Update 03-use-registry.md

_episodes/03-use-registry.md

@@ -24,20 +24,20 @@ keypoints:
 You are already using meta-data, but you might not be fully aware of it.
 
 **Definition**
-Metadata (for data) can be defined as [“a set of data that describes and gives information about other data”](https://en.wikipedia.org/wiki/Metadata) or [“Meta is a prefix that in most information technology usages means 'an underlying definition or description'”](https://whatis.techtarget.com/definition/metadata). For some more information and examples, just [follow this link](https://web.archive.org/web/20160306145239/http://www.theguardian.com/technology/interactive/2013/jun/12/what-is-metadata-nsa-surveillance#meta=0000000). 
+Metadata (for data) can be defined as [“a set of data that describes and gives information about other data”](https://en.wikipedia.org/wiki/Metadata) or [“Meta is a prefix that in most information technology usages means 'an underlying definition or description”](https://whatis.techtarget.com/definition/metadata). For some more information and examples, just [follow this link](https://web.archive.org/web/20160306145239/http://www.theguardian.com/technology/interactive/2013/jun/12/what-is-metadata-nsa-surveillance#meta=0000000). 
 
-For the software case, we have defined metadata as “a set of data that describes and gives information about software with the purpose of make it findable/discoverable”
+In case of software, metadata is “a set of data that describes and gives information about software with the purpose of making it findable/discoverable”
 
-> ## Exercise: Thinking of metadata
+> ## Exercise: Think about metadata
 > #### Time 5 minutes
 >
-> Let's think about metadata useful to describe a publication. We have for instance title and authors. What other metadata can you think about? Why would you say those are metadata?
+> Let's think about a metadata useful to describe a publication, for instance title and authors. What other metadata can you think about? Why would you say those are metadata?
 > 
 > By the end of this exercise, you should be able to better understand the difference between data and metadata.
 >
 > > ## Solution
 > >
-> > Some other common metadata for publications are starting page, ending page, journal where it was published, voumen and item. 
+> > Some other common metadata for publications are starting page, ending page, journal where it was published, volume and item. 
 > > 
 > > They are considered metadata because they give you information about the publication but they are not the publication. 
 > > 
@@ -48,26 +48,24 @@ For the software case, we have defined metadata as “a set of data that describ
 **Definition**
 From Wikipedia, [“Software documentation is written text or illustration that accompanies computer software or is embedded in the source code. It either explains how it operates or how to use it, and may mean different things to people in different roles.”](https://en.wikipedia.org/wiki/Software_documentation)
 
-That is, metadata helps describe the software in a standardized way, so it can be findable/discoverable, by both machines and humans.
+In short, metadata helps describe the software in a standardized way, so it can be findable by both machines and humans.
 
 > ## Software metadata vs documentation
 >
-> Metadata is for finding software while documentation is for understanding it
+> Metadata is for finding software while documentation is for understanding it.
 >
 {: .callout}
 
 
-## What are the existing / commonly used standards / descriptions for software metadata (Fatma)
+Before going into the examples for software, let's talk about the existing commonly used standards/descriptions for a scientific metadata.
 
-**Definition**
 A standard can be defined as:
-- A structure agreed and adopted by a community
-- A pattern or model used or accepted as normal or average
-- A standard may be represented by an Ontology, or a Controlled Vocabulary, etc
+- A structure or a model agreed and adopted by a community
+- A standard is represented by an Ontology, or a Controlled Vocabulary
 
-For capturing good meta-data, it is better to use an existing standard
+For capturing a good meta-data, it is better to use an existing standard.
 
-> ## Ontology definition 
+> ## What is an Ontology?
 >
 > “In computer science and information science, an ontology encompasses a representation, formal naming, and definition of the categories, properties, and relations between the concepts, data, and entities that substantiate one, many, or all domains.” - Wikipedia (https://en.wikipedia.org/wiki/Ontology_(information_science)
 >
@@ -81,24 +79,22 @@ Examples
 - The [Sequence Ontology (SO)](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1175956/) is a structured controlled vocabulary for genomic annotation. SO provides a common set of terms and definitions that will facilitate the exchange, analysis and management of genomic data. 
 - The [Darwin Core](https://http://rs.tdwg.org/dwc/) standard is body of standards. It includes a glossary of terms (in other contexts these might be called properties, elements, fields, columns, attributes, or concepts) intended to facilitate the sharing of information about biological diversity by providing reference definitions, examples, and commentaries. 
 
+## Standards for software metadata
 
-**About good standards**
-
-- What is a good standard? 
-- How can I make sure that I am using a good standard? 
-- How to choose a standard?
-
-The process in choosing a "good standard" is to see what is being (extensively) used by the community. It should ideally be well known and highlighted by the existence of a certain number of citations.
+In this section we will try to answer two main questions:
 
+1. What are the standards for a software?
+2. How can I choose a good standard for my software? 
 
+The process in choosing a "good standard" is to see what is being (extensively) accepted in the scientific community. It should ideally be well known and highlighted by the existence of a certain number of citations.
 
 Examples in Life Sciences:
 - [EDAM Ontology](http://edamontology.org/page)
 EDAM is a comprehensive ontology of well-established, familiar concepts that are prevalent within bioinformatics and computational biology, including types of data and data identifiers, data formats, operations and topics)
 - [BioSchema.org](http://bioschemas.org/specifications/Tool/specification/)
 This is an extension, based on [schema.org](schema.org)
 
-General Examples
+Here a few more examples:
 - [CodeMeta](https://codemeta.github.io/)
 Includes tools for preparing meta-data in JSON format
 - [Schema.org](https://schema.org/SoftwareApplication)
@@ -117,10 +113,12 @@ To describe software applications
 | Support email for questions | [email protected] |
 
 
-
 > ## Exercise: Using a registry, e.g., bio.tools
 >
-> Ask the participants to go to the https://schema.org/SoftwareApplication and try to map the “metadata” they prepared for the previous movie/Software exercise. How many have you mapped? What are the top x metadata entries that you have missed and you think are necessary? What are your unmapped “metadata” that do not have a respective entry in schema - is there a closely related entry, or a composite one? 
+> Please read this [Software Application Schema](https://schema.org/SoftwareApplication) to help you map the “metadata” you prepared for the previous exercise and answer the following questions:
+> - How many have you mapped? 
+> - What are the top x metadata entries that you have missed and you think are necessary? 
+> - What are your unmapped “metadata” that do not have a respective entry in schema? Is there a closely related entry, or a composite one? 
 > 
 > > ## Solution
 > >