Aleph MAB

Source ID

From data source definitions

Original Source ID

From data source definitions

Source Record-ID

From data source definitions

Record ID

Source ID + Source Record-ID

Additional Record-ID

001#1 $$a

MAB identification number; may differ from Aleph system number.

ILS API ID

Original Source ID + Source Record-ID

Source Type

Not in use.

Source Format

From data source definitions

SourceSystem

From data source definitions

Resource Type

050 ## Pos. 10

OR

051 ## Pos. 1

OR

052 ## Pos. 1

OR

051 ## Pos. 0

OR

052 ## Pos. 0

OR

050 ## Pos. 5

OR

334 ## $$a

Mapping rule 4.

The following mapping tables are used:

• type_050_10

• type_051_1

• type_052_1

• type_051_0

• type_052_0

• type_050_5

• type_334

  If no value is assigned according to the four fields, the constant Book is used.

Title

331 ## $$a

333 ## $$a

335 ## $$a

360 ## $$a

089 #1 $$a

304 #1 $$a

310 #1 $$a

340 #1 $$a – 352#1 $$a

(every 4th tag)

341 #1 $$a

Mapping rule 2.

Multiple occurrences of 360 and 089 are merged and delimited by “_:_”

Fields are merged in the following way:

331#2_/_333#2_:_335#2._360#2._089#1

._331#1_/_333#1_:_335#1._360#1._304#1._310_=_340

Creator

100 #1 $$a

104 a1 $$a

108 a1 $$a

(every 4th tag, until 136_1)

200 #1 $$a

204 a1 $$a

208 a1 $$a

Mapping rule 1.

Transformation routines “Get author first name” and “Get author last name” are used to reverse the author’s names.

Multiple occurrences are merged and delimited by “;_” in the listed sequence of the fields:

100_1, 104a1, 108a1, ... ,136a1, 200_1, 204a1, 208a1

Contributor

100 #1 $$a, $$b

Take any indicator except “_”

104 #1 $$a - 196#1 $$a, $$b

(every 4th tag)

Take any indicator except “a”

200 #1 $$a

Take any indicator except “_”

204 #1 $$a - 208#1 $$a (every 4th tag)

Take any indicator except “a”

Mapping rule 1.

Transformation routines “Get author first name” and “Get author last name” are used to reverse the author’s names.

Subfields $$a and $$b (relator term) are merged and delimited by blank.

Edition

403 ## $$a

407 ## $$a

Mapping rule 4.

Fields are merged and delimited by a semicolon:

403##;_407##

Publisher

410 ## $$a

412 ## $$a

415 ## $$a

417 ## $$a

418 ## $$a, $$g

Mapping rule 4.

Fields are merged and delimited by "_:_"

First place/publisher: 410##_:_412##

Second place/publisher: 415##_:_417##

Third and subsequent places/publisher: 418##

418: subfields $$a and $$g are merged and delimited by "_:_"

Creation date

405 #1 $$a

OR

425 b1 $$a, 425 c1 $$a

OR

425 #1 $$a

OR

425 a1 $$a

OR

425 p1 $$a

Mapping rule 1.

425b1 and 425c1 are merged. Transformation routine “Add to end of string” is used to add hyphen to 425b1.

Example: 1980_-_1985

Physical format

433 #1 $$a Take any indicator except "a".

434 #1 $$a

437 #1 $$a

653 #1 $$a

Mapping rule 1.

Fields are merged in the following way:

433#1_:_434_1_+_437#1._-_653#1

Multiple occurrences of 434_1 and 652#1 are merged and delimited by ",_"

Is Part Of

525 #1 $$p, $$a

590 #1 $$p, $$a - 599 #1 $$p, $$a

Take any indicator except blank and "s".

Mapping rule 1.

