ISO/TR 3985:2021
$142.49
Biotechnology. Data publication. Preliminary considerations and concepts
Published By | Publication Date | Number of Pages |
BSI | 2021 | 28 |
This document reviews best practices that:
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respect the existing standardization efforts of life sciences research communities;
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normalize key aspects of data description particularly at the level of the biology being studied (and shared) across the life sciences communities;
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ensure that data are “findable” and useable by other researchers; and
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provide guidance and metrics for assessing the applicability of a particular data sharing plan.
This document is applicable to domains in life sciences including biotechnology, genomics (including massively parallel nucleotide sequencing, metagenomics, epigenomics and functional genomics), transcriptomics, translatomics, proteomics, metabolomics, lipidomics, glycomics, enzymology, immunochemistry, life science imaging, synthetic biology, systems biology, systems medicine and related fields.
PDF Catalog
PDF Pages | PDF Title |
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2 | National foreword |
7 | Foreword |
8 | Introduction |
9 | 1 Scope 2 Normative references 3 Terms and definitions |
11 | 4 Abbreviated terms |
12 | 5 Principles 5.1 General |
13 | 5.2 Current technologies, approaches and their flaws |
14 | 5.3 Standards and best practices to facilitate data sharing and reuse 5.3.1 Maximizing value to the payer 5.3.2 Data findability 5.3.3 Data machine and human interpretability 5.3.4 Using accepted controlled vocabularies and naming conventions 5.3.5 Biological annotation technology domain independence 5.3.6 Data locatability using multiple queries |
15 | 5.4 Additional desirable attributes 5.4.1 Data linkage to a published and openly accessible document describing the experimental system 5.4.2 Data format linkage to a published and openly accessible document describing the format 5.4.3 Existing information technology 5.4.4 Development of tools and best practices for creating web friendly and search engine crawlable data documents 5.5 Essential considerations 5.5.1 Common annotation across multiple data sources |
16 | 5.5.2 Keyword template |
17 | 5.5.3 Embedding ontological descriptions 5.5.4 Pseudo-documents |
18 | 6 Major challenges 6.1 General 6.2 Domain 6.3 Regionalization 6.4 Proprietary data 6.5 Large number of existing bio-ontologies, controlled vocabularies and terminologies 6.6 Large number of existing data repositories and corresponding domain specific data formats 6.7 Large number of funding agencies (e.g. national, educational, philanthropic, commercial) |
19 | 7 Examples of existing national and regional standards or requirements for data sharing or publication 7.1 General 7.2 USA 7.3 Canada 7.4 European Union 7.5 Germany 7.6 China |
20 | 7.7 United Kingdom 7.8 India 7.9 Japan 8 Existing legal requirements for data protection 8.1 USA 8.2 European Union 9 Timing of data publication 10 Costs of data publication |
21 | 11 Archival data 12 Validation and verification of compliance 13 Affected stakeholder categories |
22 | Annex A (informative) Searchability of scientific content on the web |
24 | Annex B (informative) Example enhanced annotation of text documents |
25 | Bibliography |