Subfields $$p and $$a of field 525#1 are merged and delimited by ":_"

Fields are merged like this:

525#1._-_In:_590#1_/_591#1._592#1._-_593#1._-_594#1,_595#1

._-_596#1._-_(597#1)._-_598#1._-_599#1

Multiple occurrences of 525#1 and 599#1 are merged and delimited by "._-_"

Identifier

540 #1 $$a, $$b

541 #1 $$a, $$b

542 #1 $$a, $$b

543 #1 $$a, $$b

Take 54X with any indicator except “z”.

Mapping rule 1.

Transformation routine “Add to beginning of string” is used to prefix fields with following values:

540: “ISBN ”

541: “ISMN ”

542: “ISSN ”

543: “ISRN ”

Subfields $$a and $$b are merged and delimited by “_:_”

Multiple occurrences are merged and delimited by “_;_” in the listed sequence of the fields: 540#1, 541#1, 542#1, 543#1

Subject

902 ## $$a - 947 ## $$a (every 5th tag)

Take any subfields except $$1 and $$9

710 ## $$a

711 ## $$a

720 ## $$a

740 ## $$a

Mapping rule 2.

All repeatable fields of 902## with all subfields are considered as one subject (the same for 907##ff - 947##). Fields and subfields are merged and delimited by "_/_".

Description

517 #1 $$p, $$a

524 #1 $$p, $$a

750 #1 $$a

753 #1 $$a

756 #1 $$a

Mapping rule 1.

Subfields $$p and $$a of field 5XX#1 are merged and delimited by ":_"

Language

037 b# $$a

OR

037 a# $$a

OR

037 c# $$a

Mapping rule 3.

The language is stored in ISO 639-2.

Multiple occurrences of subfields $$a of 037 ## are merged with ";_"

Relation

451#1 $$a - 491#1 $$a

(every 10th tag)

522 #1 $$p, $$a

526 #1 $$p, $$a - 533 #1 $$p, $$a

534 #1

Mapping rule 1.

Subfields $$p and $$a of field 52X#1 are merged and delimited by ":_"

Multiple occurrences are merged and delimited by "._-_" in the listed sequence of the fields: 451#1, 461#1, 471#1, 481#1, 491#1, 522#1, 526#1, 527#1, 528#1, 529#1, 530#1, 531#1, 532#1, 533#1, 534#1

Source

From PNX:

control/sourceid

Coverage

---

Rights

---

Library level availability

AVA, created by the Aleph expand routine "expand_doc_bib_avail

The Availability subfields are created as follows:

$$I Institution – based on institution look-up table based on AVA$$a

$$L Library – based on library look-up table based on AVA$$b

$$1 Sublocation – from AVA$$c

$$2 Call number – from AVA$$d

$$S Availability status – based on AVA$$e

$$3 No. of items – from AVA$$f

$$4 No. of unavailable items – from AVA$$g

$$5 multi-volume flag – from AVA$$h

$$6 number of loans – from AVA $$i

$$9 – For more information, refer to section Adding $$9ONLINE to Library Level Availability.

$$P location priority – from AVA $$p

$$X source institution code (Aleph ADM) – from AVA $$a

$$Y source library code (Aleph sublibrary) – from AVA $$b

$$Z source sublocation code (Aleph collection) – from AVA $$j

Vernacular title

---

Uniform title

304 #1 $$a

310 #1 $$a

Mapping rule 1.

Fields are merged and delimited by semicolon:

304 #1_;_310 #1

OpenURL

Based on resource type from display:

If type=article then:

$$Topenurl_article

Otherwise:

$$Topenurl_journal

SFX has two sources for Primo: one for articles, in which case the data is used, and one for journals, in which case the date is ignored. There is a different template per source.

Backlink

$$Taleph_backlink

Link to Resource

655 #1 $$u, $$z

655 #1 $$g, $$z

552 #1 $$a

Mapping rule 1.

655: If $$z exists, take text from this subfield and add it to $$D as description for link. If $$z doesn't exist, add description "Link to Resource" to $$D.

Thumbnail

$$Tamazon_thumb

OR

$$Tsyndetics_thumb

OR

$$Tgoogle_thumb

Link to TOC

---

Link to Abstract

---

OpenURL_fulltext

Based on resource type from display:

If type=article then:

$$Topenurl_article

Otherwise:

$$Topenurl_journal

SFX has two sources for Primo: one for articles, in which case the data is used, and one for journals, in which case the date is ignored. There is a different template per source.

OpenURL_servicetext

---

Link to Holdings

$$Taleph_holdings

Link to Request

---

Link to Review

---

Link to Price

---

Additional links

---

Link to Holdings_Available

---

Link to Holdings_Unavailable

---

Link to Holdings_Doesnotexist

---

Link to UC

---

Link to Finding Aid

---

Link to Excerpt

---

Creator/Contributor

100 ## - 196 ## $$a (every 4th tag)

101 ## - 197 ## $$a (every 4th tag)

800 ## $$a, 801 ## $$a

806 ## $$a, 808 ## $$a

812 ## $$a, 813 ## $$a

818 ## $$a, 819 ## $$a

824 ## $$a, 825 ## $$a

200 ## - 296 ## $$a (every 4th tag)

201 ## - 297 ## $$a (every 4th tag)

802 ## $$a, 803 ## $$a

808 ## $$a, 809 ## $$a

814 ## $$a, 815 ## $$a

820 ## $$a, 821 ## $$a

826 ## $$a, 827 ## $$a

Mapping rule 2.

The headings form of persons (not the cross references) are considered twice:

Copy as is

Transformation routine "Normalize author" is used to take the last name + the initial character from the first name

Title

089 #1 $$a

304 ## $$a

310 ## $$a

331 ## $$a

333 ## $$a

335 ## $$a

360 ## $$a

Mapping rule 2.

Description

517 #1 $$a

524 #1 $$a

750 #1 $$a

753 #1 $$a

756 #1 $$a

Mapping rule 1.

Subject

902## $$a - 947## $a (every 5th tag)

Take any subfield except $$1 and $$9

710 ## $$a

711 ## $$a, $$v

720 ## $$#

740 ## $$#

Mapping rule 2.

Full Text

---

General

400 ## $$a

403 ## $$a

407 ## $$a

410 ## $$a

412 ## $$a

415 ## $$a

417 ## $$a

418 ## $$a

519 ## $$a

Mapping rule 4.

Source ID

From PNX:

control/sourceid

Record ID

From PNX:

control/recordid

ISBN

540 ## $$a

Mapping rule 4.

ISSN

541 ## $$a

Mapping rule 4.

TOC

---

Resource type

From PNX:

display/type

Format

---

Creation date

425 a1 $$a OR 425p1 $$a OR

425 b1 $$a OR 425c1 $$a OR

425 #1 $$a OR 595_1 $$a OR

425a 2 $$a OR 425p2 $$a OR

425 b2 $$a OR 425c2 $$a OR

425 #2 $$a OR 595_2 $$a OR

089 #1 $$a

ADD

619 a1 $$a OR 619 b1 $$a OR

619 #1 $$a

ADD

674 #1 $$a

Mapping rule 3.

Record type

---

Additional Title

340 #1 $$a - 355 #1 $$a

361 #1 $$a

365 #1 $$a

370 #1 $$a

376 #1 $$a

451 #1 $$a - 491 #1 $$a (every 10th tag)

454 #1 $$a - 494 #1 $$a (every 10th tag)

621 #1 $$a, 624 #1 $$a, 627 #1 $$a, 630 #1 $$a

670 #1 $$a

675 #1 $$a

804 #1 $$a, 805 #1 $$a

810 #1 $$a, 811 #1 $$a

816 #1 $$a, 817 #1 $$a

822 #1 $$a, 823 #1 $$a

828 #1 $$a, 829 #1 $$a

Mapping Rule 1.

Additional resource record ID

From PNX:

control/addsrcrecordid

Search Scope

From PNX:

delivery/institution

control/sourceid (for example the data source is added as a scope)

Restricted Search Scope

---

Scope

Copies from the Search scope and Restricted search scope from the sections above

Syndetics full text

---

Syndetics TOC

---

Alternative title

---

Creation date

425 a1 $$a OR 425 p1 $$a OR

425 b1 $$a OR 425 c1 $$a OR

425 #1 $$a OR 595 #1 $$a OR

425 a2 $$a OR 425 p2 $$a OR

425 b2 $$a OR 425 c2 $$a OR

425 #2 $$a OR 595 #2 $$a OR

089 #1 $$a

Mapping rule 1.

Analyze the content of the field and use just the four numeric characters. If this shouldn't be possible (because of the content of the field) or if a source year field is missing use "0000" as default year.

Language

037 b# $$a

OR

037 a# $$a

OR

037 c# $$a

Mapping rule 3.

Creation date

425 a1 $$a OR 425 p1 $$a OR

425 b1 $$a OR 425 c1 $$a OR

425 #1 $$a OR 595 #1 $$a OR

425 a2 $$a OR 425 p2 $$a OR

425 b2 $$a OR 425 c2 $$a OR

425 #2 $$a OR 595 #2 $$a OR

089 #1 $$a

ADD

619 a1 $$a OR 619 b1 $$a OR

619 #1 $$a

ADD

674 #1 $$a

Mapping rule 1.

Analyze the content of the field and use just the four numeric characters. If this shouldn't be possible (because of the content of the field) or if a source year field is missing use "0000" as default year.

Topic

902 ## - 947 ## $$# (every 5th tag)

Any subfields except $$1 and $$9

710 ## $$a

711 ## $$a

740 ## $$a

Mapping rule 2.

All subfields of 902## are considered as one topic (the same for 907##ff - 947##). Subfields are merged with "_/_".

For example, 902#1$$p_/_$$t

Collection

AVA $$b

Mapping table "ILS library codes" is used.

Top-level

334 #1 $$a

OR

655 #1 $$u or $$g

OR

552 #1 $$a

OR

051 Pos. 0

OR

052 Pos. 0

OR

Constant=Book

The following mapping tables are used:

"toplevel_334"

"type_051_0"

"type_052_0"

ELSE: Constant "Book"

Pre-filter

Based on the field Type of the display section a 1:1 mapping should be done:

Book -> Books

Journal -> Journals

Article -> Articles

Text Resource -> Books

Audio -> Audio-Video

Video -> Audio-Video

Image -> Images

Map -> Maps

Score -> Scores

Resource type

Create this based on the Resource type field from display section as follows.

Book ' books

Journal ' journals

Article ' articles

Text Resource ' books

Audio ' audio-video

Video ' audio-video

Image ' images

Map ' maps

Score ' scores

Other ' other

In some cases, two values should be created, each as separate field.

Creator/Contributor

100 ## $$a - 196 ## $$a (every 4th tag)

800 ## $$a - 824 ## $$a (every 6th tag)

200 ## $$a - 296 ## $$a (every 4th tag)

802 ## $$a - 826 ## $$a (every 6th tag)

Mapping rule 2.

Transformation routine "Normalize author" is used.

Physical format

---

File size

---

Related record

331 #2 $$a

451 #1 $$a

461 #1 $$a

471 #1 $$a

481 #1 $$a

491 #1 $$a

451 - 491: Transformation routine "Take until first occurrence of" is used to take only characters until the first semicolon appears in the fields.

Genre

---

Language

037 b# $$a

OR

037 a# $$a

OR

037 c# $$a

Mapping rule 3.

Creation date

425 a1 $$a OR 425p1 $$a OR

425 b1 $$a OR 425c1 $$a OR

425 #1 $$a OR 595_1 $$a OR

425 a2 $$a OR 425p2 $$a OR

425 b2 $$a OR 425c2 $$a OR

425 #2 $$a OR 595_2 $$a OR

089 #1 $$a

ADD

619 a1 $$a OR 619 b1 $$a OR

619 #1 $$a

ADD

674 #1 $$a

Mapping rule 1.

Analyze the content of the field and use just the four numeric characters. If this shouldn't be possible (because of the content of the field) or if a source year field is missing use "0000" as default year.

Topic

902 ## - 947 ## $$# (every 5th tag)

Any subfields except $$1 and $$9

710 ## $$a

711 ## $$a

740 ## $$a

Mapping rule 2.

All subfields of 902## are considered as one topic (the same for 907##ff - 947##). Subfields are merged with "_/_".

For example, 902#1$$p_/_$$t

Collection

AVA $$b

Mapping table "ILS library codes" is used.

Top-level

334 #1 $$a

OR

655 #1 $$u or $$g

OR

552 #1 $$a

OR

051 Pos. 0

OR

052 Pos. 0

OR

Constant=Book

The following mapping tables are used:

"toplevel_334"

"type_051_0"

"type_052_0"

ELSE: Constant "Book"

Pre-filter

Based on the field Type of the display section a 1:1 mapping should be done:

Book -> Books

Journal -> Journals

Article -> Articles

Text Resource -> Books

Audio -> Audio-Video

Video -> Audio-Video

Image -> Images

Map -> Maps

Score -> Scores

Resource type

Create this based on the Resource type field from display section as follows:

Book -> books

Journal -> journals

Article -> articles

Text Resource -> books

Audio -> audio-video

Video -> audio-video

Image -> images

Map -> maps

Score -> scores

Other -> other

In some cases, two values should be created, each as separate field.

Creator/Contributor

100 ## $$a - 196 ## $$a (every 4th tag)

800 ## $$a - 824 ## $$a (every 6th tag)

200 ## $$a - 296 ## $$a (every 4th tag)

802 ## $$a - 826 ## $$a (every 6th tag)

Mapping rule 2.

Transformation routine "Normalize author" is used.

Physical format

---

File size

---

Related record

331 #2 $$a

451 #1 $$a

461 #1 $$a

471 #1 $$a

481 #1 $$a

491 #1 $$a

451 - 491: Transformation routine "Take until first occurrence of" is used to take only characters until the first semicolon appears in the fields.

Genre

---

T

Type

FMT

052 #1

Mapping rule 1.

The type value "T" will be determined based on tag FMT and tag 052:

If tag FMT is "MH" ADD tag 052 is present then the type is T2

All other records with tag FMT "MH" are type T1 (for example, tag 052 is missing)

Records with tag FMT "MU" are not part of the duplication detection.

The following fields are for the candidate selection:

C1

UnivID, NBN, Univ_ID_Invalid

574 #1

Mapping rule 1.

C2

ISXN, ISXN_invalid

540 #1 $$a

(any indicator except z)

541 #1 $$a

543 #1 $$a

634 #1 $$a

(any indicator except z)

Mapping rule 1.

Transformation routine "Drop string" is used to remove hyphen.

Multiple occurrences are merged and delimited by "_;_".

C3

Short title+author

331 #1 $$a

ADD

100 #1 $$a

OR

200 #1 $$a

Mapping rule 1.

Transformation routine "Take string" is used to normalize only the first 25 characters of title.

Transformation routine "Take string" is used to normalize only the first 10 characters of title.

C4

Year

425 a1 $$a

OR

425 p1 $$a

OR

425 #1 $$a

OR

595 #1 $$a

Mapping rule 1.

Only the four numeric characters are used. If it's not possible to identify the year (because of the content of the field) or if a year source field is missing, "0000" is used as the default year.

C5 - C10

---

---

The following fields are for the matching program:

F1

UnivID NBN

Use C1

F2

Univ_Invalid

---

F3

ISXN

540 a1 $$a

541 a1 $$a

543 a1 $$a

634 a1 $$a

Mapping rule 1.

Multiple occurrences are delimited by a semicolon.

Transformation routine "Drop string" is used to remove the hyphen.

F4

ISXN_Invalid

540 #1 $$a

(only indicator blank and b)

541 #1 $$a

543 #1 $$a

634 #1 $$a

(only indicator blank and b)

Mapping rule 1.

Multiple occurrences are delimited by a semicolon.

Transformation routine "Drop string" is used to remove the hyphen.

F5

Short title+author

C3 of the candidate section

F6

Year

C4 of the candidate section

F7

Full title

331 #1 $$a

Mapping rule 1.

F8

Place of publication

410 #1 $$a

Mapping rule 1.

Transformation routine "Take string" is used to normalize only the first 5 normalized characters of the field.

F9

Pagination

433 #1 $$a

Mapping rule 1.

F10

Publisher

412 #1 $$a

Mapping rule 1.

Transformation routine "Take string" is used to normalize only the first 5 normalized characters of the field.

F11

Main entry (author, corporate body, meeting)

100 #1 $$a

OR

200 #1 $$a

OR

100 #1 $$a

Mapping rule 1.

F12

Physical format

334 #1 $$a

Mapping rule 1.

F13

Edition

403 #1

OR

400 #1

Mapping rule 1.

Transformation routine "Take string" is used to normalize only the first 5 normalized characters of the field.

T

Type

FMT

052 #1

Mapping rule 1

The type value T2 will be determined based on tag FMT and tag 052:

If tag FMT is "MH" AND tag 052 is present then the type is T2

All other records with tag FMT "MH" are type T1 (i.e. tag 052 is missing)

Records with tag FMT "MU" are not part of the duplication detection.

The following fields are for the candidate selection:

C1

Univ_ID, ZDB-ID, UnivID_invalid

025 z1 (= ZDB ID)

Mapping rule 1.

Rule for the contents of the field:

If the field contains only alphabetic characters ignore the content for the field UnivID.

C2

ISSN, ISSN_invalid, ISSN_Cancelled

542 #1 $$a

(any indicator except z)

635 #1 $$a

Mapping rule 1.

Transformation routine "Drop string" is used to remove hyphen.

Multiple occurrences are merged and delimited by "_;_".

C3

Short Title + corporate body

310 #1 $$a

OR

331 #1 $$a

ADD

200 #1 $$a

Mapping rule 1.

Transformation routine "Take string" is used to normalize only the first 25 characters of title.

Transformation routine "Take string" is used to normalize only the first 10 characters of title.

C4

Place of publication

410 #1 $$a

Mapping rule 1.

Transformation routine "Take string" is used to normalize only the first 5 characters.

C5 - C10

---

---

Not in use.

The following fields are for the matching program:

F1

ZDB-ID

Use C1

F2

Univ_invalid

---

F3

ISSN

542 a1 $$a

635 a1 $$a

Mapping rule 1.

Multiple occurrences are delimited by semicolon.

Transformation routine "Drop string" is used to remove hyphen.

F4

ISSN_Invalid

542 #1 $$a (R

635 #1 $$a (R)

Mapping rule 1.

Multiple occurrences are delimited by semicolon.

Transformation routine "Drop string" is used to remove hyphen.

F5

ISSN cancelled

-

F6

Year of first volume

425 b1

Mapping rule 1.

Analyze the content of the field and use just the four numeric characters. If this shouldn't be possible (because of the content of the field) or if a year source field is missing use "0000" as default year.

F7

Full title

310 #1

OR

331 #1

Mapping rule 1.

F8

Short title + corporate body

take C3 of the candidate section

F9

Country of publication

---

F10

Place of publication

410 #1 $$a

Mapping rule 1.

Transformation routine "Take string" is used to take only the first 5 normalized characters of the field.

F11

Main entry ( corporate body, meeting)

200 #1 $$a

Mapping rule 1.

F12

Physical format

334 #1 $$a

Mapping rule 1.

F13

Publisher

412 #1 $$a

Mapping rule 1.

Transformation routine "Take string" is used to take only the first 5 normalized characters of the field.

T

Always 1

K1

100 #1 $$a

OR

200 #1 $$a

OR

800 ## $$a

OR

200 ## $$a

A

Following transformation routines are used:

"Delete characters", parameter: |[]'

"Replace characters", parameter: ,$~'^%*/\?@.:;<>{}}-()"!¿¡@@^

"Character conversion" using the NACO_diacritics character conversion table.

"Lower case"

K2

304 #1 $$a

TO

Following transformation routines are used:

"Delete characters", parameter: |[]'

"Replace characters", parameter: ,$~'^%*/\?@.:;<>{}}-()"!¿¡@@^

"Character conversion" using the NACO_diacritics character conversion table.

"Lower case"

K3

From PNX:

display/title

T

K4 - K10

---

---

Institution

AVA $$a

OR

Constant "MAB

Mapping rule 1.

Mapping table "ILS Institution Codes" is used.

Delivery category

334 #1 $$a

655 #1 $$u, $$g

522 b1 $$a

050 Pos. 3

Mapping rule 4.

The following mapping tables are uses:

334 : "delcategory_334"

050 : "delcategory_050_3"

If no value can be assigned according to the 4 fields, the constant "Physical item" should be used.

Restricted delivery scope

---

Customer specific; if needed to be defined during implementation phase.

booster1

1 or as added by enrichment program

booster2

Not in use.

Classification LCC

[classificationlcc]

---

Classification DDC

[classificationddc]

---

Classification UDC

---

Classification RVK

700 g# $$a

(= RVK classification code as source for the enrichment process)

Mapping rule 2.

Multiple occurrences are not concatenated.

Fulltext

---

TOC

---

Abstract

---

Review

---

Rank parent/child

FMT

IF FMT= "MU" then set constant "mab-u"

Rank number of copies

---

Rank date first copy

---

Rank number of loans

---

Availability

---

Author Last Name

100 ## $$a - 196 ## $$a (every 4th tag)

101 ## $$a - 197 ## $$a (every 4th tag)

Mapping rule 2.

Transformation routine "Get author last name" is used.

Author First Name

100 ## $$a - 196 ## $$a (every 4th tag)

101 ## $$a - 197 ## $$a (every 4th tag)

Mapping rule 2.

Transformation routine "Get author first name" is used.

Author Initial

---

Author Initial 1 (first initial)

---

Author Initial Middle

---

Author suffix

---

Author

100 ## $$a - 196 ## $$a (every 4th tag)

101 ## $$a - 197 ## $$a (every 4th tag)

Mapping rule 2.

Corporate author

200 ## $$a - 296 ## $$a (every 4th tag)

201 ## $$a - 297 ## $$a (every 4th tag)

802 ## $$a - 82 6## $$a (every 6th tag)

803 ## $$a - 827 ## $$a (every 6th tag)

Mapping rule 2.

Additional author

800 ## $$a - 824 ## $$a (every 6th tag)

801 ## $$a - 825 ## $$a (every 6th tag)

Mapping rule 2.

Series author

---

Book title

From PNX:

display/title

Only if PNX: display/type not article OR journal

Article title

From PNX:

display/title

Only if PNX: display/type = article

Journal title

From PNX:

display/title

Only if PNX: display/type = journal

Short title

331 ## $$a

335 ## $$a

360 ## $$a

089 #1 $$a

Mapping rule 2.

Transformation routine "Take substring / 0@@25" is used to normalize only the first 25 characters.

Additional title

340 ## $$a - 355 ## $$a

361 ## $$a

365 ## $$a

370 ## $$a

376 ## $$a

451 ## $$a - 491 ## $$a

(every 10th tag)

454 ## $$a - 494 ## $$a

(every 10th tag)

503 ## $$a

621 ## $$a, 624 ## $$a, 627 ## $$a, 630 ## $$a

670 ## $$a

675 ## $$a

804 ## $$a - 828 ## $$a (every 6th tag)

805 ## $$a - 829 ## $$a (every 6th tag)

Mapping Rule 2.

Series title

---

Date

425 a1 $$a OR 425 p1 $$a OR

425 b1 $$a OR 425 c1 $$a OR

425 #1 $$a OR 595 #1 $$a OR

425 a2 $$a OR 425 p2 $$a OR

425 b2 $$a OR 425 c2 $$a OR

425 #2 $$a OR 595 #2 $$a OR

089 #1 $$a

ADD

619 a1 $$a OR 61 9b1 $$a OR

619 #1 $$a

ADD

674 #1 $$a (R)

Mapping rule 4.

RISDate

---

Additional date

---

Volume

---

Issue

---

Part

---

Season

---

Quarter

---

Start page

---

End page

---

Pages

---

Article number

553 #1 $$a

Mapping rule 1.

ISSN

542 #1 $$a

Mapping rule 1.

eISSN

ISBN

540 #1 $$a

Mapping rule 1.

CODEN

376 b1 $$a

Mapping rule 1.

SICI

---

Metadata format

IF 519 exists ->dissertation

Else based on Resource type from display:

• book ->book

• journal ->journal

• article ->journal

• conference_proceeding & record has ISSN ->journal

  Else ->book

Mapping table "Metadata format" is used.

Genre

The Genre mapping table maps the resource type from the display section of the PNX to the genre that is required by the OpenURL.

Use Genre mapping table.

RISType

---

Notes

519 #1 $$a

517 #1 $$p, $$a

Mapping rule 1.

Subfields $$p and $$a of fields 5XX#1 are merged like this:

$$p + suffix ":_" is the prefix for $$a

Abstract

750 #1 $$a

753 #1 $$a

756 #1 $$a

Mapping rule 1.

City of Publication

410 ## $$a

415 ## $$a

Mapping rule 4.

Publisher

412 ## $$a

417 ## $$a

Mapping rule 4.

Miscellaneous 1

---

Miscellaneous 2

---

Miscellaneous 3

---

OCLC ID

---

DOI

552 #1 $$a

Mapping rule 1.

URL

655 #1 $$u

655 #1 $$g

552 #1 $$a

Mapping rule 1.

Institution

PNX: delivery/institution

Author

100 #1 $$a

104 a1 $$a

108 a1 $$a

(every 4th tag, until 136_1)

200 #1 $$a

204 a1 $$a

208 a1 $$a

$$D (display form) and $$E (normalized form) are created.

Title

331 ## $$a

335 ## $$a

360 ## $$a

089 #1 $$a

304 #1 $$a

310 #1 $$a

340 #1 $$a - 352#1 $$a

(every 4th tag)

341 #1 $$a - 353#1$$a

(every 4th tag)

Fields are merged in the following way for $$D (display form):

331#2 : 335#2

331#2. 089#1

331#1 : 335#1

Fields are merged in the following way for $$E (normalized form):

331#2 335#2

331#2 089#1

331#1 335#1

Subject

902 ##

(Take any subfields except $$1 and $$9)

907 ##

(Take any subfields except $$1,$$9,$$a)

912 #1

(every 5th tag until 947; take any subfields except $$1,$$9,$$a)

710 ## $$a

711 ## $$a

740 ## $$a

$$D (display form) and $$E (normalized form) are created.

Call number

AVA $$d (for call number)

AVA $$a (for institution)

$$D (display form) and $$E (normalized form) are created.